Skip to content

[PyTorch] Prune L0 unit test#1999

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
ksivaman merged 8 commits into from
Jul 29, 2025
Merged

[PyTorch] Prune L0 unit test #1999

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
8 commits
Select commit Hold shift + click to select a range
7c539c3
Add verbosity only for failing tests
ksivaman Jul 25, 2025
094c4ec
Prune some tests and preinit recipe
ksivaman Jul 26, 2025
979c2b8
Prune further tests
ksivaman Jul 27, 2025
ec9bde0
fix multitensor
ksivaman Jul 27, 2025
a853fff
Merge branch 'main' into prune_pytorch_L0_tests
ksivaman Jul 27, 2025
2615943
Minor fixes
ksivaman Jul 27, 2025
742a204
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Jul 27, 2025
7f6996f
fix a100
ksivaman Jul 27, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
48 changes: 24 additions & 24 deletions qa/L0_pytorch_unittest/test.sh
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -26,30 +26,30 @@ pip3 install pytest==8.2.1 || error_exit "Failed to install pytest"
pip3 install onnxruntime==1.20.1 || error_exit "Failed to install onnxruntime"
pip3 install onnxruntime_extensions==0.13.0 || error_exit "Failed to install onnxruntime_extensions"

python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_sanity.xml $TE_PATH/tests/pytorch/test_sanity.py || test_fail "test_sanity.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_recipe.xml $TE_PATH/tests/pytorch/test_recipe.py || test_fail "test_recipe.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_deferred_init.xml $TE_PATH/tests/pytorch/test_deferred_init.py || test_fail "test_deferred_init.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_numerics.xml $TE_PATH/tests/pytorch/test_numerics.py || test_fail "test_numerics.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_cuda_graphs.xml $TE_PATH/tests/pytorch/test_cuda_graphs.py || test_fail "test_cuda_graphs.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_jit.xml $TE_PATH/tests/pytorch/test_jit.py || test_fail "test_jit.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fused_rope.xml $TE_PATH/tests/pytorch/test_fused_rope.py || test_fail "test_fused_rope.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8tensor.xml $TE_PATH/tests/pytorch/test_float8tensor.py || test_fail "test_float8tensor.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8blockwisetensor.xml $TE_PATH/tests/pytorch/test_float8blockwisetensor.py || test_fail "test_float8blockwisetensor.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_scaling_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_scaling_exact.py || test_fail "test_float8_blockwise_scaling_exact.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_gemm_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_gemm_exact.py || test_fail "test_float8_blockwise_gemm_exact.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_gqa.xml $TE_PATH/tests/pytorch/test_gqa.py || test_fail "test_gqa.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fused_optimizer.xml $TE_PATH/tests/pytorch/test_fused_optimizer.py || test_fail "test_fused_optimizer.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_multi_tensor.xml $TE_PATH/tests/pytorch/test_multi_tensor.py || test_fail "test_multi_tensor.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_onnx_export.xml $TE_PATH/tests/pytorch/test_onnx_export.py || test_fail "test_onnx_export.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fusible_ops.xml $TE_PATH/tests/pytorch/test_fusible_ops.py || test_fail "test_fusible_ops.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_permutation.xml $TE_PATH/tests/pytorch/test_permutation.py || test_fail "test_permutation.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_parallel_cross_entropy.xml $TE_PATH/tests/pytorch/test_parallel_cross_entropy.py || test_fail "test_parallel_cross_entropy.py"
NVTE_FLASH_ATTN=0 python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_cpu_offloading.xml $TE_PATH/tests/pytorch/test_cpu_offloading.py || test_fail "test_cpu_offloading.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_attention.xml $TE_PATH/tests/pytorch/attention/test_attention.py || test_fail "test_attention.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_kv_cache.xml $TE_PATH/tests/pytorch/attention/test_kv_cache.py || test_fail "test_kv_cache.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_hf_integration.xml $TE_PATH/tests/pytorch/test_hf_integration.py || test_fail "test_hf_integration.py"
NVTE_TEST_CHECKPOINT_ARTIFACT_PATH=$TE_PATH/artifacts/tests/pytorch/test_checkpoint python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_checkpoint.xml $TE_PATH/tests/pytorch/test_checkpoint.py || test_fail "test_checkpoint.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fused_router.xml $TE_PATH/tests/pytorch/test_fused_router.py || test_fail "test_fused_router.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_sanity.xml $TE_PATH/tests/pytorch/test_sanity.py || test_fail "test_sanity.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_recipe.xml $TE_PATH/tests/pytorch/test_recipe.py || test_fail "test_recipe.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_deferred_init.xml $TE_PATH/tests/pytorch/test_deferred_init.py || test_fail "test_deferred_init.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_numerics.xml $TE_PATH/tests/pytorch/test_numerics.py || test_fail "test_numerics.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_cuda_graphs.xml $TE_PATH/tests/pytorch/test_cuda_graphs.py || test_fail "test_cuda_graphs.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_jit.xml $TE_PATH/tests/pytorch/test_jit.py || test_fail "test_jit.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_rope.xml $TE_PATH/tests/pytorch/test_fused_rope.py || test_fail "test_fused_rope.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8tensor.xml $TE_PATH/tests/pytorch/test_float8tensor.py || test_fail "test_float8tensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8blockwisetensor.xml $TE_PATH/tests/pytorch/test_float8blockwisetensor.py || test_fail "test_float8blockwisetensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_scaling_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_scaling_exact.py || test_fail "test_float8_blockwise_scaling_exact.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_gemm_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_gemm_exact.py || test_fail "test_float8_blockwise_gemm_exact.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_gqa.xml $TE_PATH/tests/pytorch/test_gqa.py || test_fail "test_gqa.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_optimizer.xml $TE_PATH/tests/pytorch/test_fused_optimizer.py || test_fail "test_fused_optimizer.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_multi_tensor.xml $TE_PATH/tests/pytorch/test_multi_tensor.py || test_fail "test_multi_tensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_onnx_export.xml $TE_PATH/tests/pytorch/test_onnx_export.py || test_fail "test_onnx_export.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fusible_ops.xml $TE_PATH/tests/pytorch/test_fusible_ops.py || test_fail "test_fusible_ops.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_permutation.xml $TE_PATH/tests/pytorch/test_permutation.py || test_fail "test_permutation.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_parallel_cross_entropy.xml $TE_PATH/tests/pytorch/test_parallel_cross_entropy.py || test_fail "test_parallel_cross_entropy.py"
NVTE_FLASH_ATTN=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_cpu_offloading.xml $TE_PATH/tests/pytorch/test_cpu_offloading.py || test_fail "test_cpu_offloading.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_attention.xml $TE_PATH/tests/pytorch/attention/test_attention.py || test_fail "test_attention.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_kv_cache.xml $TE_PATH/tests/pytorch/attention/test_kv_cache.py || test_fail "test_kv_cache.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_hf_integration.xml $TE_PATH/tests/pytorch/test_hf_integration.py || test_fail "test_hf_integration.py"
NVTE_TEST_CHECKPOINT_ARTIFACT_PATH=$TE_PATH/artifacts/tests/pytorch/test_checkpoint python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_checkpoint.xml $TE_PATH/tests/pytorch/test_checkpoint.py || test_fail "test_checkpoint.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_router.xml $TE_PATH/tests/pytorch/test_fused_router.py || test_fail "test_fused_router.py"

if [ "$RET" -ne 0 ]; then
echo "Error in the following test cases:$FAILED_CASES"
Expand Down
5 changes: 1 addition & 4 deletions tests/pytorch/attention/test_attention.py
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -6,7 +6,7 @@
import os
import sys
import pathlib
from typing import Any, Dict, List, Tuple, Union, Optional
from typing import Any, Dict, Tuple, Union

import pytest
import torch
Expand All@@ -20,10 +20,8 @@
from transformer_engine.pytorch.attention.multi_head_attention import MultiheadAttention
from transformer_engine.pytorch.attention.dot_product_attention.utils import (
FlashAttentionUtils,
get_attention_backend,
check_set_window_size,
)
from transformer_engine.pytorch.attention import InferenceParams
from transformer_engine.pytorch.attention import RotaryPositionEmbedding
import transformer_engine.pytorch.cpp_extensions as ext
from transformer_engine.pytorch.cpp_extensions.fused_attn import (
Expand DownExpand Up@@ -54,7 +52,6 @@
reset_rng_states,
ModelConfig,
dtype_tols,
logging_context,
get_available_attention_backends,
)

Expand Down
19 changes: 5 additions & 14 deletions tests/pytorch/test_cpu_offloading.py
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -14,15 +14,12 @@
from utils import ModelConfig, get_available_attention_backends

# Check if FP8 is supported
fp8_available, reason_for_no_fp8 = FP8GlobalStateManager.is_fp8_available()
mxfp8_available, reason_for_no_mxfp8 = FP8GlobalStateManager.is_mxfp8_available()
fp8_available, _ = FP8GlobalStateManager.is_fp8_available()

fp8_recipes = [
None, # non-fp8
# recipe.MXFP8BlockScaling(), - scale inverse tensors offloading doest not work yet
recipe.Float8CurrentScaling(),
recipe.DelayedScaling(),
]
fp8_recipes = [None]
if fp8_available:
fp8_recipes.append(recipe.Float8CurrentScaling())
fp8_recipes.append(recipe.DelayedScaling())

model_config = {
"small": ModelConfig(8, 512, 8, 64, num_layers=5, eps=0.1),
Expand DownExpand Up@@ -129,12 +126,6 @@ def test_cpu_offload(fp8_recipe, model_key) -> None:
model_cls = model_types[model_key]
models_list = [model_cls() for _ in range(NUM_LAYERS)]

if fp8_recipe and not fp8_available:
pytest.skip(reason_for_no_fp8)
if fp8_recipe is not None:
if fp8_recipe.mxfp8() and not mxfp8_available:
pytest.skip(reason_for_no_mxfp8)

if model_key in ["multihead_attention", "transformer_layer"]:
available_backends, *_ = get_available_attention_backends(
model_config["small"],
Expand Down
44 changes: 16 additions & 28 deletions tests/pytorch/test_cuda_graphs.py
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -2,9 +2,7 @@
#
# See LICENSE for license information.

from dataclasses import dataclass
import itertools
from typing import Iterable, List, Tuple, Union
from typing import Iterable, List, Union
import pytest

import torch
Expand All@@ -26,11 +24,9 @@
from utils import ModelConfig, reset_rng_states

# Check if FP8 is supported.
fp8_available, reason_for_no_fp8 = FP8GlobalStateManager.is_fp8_available()
fp8_block_scaling_available, reason_for_no_fp8_block_scaling = (
FP8GlobalStateManager.is_fp8_block_scaling_available()
)
mxfp8_available, reason_for_no_mxfp8 = FP8GlobalStateManager.is_mxfp8_available()
fp8_available, _ = FP8GlobalStateManager.is_fp8_available()
fp8_block_scaling_available, _ = FP8GlobalStateManager.is_fp8_block_scaling_available()
mxfp8_available, _ = FP8GlobalStateManager.is_mxfp8_available()

# Reset RNG states.
reset_rng_states()
Expand All@@ -39,12 +35,14 @@
"small": ModelConfig(32, 2, 2, 32),
}

fp8_recipes = [
recipe.DelayedScaling(),
recipe.MXFP8BlockScaling(),
recipe.Float8CurrentScaling(),
recipe.Float8BlockScaling(),
]
fp8_recipes = []
if mxfp8_available:
fp8_recipes.append(recipe.MXFP8BlockScaling())
if fp8_block_scaling_available:
fp8_recipes.append(recipe.Float8BlockScaling())
if fp8_available:
fp8_recipes.append(recipe.Float8CurrentScaling())
fp8_recipes.append(recipe.DelayedScaling())

# Supported data types
dtypes: List[torch.dtype] = [torch.float32, torch.float16]
Expand DownExpand Up@@ -277,35 +275,27 @@ def _test_cuda_graphs(

@pytest.mark.parametrize("module", _test_cuda_graphs_modules)
@pytest.mark.parametrize("dtype", dtypes)
@pytest.mark.parametrize("fp8", (False, True))
@pytest.mark.parametrize("fp8_params", (False, True))
@pytest.mark.parametrize("fp8_recipe", fp8_recipes)
@pytest.mark.parametrize("fp8_recipe", fp8_recipes + [None])
def test_make_graphed_callables(
*,
module: str,
model_config: str = "small",
num_layers: int = 3,
dtype: torch.dtype,
fp8: bool,
fp8_params: bool,
fp8_recipe: recipe.Recipe,
fp8_weight_caching: bool = False,
) -> None:

# Skip invalid configurations.
if fp8 and not fp8_available:
pytest.skip(reason_for_no_fp8)
fp8 = fp8_recipe is not None
if fp8_params and not fp8:
pytest.skip("FP8 needed for FP8 parameters.")
if fp8_weight_caching and not fp8:
pytest.skip("FP8 needed for FP8 parameters.")
if fp8_recipe.float8_block_scaling() and not fp8_block_scaling_available:
pytest.skip(reason_for_no_fp8_block_scaling)
if fp8_recipe.mxfp8() and not mxfp8_available:
pytest.skip(reason_for_no_mxfp8)

if fp8_recipe.float8_block_scaling() and module == "linear_op":
if fp8 and fp8_recipe.float8_block_scaling() and module == "linear_op":
pytest.skip("Module not yet supported for float8_block_scaling with CUDA graphs")

# Run model with different CUDA graph settings.
model_config = model_configs[model_config]
kwargs = dict(
Expand DownExpand Up@@ -336,7 +326,6 @@ def test_make_graphed_callables(
]


@pytest.mark.skipif(not fp8_available, reason=reason_for_no_fp8)
@pytest.mark.parametrize(
"module",
_test_make_graphed_callables_with_fp8_weight_caching_modules,
Expand All@@ -352,7 +341,6 @@ def test_make_graphed_callables_with_fp8_weight_caching(
test_make_graphed_callables(
module=module,
dtype=torch.float32,
fp8=True,
fp8_params=fp8_params,
fp8_recipe=fp8_recipe,
fp8_weight_caching=True,
Expand Down
1 change: 0 additions & 1 deletion tests/pytorch/test_fused_optimizer.py
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -2,7 +2,6 @@
#
# See LICENSE for license information.

from itertools import product
import copy
from contextlib import nullcontext

Expand Down
3 changes: 1 addition & 2 deletions tests/pytorch/test_fused_router.py
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -2,8 +2,7 @@
#
# See LICENSE for license information.
import torch
import math
from typing import Optional, Dict
from typing import Optional
from transformer_engine.pytorch.router import (
fused_topk_with_score_function,
fused_compute_score_for_moe_aux_loss,
Expand Down
1 change: 0 additions & 1 deletion tests/pytorch/test_hf_integration.py
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -7,7 +7,6 @@
from transformers.modeling_utils import PreTrainedModel

from transformer_engine.pytorch.transformer import TransformerLayer
from transformer_engine.pytorch.utils import is_bf16_compatible


class SimpleTEModel(PreTrainedModel):
Expand Down
Loading
, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
 blocks
(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
[PyTorch] Prune L0 unit test by ksivaman · Pull Request #1999 · NVIDIA/TransformerEngine · GitHub
Skip to content
[PyTorch] Prune L0 unit test#1999

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

 Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and
privacy statement. We’ll occasionally send you account related emails.

Already on GitHub?
Sign in
to your account

 Merged

ksivaman
merged 8 commits into

from

Jul 29, 2025
 Merged


[PyTorch] Prune L0 unit test
#1999
Show file tree
Hide file tree
 Changes from all commits
Commits

Show all changes


8 commits


Select commit
Hold shift + click to select a range
7c539c3

Add verbosity only for failing tests


ksivaman Jul 25, 2025
094c4ec

Prune some tests and preinit recipe


ksivaman Jul 26, 2025
979c2b8

Prune further tests


ksivaman Jul 27, 2025
ec9bde0

fix multitensor


ksivaman Jul 27, 2025
a853fff

Merge branch 'main' into prune_pytorch_L0_tests


ksivaman Jul 27, 2025
2615943

Minor fixes


ksivaman Jul 27, 2025
742a204

[pre-commit.ci] auto fixes from pre-commit.com hooks


pre-commit-ci[bot] Jul 27, 2025
7f6996f

fix a100


ksivaman Jul 27, 2025

File filter

Filter by extension
Filter by extension
Conversations

Failed to load comments. 
Loading
Jump to

Jump to file


Failed to load files. 
Loading
 Diff view

 Diff view


48 changes: 24 additions & 24 deletions
qa/L0_pytorch_unittest/test.sh

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -26,30 +26,30 @@ pip3 install pytest==8.2.1 || error_exit "Failed to install pytest"
pip3 install onnxruntime==1.20.1 || error_exit "Failed to install onnxruntime"
pip3 install onnxruntime_extensions==0.13.0 || error_exit "Failed to install onnxruntime_extensions"

python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_sanity.xml $TE_PATH/tests/pytorch/test_sanity.py || test_fail "test_sanity.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_recipe.xml $TE_PATH/tests/pytorch/test_recipe.py || test_fail "test_recipe.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_deferred_init.xml $TE_PATH/tests/pytorch/test_deferred_init.py || test_fail "test_deferred_init.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_numerics.xml $TE_PATH/tests/pytorch/test_numerics.py || test_fail "test_numerics.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_cuda_graphs.xml $TE_PATH/tests/pytorch/test_cuda_graphs.py || test_fail "test_cuda_graphs.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_jit.xml $TE_PATH/tests/pytorch/test_jit.py || test_fail "test_jit.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fused_rope.xml $TE_PATH/tests/pytorch/test_fused_rope.py || test_fail "test_fused_rope.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8tensor.xml $TE_PATH/tests/pytorch/test_float8tensor.py || test_fail "test_float8tensor.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8blockwisetensor.xml $TE_PATH/tests/pytorch/test_float8blockwisetensor.py || test_fail "test_float8blockwisetensor.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_scaling_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_scaling_exact.py || test_fail "test_float8_blockwise_scaling_exact.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_gemm_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_gemm_exact.py || test_fail "test_float8_blockwise_gemm_exact.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_gqa.xml $TE_PATH/tests/pytorch/test_gqa.py || test_fail "test_gqa.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fused_optimizer.xml $TE_PATH/tests/pytorch/test_fused_optimizer.py || test_fail "test_fused_optimizer.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_multi_tensor.xml $TE_PATH/tests/pytorch/test_multi_tensor.py || test_fail "test_multi_tensor.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_onnx_export.xml $TE_PATH/tests/pytorch/test_onnx_export.py || test_fail "test_onnx_export.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fusible_ops.xml $TE_PATH/tests/pytorch/test_fusible_ops.py || test_fail "test_fusible_ops.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_permutation.xml $TE_PATH/tests/pytorch/test_permutation.py || test_fail "test_permutation.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_parallel_cross_entropy.xml $TE_PATH/tests/pytorch/test_parallel_cross_entropy.py || test_fail "test_parallel_cross_entropy.py"
NVTE_FLASH_ATTN=0 python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_cpu_offloading.xml $TE_PATH/tests/pytorch/test_cpu_offloading.py || test_fail "test_cpu_offloading.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_attention.xml $TE_PATH/tests/pytorch/attention/test_attention.py || test_fail "test_attention.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_kv_cache.xml $TE_PATH/tests/pytorch/attention/test_kv_cache.py || test_fail "test_kv_cache.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_hf_integration.xml $TE_PATH/tests/pytorch/test_hf_integration.py || test_fail "test_hf_integration.py"
NVTE_TEST_CHECKPOINT_ARTIFACT_PATH=$TE_PATH/artifacts/tests/pytorch/test_checkpoint python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_checkpoint.xml $TE_PATH/tests/pytorch/test_checkpoint.py || test_fail "test_checkpoint.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fused_router.xml $TE_PATH/tests/pytorch/test_fused_router.py || test_fail "test_fused_router.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_sanity.xml $TE_PATH/tests/pytorch/test_sanity.py || test_fail "test_sanity.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_recipe.xml $TE_PATH/tests/pytorch/test_recipe.py || test_fail "test_recipe.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_deferred_init.xml $TE_PATH/tests/pytorch/test_deferred_init.py || test_fail "test_deferred_init.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_numerics.xml $TE_PATH/tests/pytorch/test_numerics.py || test_fail "test_numerics.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_cuda_graphs.xml $TE_PATH/tests/pytorch/test_cuda_graphs.py || test_fail "test_cuda_graphs.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_jit.xml $TE_PATH/tests/pytorch/test_jit.py || test_fail "test_jit.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_rope.xml $TE_PATH/tests/pytorch/test_fused_rope.py || test_fail "test_fused_rope.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8tensor.xml $TE_PATH/tests/pytorch/test_float8tensor.py || test_fail "test_float8tensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8blockwisetensor.xml $TE_PATH/tests/pytorch/test_float8blockwisetensor.py || test_fail "test_float8blockwisetensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_scaling_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_scaling_exact.py || test_fail "test_float8_blockwise_scaling_exact.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_gemm_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_gemm_exact.py || test_fail "test_float8_blockwise_gemm_exact.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_gqa.xml $TE_PATH/tests/pytorch/test_gqa.py || test_fail "test_gqa.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_optimizer.xml $TE_PATH/tests/pytorch/test_fused_optimizer.py || test_fail "test_fused_optimizer.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_multi_tensor.xml $TE_PATH/tests/pytorch/test_multi_tensor.py || test_fail "test_multi_tensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_onnx_export.xml $TE_PATH/tests/pytorch/test_onnx_export.py || test_fail "test_onnx_export.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fusible_ops.xml $TE_PATH/tests/pytorch/test_fusible_ops.py || test_fail "test_fusible_ops.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_permutation.xml $TE_PATH/tests/pytorch/test_permutation.py || test_fail "test_permutation.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_parallel_cross_entropy.xml $TE_PATH/tests/pytorch/test_parallel_cross_entropy.py || test_fail "test_parallel_cross_entropy.py"
NVTE_FLASH_ATTN=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_cpu_offloading.xml $TE_PATH/tests/pytorch/test_cpu_offloading.py || test_fail "test_cpu_offloading.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_attention.xml $TE_PATH/tests/pytorch/attention/test_attention.py || test_fail "test_attention.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_kv_cache.xml $TE_PATH/tests/pytorch/attention/test_kv_cache.py || test_fail "test_kv_cache.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_hf_integration.xml $TE_PATH/tests/pytorch/test_hf_integration.py || test_fail "test_hf_integration.py"
NVTE_TEST_CHECKPOINT_ARTIFACT_PATH=$TE_PATH/artifacts/tests/pytorch/test_checkpoint python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_checkpoint.xml $TE_PATH/tests/pytorch/test_checkpoint.py || test_fail "test_checkpoint.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_router.xml $TE_PATH/tests/pytorch/test_fused_router.py || test_fail "test_fused_router.py"

if [ "$RET" -ne 0 ]; then
 echo "Error in the following test cases:$FAILED_CASES"
Expand Down

5 changes: 1 addition & 4 deletions
tests/pytorch/attention/test_attention.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -6,7 +6,7 @@
import os
import sys
import pathlib
from typing import Any, Dict, List, Tuple, Union, Optional
from typing import Any, Dict, Tuple, Union

import pytest
import torch
Expand All@@ -20,10 +20,8 @@
from transformer_engine.pytorch.attention.multi_head_attention import MultiheadAttention
from transformer_engine.pytorch.attention.dot_product_attention.utils import (
 FlashAttentionUtils,
 get_attention_backend,
 check_set_window_size,
)
from transformer_engine.pytorch.attention import InferenceParams
from transformer_engine.pytorch.attention import RotaryPositionEmbedding
import transformer_engine.pytorch.cpp_extensions as ext
from transformer_engine.pytorch.cpp_extensions.fused_attn import (
Expand DownExpand Up@@ -54,7 +52,6 @@
 reset_rng_states,
 ModelConfig,
 dtype_tols,
 logging_context,
 get_available_attention_backends,
)

Expand Down

19 changes: 5 additions & 14 deletions
tests/pytorch/test_cpu_offloading.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -14,15 +14,12 @@
from utils import ModelConfig, get_available_attention_backends

# Check if FP8 is supported
fp8_available, reason_for_no_fp8 = FP8GlobalStateManager.is_fp8_available()
mxfp8_available, reason_for_no_mxfp8 = FP8GlobalStateManager.is_mxfp8_available()
fp8_available, _ = FP8GlobalStateManager.is_fp8_available()

fp8_recipes = [
 None, # non-fp8
 # recipe.MXFP8BlockScaling(), - scale inverse tensors offloading doest not work yet
 recipe.Float8CurrentScaling(),
 recipe.DelayedScaling(),
]
fp8_recipes = [None]
if fp8_available:
 fp8_recipes.append(recipe.Float8CurrentScaling())
 fp8_recipes.append(recipe.DelayedScaling())

model_config = {
 "small": ModelConfig(8, 512, 8, 64, num_layers=5, eps=0.1),
Expand DownExpand Up@@ -129,12 +126,6 @@ def test_cpu_offload(fp8_recipe, model_key) -> None:
 model_cls = model_types[model_key]
 models_list = [model_cls() for _ in range(NUM_LAYERS)]

 if fp8_recipe and not fp8_available:
 pytest.skip(reason_for_no_fp8)
 if fp8_recipe is not None:
 if fp8_recipe.mxfp8() and not mxfp8_available:
 pytest.skip(reason_for_no_mxfp8)

 if model_key in ["multihead_attention", "transformer_layer"]:
 available_backends, *_ = get_available_attention_backends(
 model_config["small"],
Expand Down

44 changes: 16 additions & 28 deletions
tests/pytorch/test_cuda_graphs.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,9 +2,7 @@
#
# See LICENSE for license information.

from dataclasses import dataclass
import itertools
from typing import Iterable, List, Tuple, Union
from typing import Iterable, List, Union
import pytest

import torch
Expand All@@ -26,11 +24,9 @@
from utils import ModelConfig, reset_rng_states

# Check if FP8 is supported.
fp8_available, reason_for_no_fp8 = FP8GlobalStateManager.is_fp8_available()
fp8_block_scaling_available, reason_for_no_fp8_block_scaling = (
 FP8GlobalStateManager.is_fp8_block_scaling_available()
)
mxfp8_available, reason_for_no_mxfp8 = FP8GlobalStateManager.is_mxfp8_available()
fp8_available, _ = FP8GlobalStateManager.is_fp8_available()
fp8_block_scaling_available, _ = FP8GlobalStateManager.is_fp8_block_scaling_available()
mxfp8_available, _ = FP8GlobalStateManager.is_mxfp8_available()

# Reset RNG states.
reset_rng_states()
Expand All@@ -39,12 +35,14 @@
 "small": ModelConfig(32, 2, 2, 32),
}

fp8_recipes = [
 recipe.DelayedScaling(),
 recipe.MXFP8BlockScaling(),
 recipe.Float8CurrentScaling(),
 recipe.Float8BlockScaling(),
]
fp8_recipes = []
if mxfp8_available:
 fp8_recipes.append(recipe.MXFP8BlockScaling())
if fp8_block_scaling_available:
 fp8_recipes.append(recipe.Float8BlockScaling())
if fp8_available:
 fp8_recipes.append(recipe.Float8CurrentScaling())
 fp8_recipes.append(recipe.DelayedScaling())

# Supported data types
dtypes: List[torch.dtype] = [torch.float32, torch.float16]
Expand DownExpand Up@@ -277,35 +275,27 @@ def _test_cuda_graphs(

@pytest.mark.parametrize("module", _test_cuda_graphs_modules)
@pytest.mark.parametrize("dtype", dtypes)
@pytest.mark.parametrize("fp8", (False, True))
@pytest.mark.parametrize("fp8_params", (False, True))
@pytest.mark.parametrize("fp8_recipe", fp8_recipes)
@pytest.mark.parametrize("fp8_recipe", fp8_recipes + [None])
def test_make_graphed_callables(
 *,
 module: str,
 model_config: str = "small",
 num_layers: int = 3,
 dtype: torch.dtype,
 fp8: bool,
 fp8_params: bool,
 fp8_recipe: recipe.Recipe,
 fp8_weight_caching: bool = False,
) -> None:

 # Skip invalid configurations.
 if fp8 and not fp8_available:
 pytest.skip(reason_for_no_fp8)
 fp8 = fp8_recipe is not None
 if fp8_params and not fp8:
 pytest.skip("FP8 needed for FP8 parameters.")
 if fp8_weight_caching and not fp8:
 pytest.skip("FP8 needed for FP8 parameters.")
 if fp8_recipe.float8_block_scaling() and not fp8_block_scaling_available:
 pytest.skip(reason_for_no_fp8_block_scaling)
 if fp8_recipe.mxfp8() and not mxfp8_available:
 pytest.skip(reason_for_no_mxfp8)

 if fp8_recipe.float8_block_scaling() and module == "linear_op":
 if fp8 and fp8_recipe.float8_block_scaling() and module == "linear_op":
 pytest.skip("Module not yet supported for float8_block_scaling with CUDA graphs")

 # Run model with different CUDA graph settings.
 model_config = model_configs[model_config]
 kwargs = dict(
Expand DownExpand Up@@ -336,7 +326,6 @@ def test_make_graphed_callables(
]


@pytest.mark.skipif(not fp8_available, reason=reason_for_no_fp8)
@pytest.mark.parametrize(
 "module",
 _test_make_graphed_callables_with_fp8_weight_caching_modules,
Expand All@@ -352,7 +341,6 @@ def test_make_graphed_callables_with_fp8_weight_caching(
 test_make_graphed_callables(
 module=module,
 dtype=torch.float32,
 fp8=True,
 fp8_params=fp8_params,
 fp8_recipe=fp8_recipe,
 fp8_weight_caching=True,
Expand Down

1 change: 0 additions & 1 deletion
tests/pytorch/test_fused_optimizer.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,7 +2,6 @@
#
# See LICENSE for license information.

from itertools import product
import copy
from contextlib import nullcontext

Expand Down

3 changes: 1 addition & 2 deletions
tests/pytorch/test_fused_router.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,8 +2,7 @@
#
# See LICENSE for license information.
import torch
import math
from typing import Optional, Dict
from typing import Optional
from transformer_engine.pytorch.router import (
 fused_topk_with_score_function,
 fused_compute_score_for_moe_aux_loss,
Expand Down

1 change: 0 additions & 1 deletion
tests/pytorch/test_hf_integration.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -7,7 +7,6 @@
from transformers.modeling_utils import PreTrainedModel

from transformer_engine.pytorch.transformer import TransformerLayer
from transformer_engine.pytorch.utils import is_bf16_compatible


class SimpleTEModel(PreTrainedModel):
Expand Down
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
.markdown-body pre { background: #161b22 !important; }
.markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }
.markdown-body table th, .markdown-body table td { border-color: #30363d !important; }
.markdown-body img { background: #0d1117; }
.markdown-body blockquote { border-left-color: #8b949e; }
.markdown-body hr { border-color: #30363d; }
';
document.head.appendChild(style);
})();
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
[PyTorch] Prune L0 unit test by ksivaman · Pull Request #1999 · NVIDIA/TransformerEngine · GitHub
Skip to content
[PyTorch] Prune L0 unit test#1999

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

 Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and
privacy statement. We’ll occasionally send you account related emails.

Already on GitHub?
Sign in
to your account

 Merged

ksivaman
merged 8 commits into

from

Jul 29, 2025
 Merged


[PyTorch] Prune L0 unit test
#1999
Show file tree
Hide file tree
 Changes from all commits
Commits

Show all changes


8 commits


Select commit
Hold shift + click to select a range
7c539c3

Add verbosity only for failing tests


ksivaman Jul 25, 2025
094c4ec

Prune some tests and preinit recipe


ksivaman Jul 26, 2025
979c2b8

Prune further tests


ksivaman Jul 27, 2025
ec9bde0

fix multitensor


ksivaman Jul 27, 2025
a853fff

Merge branch 'main' into prune_pytorch_L0_tests


ksivaman Jul 27, 2025
2615943

Minor fixes


ksivaman Jul 27, 2025
742a204

[pre-commit.ci] auto fixes from pre-commit.com hooks


pre-commit-ci[bot] Jul 27, 2025
7f6996f

fix a100


ksivaman Jul 27, 2025

File filter

Filter by extension
Filter by extension
Conversations

Failed to load comments. 
Loading
Jump to

Jump to file


Failed to load files. 
Loading
 Diff view

 Diff view


48 changes: 24 additions & 24 deletions
qa/L0_pytorch_unittest/test.sh

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -26,30 +26,30 @@ pip3 install pytest==8.2.1 || error_exit "Failed to install pytest"
pip3 install onnxruntime==1.20.1 || error_exit "Failed to install onnxruntime"
pip3 install onnxruntime_extensions==0.13.0 || error_exit "Failed to install onnxruntime_extensions"

python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_sanity.xml $TE_PATH/tests/pytorch/test_sanity.py || test_fail "test_sanity.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_recipe.xml $TE_PATH/tests/pytorch/test_recipe.py || test_fail "test_recipe.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_deferred_init.xml $TE_PATH/tests/pytorch/test_deferred_init.py || test_fail "test_deferred_init.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_numerics.xml $TE_PATH/tests/pytorch/test_numerics.py || test_fail "test_numerics.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_cuda_graphs.xml $TE_PATH/tests/pytorch/test_cuda_graphs.py || test_fail "test_cuda_graphs.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_jit.xml $TE_PATH/tests/pytorch/test_jit.py || test_fail "test_jit.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fused_rope.xml $TE_PATH/tests/pytorch/test_fused_rope.py || test_fail "test_fused_rope.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8tensor.xml $TE_PATH/tests/pytorch/test_float8tensor.py || test_fail "test_float8tensor.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8blockwisetensor.xml $TE_PATH/tests/pytorch/test_float8blockwisetensor.py || test_fail "test_float8blockwisetensor.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_scaling_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_scaling_exact.py || test_fail "test_float8_blockwise_scaling_exact.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_gemm_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_gemm_exact.py || test_fail "test_float8_blockwise_gemm_exact.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_gqa.xml $TE_PATH/tests/pytorch/test_gqa.py || test_fail "test_gqa.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fused_optimizer.xml $TE_PATH/tests/pytorch/test_fused_optimizer.py || test_fail "test_fused_optimizer.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_multi_tensor.xml $TE_PATH/tests/pytorch/test_multi_tensor.py || test_fail "test_multi_tensor.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_onnx_export.xml $TE_PATH/tests/pytorch/test_onnx_export.py || test_fail "test_onnx_export.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fusible_ops.xml $TE_PATH/tests/pytorch/test_fusible_ops.py || test_fail "test_fusible_ops.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_permutation.xml $TE_PATH/tests/pytorch/test_permutation.py || test_fail "test_permutation.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_parallel_cross_entropy.xml $TE_PATH/tests/pytorch/test_parallel_cross_entropy.py || test_fail "test_parallel_cross_entropy.py"
NVTE_FLASH_ATTN=0 python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_cpu_offloading.xml $TE_PATH/tests/pytorch/test_cpu_offloading.py || test_fail "test_cpu_offloading.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_attention.xml $TE_PATH/tests/pytorch/attention/test_attention.py || test_fail "test_attention.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_kv_cache.xml $TE_PATH/tests/pytorch/attention/test_kv_cache.py || test_fail "test_kv_cache.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_hf_integration.xml $TE_PATH/tests/pytorch/test_hf_integration.py || test_fail "test_hf_integration.py"
NVTE_TEST_CHECKPOINT_ARTIFACT_PATH=$TE_PATH/artifacts/tests/pytorch/test_checkpoint python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_checkpoint.xml $TE_PATH/tests/pytorch/test_checkpoint.py || test_fail "test_checkpoint.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fused_router.xml $TE_PATH/tests/pytorch/test_fused_router.py || test_fail "test_fused_router.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_sanity.xml $TE_PATH/tests/pytorch/test_sanity.py || test_fail "test_sanity.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_recipe.xml $TE_PATH/tests/pytorch/test_recipe.py || test_fail "test_recipe.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_deferred_init.xml $TE_PATH/tests/pytorch/test_deferred_init.py || test_fail "test_deferred_init.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_numerics.xml $TE_PATH/tests/pytorch/test_numerics.py || test_fail "test_numerics.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_cuda_graphs.xml $TE_PATH/tests/pytorch/test_cuda_graphs.py || test_fail "test_cuda_graphs.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_jit.xml $TE_PATH/tests/pytorch/test_jit.py || test_fail "test_jit.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_rope.xml $TE_PATH/tests/pytorch/test_fused_rope.py || test_fail "test_fused_rope.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8tensor.xml $TE_PATH/tests/pytorch/test_float8tensor.py || test_fail "test_float8tensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8blockwisetensor.xml $TE_PATH/tests/pytorch/test_float8blockwisetensor.py || test_fail "test_float8blockwisetensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_scaling_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_scaling_exact.py || test_fail "test_float8_blockwise_scaling_exact.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_gemm_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_gemm_exact.py || test_fail "test_float8_blockwise_gemm_exact.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_gqa.xml $TE_PATH/tests/pytorch/test_gqa.py || test_fail "test_gqa.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_optimizer.xml $TE_PATH/tests/pytorch/test_fused_optimizer.py || test_fail "test_fused_optimizer.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_multi_tensor.xml $TE_PATH/tests/pytorch/test_multi_tensor.py || test_fail "test_multi_tensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_onnx_export.xml $TE_PATH/tests/pytorch/test_onnx_export.py || test_fail "test_onnx_export.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fusible_ops.xml $TE_PATH/tests/pytorch/test_fusible_ops.py || test_fail "test_fusible_ops.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_permutation.xml $TE_PATH/tests/pytorch/test_permutation.py || test_fail "test_permutation.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_parallel_cross_entropy.xml $TE_PATH/tests/pytorch/test_parallel_cross_entropy.py || test_fail "test_parallel_cross_entropy.py"
NVTE_FLASH_ATTN=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_cpu_offloading.xml $TE_PATH/tests/pytorch/test_cpu_offloading.py || test_fail "test_cpu_offloading.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_attention.xml $TE_PATH/tests/pytorch/attention/test_attention.py || test_fail "test_attention.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_kv_cache.xml $TE_PATH/tests/pytorch/attention/test_kv_cache.py || test_fail "test_kv_cache.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_hf_integration.xml $TE_PATH/tests/pytorch/test_hf_integration.py || test_fail "test_hf_integration.py"
NVTE_TEST_CHECKPOINT_ARTIFACT_PATH=$TE_PATH/artifacts/tests/pytorch/test_checkpoint python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_checkpoint.xml $TE_PATH/tests/pytorch/test_checkpoint.py || test_fail "test_checkpoint.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_router.xml $TE_PATH/tests/pytorch/test_fused_router.py || test_fail "test_fused_router.py"

if [ "$RET" -ne 0 ]; then
 echo "Error in the following test cases:$FAILED_CASES"
Expand Down

5 changes: 1 addition & 4 deletions
tests/pytorch/attention/test_attention.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -6,7 +6,7 @@
import os
import sys
import pathlib
from typing import Any, Dict, List, Tuple, Union, Optional
from typing import Any, Dict, Tuple, Union

import pytest
import torch
Expand All@@ -20,10 +20,8 @@
from transformer_engine.pytorch.attention.multi_head_attention import MultiheadAttention
from transformer_engine.pytorch.attention.dot_product_attention.utils import (
 FlashAttentionUtils,
 get_attention_backend,
 check_set_window_size,
)
from transformer_engine.pytorch.attention import InferenceParams
from transformer_engine.pytorch.attention import RotaryPositionEmbedding
import transformer_engine.pytorch.cpp_extensions as ext
from transformer_engine.pytorch.cpp_extensions.fused_attn import (
Expand DownExpand Up@@ -54,7 +52,6 @@
 reset_rng_states,
 ModelConfig,
 dtype_tols,
 logging_context,
 get_available_attention_backends,
)

Expand Down

19 changes: 5 additions & 14 deletions
tests/pytorch/test_cpu_offloading.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -14,15 +14,12 @@
from utils import ModelConfig, get_available_attention_backends

# Check if FP8 is supported
fp8_available, reason_for_no_fp8 = FP8GlobalStateManager.is_fp8_available()
mxfp8_available, reason_for_no_mxfp8 = FP8GlobalStateManager.is_mxfp8_available()
fp8_available, _ = FP8GlobalStateManager.is_fp8_available()

fp8_recipes = [
 None, # non-fp8
 # recipe.MXFP8BlockScaling(), - scale inverse tensors offloading doest not work yet
 recipe.Float8CurrentScaling(),
 recipe.DelayedScaling(),
]
fp8_recipes = [None]
if fp8_available:
 fp8_recipes.append(recipe.Float8CurrentScaling())
 fp8_recipes.append(recipe.DelayedScaling())

model_config = {
 "small": ModelConfig(8, 512, 8, 64, num_layers=5, eps=0.1),
Expand DownExpand Up@@ -129,12 +126,6 @@ def test_cpu_offload(fp8_recipe, model_key) -> None:
 model_cls = model_types[model_key]
 models_list = [model_cls() for _ in range(NUM_LAYERS)]

 if fp8_recipe and not fp8_available:
 pytest.skip(reason_for_no_fp8)
 if fp8_recipe is not None:
 if fp8_recipe.mxfp8() and not mxfp8_available:
 pytest.skip(reason_for_no_mxfp8)

 if model_key in ["multihead_attention", "transformer_layer"]:
 available_backends, *_ = get_available_attention_backends(
 model_config["small"],
Expand Down

44 changes: 16 additions & 28 deletions
tests/pytorch/test_cuda_graphs.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,9 +2,7 @@
#
# See LICENSE for license information.

from dataclasses import dataclass
import itertools
from typing import Iterable, List, Tuple, Union
from typing import Iterable, List, Union
import pytest

import torch
Expand All@@ -26,11 +24,9 @@
from utils import ModelConfig, reset_rng_states

# Check if FP8 is supported.
fp8_available, reason_for_no_fp8 = FP8GlobalStateManager.is_fp8_available()
fp8_block_scaling_available, reason_for_no_fp8_block_scaling = (
 FP8GlobalStateManager.is_fp8_block_scaling_available()
)
mxfp8_available, reason_for_no_mxfp8 = FP8GlobalStateManager.is_mxfp8_available()
fp8_available, _ = FP8GlobalStateManager.is_fp8_available()
fp8_block_scaling_available, _ = FP8GlobalStateManager.is_fp8_block_scaling_available()
mxfp8_available, _ = FP8GlobalStateManager.is_mxfp8_available()

# Reset RNG states.
reset_rng_states()
Expand All@@ -39,12 +35,14 @@
 "small": ModelConfig(32, 2, 2, 32),
}

fp8_recipes = [
 recipe.DelayedScaling(),
 recipe.MXFP8BlockScaling(),
 recipe.Float8CurrentScaling(),
 recipe.Float8BlockScaling(),
]
fp8_recipes = []
if mxfp8_available:
 fp8_recipes.append(recipe.MXFP8BlockScaling())
if fp8_block_scaling_available:
 fp8_recipes.append(recipe.Float8BlockScaling())
if fp8_available:
 fp8_recipes.append(recipe.Float8CurrentScaling())
 fp8_recipes.append(recipe.DelayedScaling())

# Supported data types
dtypes: List[torch.dtype] = [torch.float32, torch.float16]
Expand DownExpand Up@@ -277,35 +275,27 @@ def _test_cuda_graphs(

@pytest.mark.parametrize("module", _test_cuda_graphs_modules)
@pytest.mark.parametrize("dtype", dtypes)
@pytest.mark.parametrize("fp8", (False, True))
@pytest.mark.parametrize("fp8_params", (False, True))
@pytest.mark.parametrize("fp8_recipe", fp8_recipes)
@pytest.mark.parametrize("fp8_recipe", fp8_recipes + [None])
def test_make_graphed_callables(
 *,
 module: str,
 model_config: str = "small",
 num_layers: int = 3,
 dtype: torch.dtype,
 fp8: bool,
 fp8_params: bool,
 fp8_recipe: recipe.Recipe,
 fp8_weight_caching: bool = False,
) -> None:

 # Skip invalid configurations.
 if fp8 and not fp8_available:
 pytest.skip(reason_for_no_fp8)
 fp8 = fp8_recipe is not None
 if fp8_params and not fp8:
 pytest.skip("FP8 needed for FP8 parameters.")
 if fp8_weight_caching and not fp8:
 pytest.skip("FP8 needed for FP8 parameters.")
 if fp8_recipe.float8_block_scaling() and not fp8_block_scaling_available:
 pytest.skip(reason_for_no_fp8_block_scaling)
 if fp8_recipe.mxfp8() and not mxfp8_available:
 pytest.skip(reason_for_no_mxfp8)

 if fp8_recipe.float8_block_scaling() and module == "linear_op":
 if fp8 and fp8_recipe.float8_block_scaling() and module == "linear_op":
 pytest.skip("Module not yet supported for float8_block_scaling with CUDA graphs")

 # Run model with different CUDA graph settings.
 model_config = model_configs[model_config]
 kwargs = dict(
Expand DownExpand Up@@ -336,7 +326,6 @@ def test_make_graphed_callables(
]


@pytest.mark.skipif(not fp8_available, reason=reason_for_no_fp8)
@pytest.mark.parametrize(
 "module",
 _test_make_graphed_callables_with_fp8_weight_caching_modules,
Expand All@@ -352,7 +341,6 @@ def test_make_graphed_callables_with_fp8_weight_caching(
 test_make_graphed_callables(
 module=module,
 dtype=torch.float32,
 fp8=True,
 fp8_params=fp8_params,
 fp8_recipe=fp8_recipe,
 fp8_weight_caching=True,
Expand Down

1 change: 0 additions & 1 deletion
tests/pytorch/test_fused_optimizer.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,7 +2,6 @@
#
# See LICENSE for license information.

from itertools import product
import copy
from contextlib import nullcontext

Expand Down

3 changes: 1 addition & 2 deletions
tests/pytorch/test_fused_router.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,8 +2,7 @@
#
# See LICENSE for license information.
import torch
import math
from typing import Optional, Dict
from typing import Optional
from transformer_engine.pytorch.router import (
 fused_topk_with_score_function,
 fused_compute_score_for_moe_aux_loss,
Expand Down

1 change: 0 additions & 1 deletion
tests/pytorch/test_hf_integration.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -7,7 +7,6 @@
from transformers.modeling_utils import PreTrainedModel

from transformer_engine.pytorch.transformer import TransformerLayer
from transformer_engine.pytorch.utils import is_bf16_compatible


class SimpleTEModel(PreTrainedModel):
Expand Down
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
var q = url.searchParams.get('q') || url.searchParams.get('p');
if (q) {
terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
}
}
if (terms.length === 0) return;
var style = document.createElement('style');
style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
document.head.appendChild(style);
function highlight(node) {
if (node.nodeType === 3) { // text node
var text = node.textContent;
var found = false;
terms.forEach(function(term) {
var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi');
if (regex.test(text)) {
found = true;
var frag = document.createDocumentFragment();
var parts = text.split(regex);
parts.forEach(function(part, i) {
if (i % 2 === 0) {
frag.appendChild(document.createTextNode(part));
} else {
var span = document.createElement('span');
span.className = 'userscript-highlight';
span.textContent = part;
frag.appendChild(span);
}
});
node.parentNode.replaceChild(frag, node);
}
});
} else if (node.nodeType === 1 && node.childNodes) { // element
var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];
if (!skipTags.includes(node.tagName)) {
Array.from(node.childNodes).forEach(highlight);
}
}
}
highlight(document.body);
// Re-highlight on dynamic content
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1 || node.nodeType === 3) highlight(node);
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
[PyTorch] Prune L0 unit test by ksivaman · Pull Request #1999 · NVIDIA/TransformerEngine · GitHub
Skip to content
[PyTorch] Prune L0 unit test#1999

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

 Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and
privacy statement. We’ll occasionally send you account related emails.

Already on GitHub?
Sign in
to your account

 Merged

ksivaman
merged 8 commits into

from

Jul 29, 2025
 Merged


[PyTorch] Prune L0 unit test
#1999
Show file tree
Hide file tree
 Changes from all commits
Commits

Show all changes


8 commits


Select commit
Hold shift + click to select a range
7c539c3

Add verbosity only for failing tests


ksivaman Jul 25, 2025
094c4ec

Prune some tests and preinit recipe


ksivaman Jul 26, 2025
979c2b8

Prune further tests


ksivaman Jul 27, 2025
ec9bde0

fix multitensor


ksivaman Jul 27, 2025
a853fff

Merge branch 'main' into prune_pytorch_L0_tests


ksivaman Jul 27, 2025
2615943

Minor fixes


ksivaman Jul 27, 2025
742a204

[pre-commit.ci] auto fixes from pre-commit.com hooks


pre-commit-ci[bot] Jul 27, 2025
7f6996f

fix a100


ksivaman Jul 27, 2025

File filter

Filter by extension
Filter by extension
Conversations

Failed to load comments. 
Loading
Jump to

Jump to file


Failed to load files. 
Loading
 Diff view

 Diff view


48 changes: 24 additions & 24 deletions
qa/L0_pytorch_unittest/test.sh

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -26,30 +26,30 @@ pip3 install pytest==8.2.1 || error_exit "Failed to install pytest"
pip3 install onnxruntime==1.20.1 || error_exit "Failed to install onnxruntime"
pip3 install onnxruntime_extensions==0.13.0 || error_exit "Failed to install onnxruntime_extensions"

python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_sanity.xml $TE_PATH/tests/pytorch/test_sanity.py || test_fail "test_sanity.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_recipe.xml $TE_PATH/tests/pytorch/test_recipe.py || test_fail "test_recipe.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_deferred_init.xml $TE_PATH/tests/pytorch/test_deferred_init.py || test_fail "test_deferred_init.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_numerics.xml $TE_PATH/tests/pytorch/test_numerics.py || test_fail "test_numerics.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_cuda_graphs.xml $TE_PATH/tests/pytorch/test_cuda_graphs.py || test_fail "test_cuda_graphs.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_jit.xml $TE_PATH/tests/pytorch/test_jit.py || test_fail "test_jit.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fused_rope.xml $TE_PATH/tests/pytorch/test_fused_rope.py || test_fail "test_fused_rope.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8tensor.xml $TE_PATH/tests/pytorch/test_float8tensor.py || test_fail "test_float8tensor.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8blockwisetensor.xml $TE_PATH/tests/pytorch/test_float8blockwisetensor.py || test_fail "test_float8blockwisetensor.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_scaling_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_scaling_exact.py || test_fail "test_float8_blockwise_scaling_exact.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_gemm_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_gemm_exact.py || test_fail "test_float8_blockwise_gemm_exact.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_gqa.xml $TE_PATH/tests/pytorch/test_gqa.py || test_fail "test_gqa.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fused_optimizer.xml $TE_PATH/tests/pytorch/test_fused_optimizer.py || test_fail "test_fused_optimizer.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_multi_tensor.xml $TE_PATH/tests/pytorch/test_multi_tensor.py || test_fail "test_multi_tensor.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_onnx_export.xml $TE_PATH/tests/pytorch/test_onnx_export.py || test_fail "test_onnx_export.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fusible_ops.xml $TE_PATH/tests/pytorch/test_fusible_ops.py || test_fail "test_fusible_ops.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_permutation.xml $TE_PATH/tests/pytorch/test_permutation.py || test_fail "test_permutation.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_parallel_cross_entropy.xml $TE_PATH/tests/pytorch/test_parallel_cross_entropy.py || test_fail "test_parallel_cross_entropy.py"
NVTE_FLASH_ATTN=0 python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_cpu_offloading.xml $TE_PATH/tests/pytorch/test_cpu_offloading.py || test_fail "test_cpu_offloading.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_attention.xml $TE_PATH/tests/pytorch/attention/test_attention.py || test_fail "test_attention.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_kv_cache.xml $TE_PATH/tests/pytorch/attention/test_kv_cache.py || test_fail "test_kv_cache.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_hf_integration.xml $TE_PATH/tests/pytorch/test_hf_integration.py || test_fail "test_hf_integration.py"
NVTE_TEST_CHECKPOINT_ARTIFACT_PATH=$TE_PATH/artifacts/tests/pytorch/test_checkpoint python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_checkpoint.xml $TE_PATH/tests/pytorch/test_checkpoint.py || test_fail "test_checkpoint.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fused_router.xml $TE_PATH/tests/pytorch/test_fused_router.py || test_fail "test_fused_router.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_sanity.xml $TE_PATH/tests/pytorch/test_sanity.py || test_fail "test_sanity.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_recipe.xml $TE_PATH/tests/pytorch/test_recipe.py || test_fail "test_recipe.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_deferred_init.xml $TE_PATH/tests/pytorch/test_deferred_init.py || test_fail "test_deferred_init.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_numerics.xml $TE_PATH/tests/pytorch/test_numerics.py || test_fail "test_numerics.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_cuda_graphs.xml $TE_PATH/tests/pytorch/test_cuda_graphs.py || test_fail "test_cuda_graphs.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_jit.xml $TE_PATH/tests/pytorch/test_jit.py || test_fail "test_jit.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_rope.xml $TE_PATH/tests/pytorch/test_fused_rope.py || test_fail "test_fused_rope.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8tensor.xml $TE_PATH/tests/pytorch/test_float8tensor.py || test_fail "test_float8tensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8blockwisetensor.xml $TE_PATH/tests/pytorch/test_float8blockwisetensor.py || test_fail "test_float8blockwisetensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_scaling_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_scaling_exact.py || test_fail "test_float8_blockwise_scaling_exact.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_gemm_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_gemm_exact.py || test_fail "test_float8_blockwise_gemm_exact.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_gqa.xml $TE_PATH/tests/pytorch/test_gqa.py || test_fail "test_gqa.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_optimizer.xml $TE_PATH/tests/pytorch/test_fused_optimizer.py || test_fail "test_fused_optimizer.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_multi_tensor.xml $TE_PATH/tests/pytorch/test_multi_tensor.py || test_fail "test_multi_tensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_onnx_export.xml $TE_PATH/tests/pytorch/test_onnx_export.py || test_fail "test_onnx_export.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fusible_ops.xml $TE_PATH/tests/pytorch/test_fusible_ops.py || test_fail "test_fusible_ops.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_permutation.xml $TE_PATH/tests/pytorch/test_permutation.py || test_fail "test_permutation.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_parallel_cross_entropy.xml $TE_PATH/tests/pytorch/test_parallel_cross_entropy.py || test_fail "test_parallel_cross_entropy.py"
NVTE_FLASH_ATTN=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_cpu_offloading.xml $TE_PATH/tests/pytorch/test_cpu_offloading.py || test_fail "test_cpu_offloading.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_attention.xml $TE_PATH/tests/pytorch/attention/test_attention.py || test_fail "test_attention.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_kv_cache.xml $TE_PATH/tests/pytorch/attention/test_kv_cache.py || test_fail "test_kv_cache.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_hf_integration.xml $TE_PATH/tests/pytorch/test_hf_integration.py || test_fail "test_hf_integration.py"
NVTE_TEST_CHECKPOINT_ARTIFACT_PATH=$TE_PATH/artifacts/tests/pytorch/test_checkpoint python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_checkpoint.xml $TE_PATH/tests/pytorch/test_checkpoint.py || test_fail "test_checkpoint.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_router.xml $TE_PATH/tests/pytorch/test_fused_router.py || test_fail "test_fused_router.py"

if [ "$RET" -ne 0 ]; then
 echo "Error in the following test cases:$FAILED_CASES"
Expand Down

5 changes: 1 addition & 4 deletions
tests/pytorch/attention/test_attention.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -6,7 +6,7 @@
import os
import sys
import pathlib
from typing import Any, Dict, List, Tuple, Union, Optional
from typing import Any, Dict, Tuple, Union

import pytest
import torch
Expand All@@ -20,10 +20,8 @@
from transformer_engine.pytorch.attention.multi_head_attention import MultiheadAttention
from transformer_engine.pytorch.attention.dot_product_attention.utils import (
 FlashAttentionUtils,
 get_attention_backend,
 check_set_window_size,
)
from transformer_engine.pytorch.attention import InferenceParams
from transformer_engine.pytorch.attention import RotaryPositionEmbedding
import transformer_engine.pytorch.cpp_extensions as ext
from transformer_engine.pytorch.cpp_extensions.fused_attn import (
Expand DownExpand Up@@ -54,7 +52,6 @@
 reset_rng_states,
 ModelConfig,
 dtype_tols,
 logging_context,
 get_available_attention_backends,
)

Expand Down

19 changes: 5 additions & 14 deletions
tests/pytorch/test_cpu_offloading.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -14,15 +14,12 @@
from utils import ModelConfig, get_available_attention_backends

# Check if FP8 is supported
fp8_available, reason_for_no_fp8 = FP8GlobalStateManager.is_fp8_available()
mxfp8_available, reason_for_no_mxfp8 = FP8GlobalStateManager.is_mxfp8_available()
fp8_available, _ = FP8GlobalStateManager.is_fp8_available()

fp8_recipes = [
 None, # non-fp8
 # recipe.MXFP8BlockScaling(), - scale inverse tensors offloading doest not work yet
 recipe.Float8CurrentScaling(),
 recipe.DelayedScaling(),
]
fp8_recipes = [None]
if fp8_available:
 fp8_recipes.append(recipe.Float8CurrentScaling())
 fp8_recipes.append(recipe.DelayedScaling())

model_config = {
 "small": ModelConfig(8, 512, 8, 64, num_layers=5, eps=0.1),
Expand DownExpand Up@@ -129,12 +126,6 @@ def test_cpu_offload(fp8_recipe, model_key) -> None:
 model_cls = model_types[model_key]
 models_list = [model_cls() for _ in range(NUM_LAYERS)]

 if fp8_recipe and not fp8_available:
 pytest.skip(reason_for_no_fp8)
 if fp8_recipe is not None:
 if fp8_recipe.mxfp8() and not mxfp8_available:
 pytest.skip(reason_for_no_mxfp8)

 if model_key in ["multihead_attention", "transformer_layer"]:
 available_backends, *_ = get_available_attention_backends(
 model_config["small"],
Expand Down

44 changes: 16 additions & 28 deletions
tests/pytorch/test_cuda_graphs.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,9 +2,7 @@
#
# See LICENSE for license information.

from dataclasses import dataclass
import itertools
from typing import Iterable, List, Tuple, Union
from typing import Iterable, List, Union
import pytest

import torch
Expand All@@ -26,11 +24,9 @@
from utils import ModelConfig, reset_rng_states

# Check if FP8 is supported.
fp8_available, reason_for_no_fp8 = FP8GlobalStateManager.is_fp8_available()
fp8_block_scaling_available, reason_for_no_fp8_block_scaling = (
 FP8GlobalStateManager.is_fp8_block_scaling_available()
)
mxfp8_available, reason_for_no_mxfp8 = FP8GlobalStateManager.is_mxfp8_available()
fp8_available, _ = FP8GlobalStateManager.is_fp8_available()
fp8_block_scaling_available, _ = FP8GlobalStateManager.is_fp8_block_scaling_available()
mxfp8_available, _ = FP8GlobalStateManager.is_mxfp8_available()

# Reset RNG states.
reset_rng_states()
Expand All@@ -39,12 +35,14 @@
 "small": ModelConfig(32, 2, 2, 32),
}

fp8_recipes = [
 recipe.DelayedScaling(),
 recipe.MXFP8BlockScaling(),
 recipe.Float8CurrentScaling(),
 recipe.Float8BlockScaling(),
]
fp8_recipes = []
if mxfp8_available:
 fp8_recipes.append(recipe.MXFP8BlockScaling())
if fp8_block_scaling_available:
 fp8_recipes.append(recipe.Float8BlockScaling())
if fp8_available:
 fp8_recipes.append(recipe.Float8CurrentScaling())
 fp8_recipes.append(recipe.DelayedScaling())

# Supported data types
dtypes: List[torch.dtype] = [torch.float32, torch.float16]
Expand DownExpand Up@@ -277,35 +275,27 @@ def _test_cuda_graphs(

@pytest.mark.parametrize("module", _test_cuda_graphs_modules)
@pytest.mark.parametrize("dtype", dtypes)
@pytest.mark.parametrize("fp8", (False, True))
@pytest.mark.parametrize("fp8_params", (False, True))
@pytest.mark.parametrize("fp8_recipe", fp8_recipes)
@pytest.mark.parametrize("fp8_recipe", fp8_recipes + [None])
def test_make_graphed_callables(
 *,
 module: str,
 model_config: str = "small",
 num_layers: int = 3,
 dtype: torch.dtype,
 fp8: bool,
 fp8_params: bool,
 fp8_recipe: recipe.Recipe,
 fp8_weight_caching: bool = False,
) -> None:

 # Skip invalid configurations.
 if fp8 and not fp8_available:
 pytest.skip(reason_for_no_fp8)
 fp8 = fp8_recipe is not None
 if fp8_params and not fp8:
 pytest.skip("FP8 needed for FP8 parameters.")
 if fp8_weight_caching and not fp8:
 pytest.skip("FP8 needed for FP8 parameters.")
 if fp8_recipe.float8_block_scaling() and not fp8_block_scaling_available:
 pytest.skip(reason_for_no_fp8_block_scaling)
 if fp8_recipe.mxfp8() and not mxfp8_available:
 pytest.skip(reason_for_no_mxfp8)

 if fp8_recipe.float8_block_scaling() and module == "linear_op":
 if fp8 and fp8_recipe.float8_block_scaling() and module == "linear_op":
 pytest.skip("Module not yet supported for float8_block_scaling with CUDA graphs")

 # Run model with different CUDA graph settings.
 model_config = model_configs[model_config]
 kwargs = dict(
Expand DownExpand Up@@ -336,7 +326,6 @@ def test_make_graphed_callables(
]


@pytest.mark.skipif(not fp8_available, reason=reason_for_no_fp8)
@pytest.mark.parametrize(
 "module",
 _test_make_graphed_callables_with_fp8_weight_caching_modules,
Expand All@@ -352,7 +341,6 @@ def test_make_graphed_callables_with_fp8_weight_caching(
 test_make_graphed_callables(
 module=module,
 dtype=torch.float32,
 fp8=True,
 fp8_params=fp8_params,
 fp8_recipe=fp8_recipe,
 fp8_weight_caching=True,
Expand Down

1 change: 0 additions & 1 deletion
tests/pytorch/test_fused_optimizer.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,7 +2,6 @@
#
# See LICENSE for license information.

from itertools import product
import copy
from contextlib import nullcontext

Expand Down

3 changes: 1 addition & 2 deletions
tests/pytorch/test_fused_router.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,8 +2,7 @@
#
# See LICENSE for license information.
import torch
import math
from typing import Optional, Dict
from typing import Optional
from transformer_engine.pytorch.router import (
 fused_topk_with_score_function,
 fused_compute_score_for_moe_aux_loss,
Expand Down

1 change: 0 additions & 1 deletion
tests/pytorch/test_hf_integration.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -7,7 +7,6 @@
from transformers.modeling_utils import PreTrainedModel

from transformer_engine.pytorch.transformer import TransformerLayer
from transformer_engine.pytorch.utils import is_bf16_compatible


class SimpleTEModel(PreTrainedModel):
Expand Down
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
[PyTorch] Prune L0 unit test by ksivaman · Pull Request #1999 · NVIDIA/TransformerEngine · GitHub
Skip to content
[PyTorch] Prune L0 unit test#1999

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

 Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and
privacy statement. We’ll occasionally send you account related emails.

Already on GitHub?
Sign in
to your account

 Merged

ksivaman
merged 8 commits into

from

Jul 29, 2025
 Merged


[PyTorch] Prune L0 unit test
#1999
Show file tree
Hide file tree
 Changes from all commits
Commits

Show all changes


8 commits


Select commit
Hold shift + click to select a range
7c539c3

Add verbosity only for failing tests


ksivaman Jul 25, 2025
094c4ec

Prune some tests and preinit recipe


ksivaman Jul 26, 2025
979c2b8

Prune further tests


ksivaman Jul 27, 2025
ec9bde0

fix multitensor


ksivaman Jul 27, 2025
a853fff

Merge branch 'main' into prune_pytorch_L0_tests


ksivaman Jul 27, 2025
2615943

Minor fixes


ksivaman Jul 27, 2025
742a204

[pre-commit.ci] auto fixes from pre-commit.com hooks


pre-commit-ci[bot] Jul 27, 2025
7f6996f

fix a100


ksivaman Jul 27, 2025

File filter

Filter by extension
Filter by extension
Conversations

Failed to load comments. 
Loading
Jump to

Jump to file


Failed to load files. 
Loading
 Diff view

 Diff view


48 changes: 24 additions & 24 deletions
qa/L0_pytorch_unittest/test.sh

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -26,30 +26,30 @@ pip3 install pytest==8.2.1 || error_exit "Failed to install pytest"
pip3 install onnxruntime==1.20.1 || error_exit "Failed to install onnxruntime"
pip3 install onnxruntime_extensions==0.13.0 || error_exit "Failed to install onnxruntime_extensions"

python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_sanity.xml $TE_PATH/tests/pytorch/test_sanity.py || test_fail "test_sanity.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_recipe.xml $TE_PATH/tests/pytorch/test_recipe.py || test_fail "test_recipe.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_deferred_init.xml $TE_PATH/tests/pytorch/test_deferred_init.py || test_fail "test_deferred_init.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_numerics.xml $TE_PATH/tests/pytorch/test_numerics.py || test_fail "test_numerics.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_cuda_graphs.xml $TE_PATH/tests/pytorch/test_cuda_graphs.py || test_fail "test_cuda_graphs.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_jit.xml $TE_PATH/tests/pytorch/test_jit.py || test_fail "test_jit.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fused_rope.xml $TE_PATH/tests/pytorch/test_fused_rope.py || test_fail "test_fused_rope.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8tensor.xml $TE_PATH/tests/pytorch/test_float8tensor.py || test_fail "test_float8tensor.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8blockwisetensor.xml $TE_PATH/tests/pytorch/test_float8blockwisetensor.py || test_fail "test_float8blockwisetensor.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_scaling_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_scaling_exact.py || test_fail "test_float8_blockwise_scaling_exact.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_gemm_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_gemm_exact.py || test_fail "test_float8_blockwise_gemm_exact.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_gqa.xml $TE_PATH/tests/pytorch/test_gqa.py || test_fail "test_gqa.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fused_optimizer.xml $TE_PATH/tests/pytorch/test_fused_optimizer.py || test_fail "test_fused_optimizer.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_multi_tensor.xml $TE_PATH/tests/pytorch/test_multi_tensor.py || test_fail "test_multi_tensor.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_onnx_export.xml $TE_PATH/tests/pytorch/test_onnx_export.py || test_fail "test_onnx_export.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fusible_ops.xml $TE_PATH/tests/pytorch/test_fusible_ops.py || test_fail "test_fusible_ops.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_permutation.xml $TE_PATH/tests/pytorch/test_permutation.py || test_fail "test_permutation.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_parallel_cross_entropy.xml $TE_PATH/tests/pytorch/test_parallel_cross_entropy.py || test_fail "test_parallel_cross_entropy.py"
NVTE_FLASH_ATTN=0 python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_cpu_offloading.xml $TE_PATH/tests/pytorch/test_cpu_offloading.py || test_fail "test_cpu_offloading.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_attention.xml $TE_PATH/tests/pytorch/attention/test_attention.py || test_fail "test_attention.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_kv_cache.xml $TE_PATH/tests/pytorch/attention/test_kv_cache.py || test_fail "test_kv_cache.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_hf_integration.xml $TE_PATH/tests/pytorch/test_hf_integration.py || test_fail "test_hf_integration.py"
NVTE_TEST_CHECKPOINT_ARTIFACT_PATH=$TE_PATH/artifacts/tests/pytorch/test_checkpoint python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_checkpoint.xml $TE_PATH/tests/pytorch/test_checkpoint.py || test_fail "test_checkpoint.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fused_router.xml $TE_PATH/tests/pytorch/test_fused_router.py || test_fail "test_fused_router.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_sanity.xml $TE_PATH/tests/pytorch/test_sanity.py || test_fail "test_sanity.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_recipe.xml $TE_PATH/tests/pytorch/test_recipe.py || test_fail "test_recipe.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_deferred_init.xml $TE_PATH/tests/pytorch/test_deferred_init.py || test_fail "test_deferred_init.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_numerics.xml $TE_PATH/tests/pytorch/test_numerics.py || test_fail "test_numerics.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_cuda_graphs.xml $TE_PATH/tests/pytorch/test_cuda_graphs.py || test_fail "test_cuda_graphs.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_jit.xml $TE_PATH/tests/pytorch/test_jit.py || test_fail "test_jit.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_rope.xml $TE_PATH/tests/pytorch/test_fused_rope.py || test_fail "test_fused_rope.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8tensor.xml $TE_PATH/tests/pytorch/test_float8tensor.py || test_fail "test_float8tensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8blockwisetensor.xml $TE_PATH/tests/pytorch/test_float8blockwisetensor.py || test_fail "test_float8blockwisetensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_scaling_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_scaling_exact.py || test_fail "test_float8_blockwise_scaling_exact.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_gemm_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_gemm_exact.py || test_fail "test_float8_blockwise_gemm_exact.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_gqa.xml $TE_PATH/tests/pytorch/test_gqa.py || test_fail "test_gqa.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_optimizer.xml $TE_PATH/tests/pytorch/test_fused_optimizer.py || test_fail "test_fused_optimizer.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_multi_tensor.xml $TE_PATH/tests/pytorch/test_multi_tensor.py || test_fail "test_multi_tensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_onnx_export.xml $TE_PATH/tests/pytorch/test_onnx_export.py || test_fail "test_onnx_export.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fusible_ops.xml $TE_PATH/tests/pytorch/test_fusible_ops.py || test_fail "test_fusible_ops.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_permutation.xml $TE_PATH/tests/pytorch/test_permutation.py || test_fail "test_permutation.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_parallel_cross_entropy.xml $TE_PATH/tests/pytorch/test_parallel_cross_entropy.py || test_fail "test_parallel_cross_entropy.py"
NVTE_FLASH_ATTN=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_cpu_offloading.xml $TE_PATH/tests/pytorch/test_cpu_offloading.py || test_fail "test_cpu_offloading.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_attention.xml $TE_PATH/tests/pytorch/attention/test_attention.py || test_fail "test_attention.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_kv_cache.xml $TE_PATH/tests/pytorch/attention/test_kv_cache.py || test_fail "test_kv_cache.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_hf_integration.xml $TE_PATH/tests/pytorch/test_hf_integration.py || test_fail "test_hf_integration.py"
NVTE_TEST_CHECKPOINT_ARTIFACT_PATH=$TE_PATH/artifacts/tests/pytorch/test_checkpoint python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_checkpoint.xml $TE_PATH/tests/pytorch/test_checkpoint.py || test_fail "test_checkpoint.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_router.xml $TE_PATH/tests/pytorch/test_fused_router.py || test_fail "test_fused_router.py"

if [ "$RET" -ne 0 ]; then
 echo "Error in the following test cases:$FAILED_CASES"
Expand Down

5 changes: 1 addition & 4 deletions
tests/pytorch/attention/test_attention.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -6,7 +6,7 @@
import os
import sys
import pathlib
from typing import Any, Dict, List, Tuple, Union, Optional
from typing import Any, Dict, Tuple, Union

import pytest
import torch
Expand All@@ -20,10 +20,8 @@
from transformer_engine.pytorch.attention.multi_head_attention import MultiheadAttention
from transformer_engine.pytorch.attention.dot_product_attention.utils import (
 FlashAttentionUtils,
 get_attention_backend,
 check_set_window_size,
)
from transformer_engine.pytorch.attention import InferenceParams
from transformer_engine.pytorch.attention import RotaryPositionEmbedding
import transformer_engine.pytorch.cpp_extensions as ext
from transformer_engine.pytorch.cpp_extensions.fused_attn import (
Expand DownExpand Up@@ -54,7 +52,6 @@
 reset_rng_states,
 ModelConfig,
 dtype_tols,
 logging_context,
 get_available_attention_backends,
)

Expand Down

19 changes: 5 additions & 14 deletions
tests/pytorch/test_cpu_offloading.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -14,15 +14,12 @@
from utils import ModelConfig, get_available_attention_backends

# Check if FP8 is supported
fp8_available, reason_for_no_fp8 = FP8GlobalStateManager.is_fp8_available()
mxfp8_available, reason_for_no_mxfp8 = FP8GlobalStateManager.is_mxfp8_available()
fp8_available, _ = FP8GlobalStateManager.is_fp8_available()

fp8_recipes = [
 None, # non-fp8
 # recipe.MXFP8BlockScaling(), - scale inverse tensors offloading doest not work yet
 recipe.Float8CurrentScaling(),
 recipe.DelayedScaling(),
]
fp8_recipes = [None]
if fp8_available:
 fp8_recipes.append(recipe.Float8CurrentScaling())
 fp8_recipes.append(recipe.DelayedScaling())

model_config = {
 "small": ModelConfig(8, 512, 8, 64, num_layers=5, eps=0.1),
Expand DownExpand Up@@ -129,12 +126,6 @@ def test_cpu_offload(fp8_recipe, model_key) -> None:
 model_cls = model_types[model_key]
 models_list = [model_cls() for _ in range(NUM_LAYERS)]

 if fp8_recipe and not fp8_available:
 pytest.skip(reason_for_no_fp8)
 if fp8_recipe is not None:
 if fp8_recipe.mxfp8() and not mxfp8_available:
 pytest.skip(reason_for_no_mxfp8)

 if model_key in ["multihead_attention", "transformer_layer"]:
 available_backends, *_ = get_available_attention_backends(
 model_config["small"],
Expand Down

44 changes: 16 additions & 28 deletions
tests/pytorch/test_cuda_graphs.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,9 +2,7 @@
#
# See LICENSE for license information.

from dataclasses import dataclass
import itertools
from typing import Iterable, List, Tuple, Union
from typing import Iterable, List, Union
import pytest

import torch
Expand All@@ -26,11 +24,9 @@
from utils import ModelConfig, reset_rng_states

# Check if FP8 is supported.
fp8_available, reason_for_no_fp8 = FP8GlobalStateManager.is_fp8_available()
fp8_block_scaling_available, reason_for_no_fp8_block_scaling = (
 FP8GlobalStateManager.is_fp8_block_scaling_available()
)
mxfp8_available, reason_for_no_mxfp8 = FP8GlobalStateManager.is_mxfp8_available()
fp8_available, _ = FP8GlobalStateManager.is_fp8_available()
fp8_block_scaling_available, _ = FP8GlobalStateManager.is_fp8_block_scaling_available()
mxfp8_available, _ = FP8GlobalStateManager.is_mxfp8_available()

# Reset RNG states.
reset_rng_states()
Expand All@@ -39,12 +35,14 @@
 "small": ModelConfig(32, 2, 2, 32),
}

fp8_recipes = [
 recipe.DelayedScaling(),
 recipe.MXFP8BlockScaling(),
 recipe.Float8CurrentScaling(),
 recipe.Float8BlockScaling(),
]
fp8_recipes = []
if mxfp8_available:
 fp8_recipes.append(recipe.MXFP8BlockScaling())
if fp8_block_scaling_available:
 fp8_recipes.append(recipe.Float8BlockScaling())
if fp8_available:
 fp8_recipes.append(recipe.Float8CurrentScaling())
 fp8_recipes.append(recipe.DelayedScaling())

# Supported data types
dtypes: List[torch.dtype] = [torch.float32, torch.float16]
Expand DownExpand Up@@ -277,35 +275,27 @@ def _test_cuda_graphs(

@pytest.mark.parametrize("module", _test_cuda_graphs_modules)
@pytest.mark.parametrize("dtype", dtypes)
@pytest.mark.parametrize("fp8", (False, True))
@pytest.mark.parametrize("fp8_params", (False, True))
@pytest.mark.parametrize("fp8_recipe", fp8_recipes)
@pytest.mark.parametrize("fp8_recipe", fp8_recipes + [None])
def test_make_graphed_callables(
 *,
 module: str,
 model_config: str = "small",
 num_layers: int = 3,
 dtype: torch.dtype,
 fp8: bool,
 fp8_params: bool,
 fp8_recipe: recipe.Recipe,
 fp8_weight_caching: bool = False,
) -> None:

 # Skip invalid configurations.
 if fp8 and not fp8_available:
 pytest.skip(reason_for_no_fp8)
 fp8 = fp8_recipe is not None
 if fp8_params and not fp8:
 pytest.skip("FP8 needed for FP8 parameters.")
 if fp8_weight_caching and not fp8:
 pytest.skip("FP8 needed for FP8 parameters.")
 if fp8_recipe.float8_block_scaling() and not fp8_block_scaling_available:
 pytest.skip(reason_for_no_fp8_block_scaling)
 if fp8_recipe.mxfp8() and not mxfp8_available:
 pytest.skip(reason_for_no_mxfp8)

 if fp8_recipe.float8_block_scaling() and module == "linear_op":
 if fp8 and fp8_recipe.float8_block_scaling() and module == "linear_op":
 pytest.skip("Module not yet supported for float8_block_scaling with CUDA graphs")

 # Run model with different CUDA graph settings.
 model_config = model_configs[model_config]
 kwargs = dict(
Expand DownExpand Up@@ -336,7 +326,6 @@ def test_make_graphed_callables(
]


@pytest.mark.skipif(not fp8_available, reason=reason_for_no_fp8)
@pytest.mark.parametrize(
 "module",
 _test_make_graphed_callables_with_fp8_weight_caching_modules,
Expand All@@ -352,7 +341,6 @@ def test_make_graphed_callables_with_fp8_weight_caching(
 test_make_graphed_callables(
 module=module,
 dtype=torch.float32,
 fp8=True,
 fp8_params=fp8_params,
 fp8_recipe=fp8_recipe,
 fp8_weight_caching=True,
Expand Down

1 change: 0 additions & 1 deletion
tests/pytorch/test_fused_optimizer.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,7 +2,6 @@
#
# See LICENSE for license information.

from itertools import product
import copy
from contextlib import nullcontext

Expand Down

3 changes: 1 addition & 2 deletions
tests/pytorch/test_fused_router.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,8 +2,7 @@
#
# See LICENSE for license information.
import torch
import math
from typing import Optional, Dict
from typing import Optional
from transformer_engine.pytorch.router import (
 fused_topk_with_score_function,
 fused_compute_score_for_moe_aux_loss,
Expand Down

1 change: 0 additions & 1 deletion
tests/pytorch/test_hf_integration.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -7,7 +7,6 @@
from transformers.modeling_utils import PreTrainedModel

from transformer_engine.pytorch.transformer import TransformerLayer
from transformer_engine.pytorch.utils import is_bf16_compatible


class SimpleTEModel(PreTrainedModel):
Expand Down
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
[PyTorch] Prune L0 unit test by ksivaman · Pull Request #1999 · NVIDIA/TransformerEngine · GitHub
Skip to content
[PyTorch] Prune L0 unit test#1999

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

 Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and
privacy statement. We’ll occasionally send you account related emails.

Already on GitHub?
Sign in
to your account

 Merged

ksivaman
merged 8 commits into

from

Jul 29, 2025
 Merged


[PyTorch] Prune L0 unit test
#1999
Show file tree
Hide file tree
 Changes from all commits
Commits

Show all changes


8 commits


Select commit
Hold shift + click to select a range
7c539c3

Add verbosity only for failing tests


ksivaman Jul 25, 2025
094c4ec

Prune some tests and preinit recipe


ksivaman Jul 26, 2025
979c2b8

Prune further tests


ksivaman Jul 27, 2025
ec9bde0

fix multitensor


ksivaman Jul 27, 2025
a853fff

Merge branch 'main' into prune_pytorch_L0_tests


ksivaman Jul 27, 2025
2615943

Minor fixes


ksivaman Jul 27, 2025
742a204

[pre-commit.ci] auto fixes from pre-commit.com hooks


pre-commit-ci[bot] Jul 27, 2025
7f6996f

fix a100


ksivaman Jul 27, 2025

File filter

Filter by extension
Filter by extension
Conversations

Failed to load comments. 
Loading
Jump to

Jump to file


Failed to load files. 
Loading
 Diff view

 Diff view


48 changes: 24 additions & 24 deletions
qa/L0_pytorch_unittest/test.sh

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -26,30 +26,30 @@ pip3 install pytest==8.2.1 || error_exit "Failed to install pytest"
pip3 install onnxruntime==1.20.1 || error_exit "Failed to install onnxruntime"
pip3 install onnxruntime_extensions==0.13.0 || error_exit "Failed to install onnxruntime_extensions"

python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_sanity.xml $TE_PATH/tests/pytorch/test_sanity.py || test_fail "test_sanity.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_recipe.xml $TE_PATH/tests/pytorch/test_recipe.py || test_fail "test_recipe.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_deferred_init.xml $TE_PATH/tests/pytorch/test_deferred_init.py || test_fail "test_deferred_init.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_numerics.xml $TE_PATH/tests/pytorch/test_numerics.py || test_fail "test_numerics.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_cuda_graphs.xml $TE_PATH/tests/pytorch/test_cuda_graphs.py || test_fail "test_cuda_graphs.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_jit.xml $TE_PATH/tests/pytorch/test_jit.py || test_fail "test_jit.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fused_rope.xml $TE_PATH/tests/pytorch/test_fused_rope.py || test_fail "test_fused_rope.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8tensor.xml $TE_PATH/tests/pytorch/test_float8tensor.py || test_fail "test_float8tensor.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8blockwisetensor.xml $TE_PATH/tests/pytorch/test_float8blockwisetensor.py || test_fail "test_float8blockwisetensor.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_scaling_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_scaling_exact.py || test_fail "test_float8_blockwise_scaling_exact.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_gemm_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_gemm_exact.py || test_fail "test_float8_blockwise_gemm_exact.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_gqa.xml $TE_PATH/tests/pytorch/test_gqa.py || test_fail "test_gqa.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fused_optimizer.xml $TE_PATH/tests/pytorch/test_fused_optimizer.py || test_fail "test_fused_optimizer.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_multi_tensor.xml $TE_PATH/tests/pytorch/test_multi_tensor.py || test_fail "test_multi_tensor.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_onnx_export.xml $TE_PATH/tests/pytorch/test_onnx_export.py || test_fail "test_onnx_export.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fusible_ops.xml $TE_PATH/tests/pytorch/test_fusible_ops.py || test_fail "test_fusible_ops.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_permutation.xml $TE_PATH/tests/pytorch/test_permutation.py || test_fail "test_permutation.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_parallel_cross_entropy.xml $TE_PATH/tests/pytorch/test_parallel_cross_entropy.py || test_fail "test_parallel_cross_entropy.py"
NVTE_FLASH_ATTN=0 python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_cpu_offloading.xml $TE_PATH/tests/pytorch/test_cpu_offloading.py || test_fail "test_cpu_offloading.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_attention.xml $TE_PATH/tests/pytorch/attention/test_attention.py || test_fail "test_attention.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_kv_cache.xml $TE_PATH/tests/pytorch/attention/test_kv_cache.py || test_fail "test_kv_cache.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_hf_integration.xml $TE_PATH/tests/pytorch/test_hf_integration.py || test_fail "test_hf_integration.py"
NVTE_TEST_CHECKPOINT_ARTIFACT_PATH=$TE_PATH/artifacts/tests/pytorch/test_checkpoint python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_checkpoint.xml $TE_PATH/tests/pytorch/test_checkpoint.py || test_fail "test_checkpoint.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fused_router.xml $TE_PATH/tests/pytorch/test_fused_router.py || test_fail "test_fused_router.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_sanity.xml $TE_PATH/tests/pytorch/test_sanity.py || test_fail "test_sanity.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_recipe.xml $TE_PATH/tests/pytorch/test_recipe.py || test_fail "test_recipe.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_deferred_init.xml $TE_PATH/tests/pytorch/test_deferred_init.py || test_fail "test_deferred_init.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_numerics.xml $TE_PATH/tests/pytorch/test_numerics.py || test_fail "test_numerics.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_cuda_graphs.xml $TE_PATH/tests/pytorch/test_cuda_graphs.py || test_fail "test_cuda_graphs.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_jit.xml $TE_PATH/tests/pytorch/test_jit.py || test_fail "test_jit.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_rope.xml $TE_PATH/tests/pytorch/test_fused_rope.py || test_fail "test_fused_rope.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8tensor.xml $TE_PATH/tests/pytorch/test_float8tensor.py || test_fail "test_float8tensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8blockwisetensor.xml $TE_PATH/tests/pytorch/test_float8blockwisetensor.py || test_fail "test_float8blockwisetensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_scaling_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_scaling_exact.py || test_fail "test_float8_blockwise_scaling_exact.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_gemm_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_gemm_exact.py || test_fail "test_float8_blockwise_gemm_exact.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_gqa.xml $TE_PATH/tests/pytorch/test_gqa.py || test_fail "test_gqa.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_optimizer.xml $TE_PATH/tests/pytorch/test_fused_optimizer.py || test_fail "test_fused_optimizer.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_multi_tensor.xml $TE_PATH/tests/pytorch/test_multi_tensor.py || test_fail "test_multi_tensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_onnx_export.xml $TE_PATH/tests/pytorch/test_onnx_export.py || test_fail "test_onnx_export.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fusible_ops.xml $TE_PATH/tests/pytorch/test_fusible_ops.py || test_fail "test_fusible_ops.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_permutation.xml $TE_PATH/tests/pytorch/test_permutation.py || test_fail "test_permutation.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_parallel_cross_entropy.xml $TE_PATH/tests/pytorch/test_parallel_cross_entropy.py || test_fail "test_parallel_cross_entropy.py"
NVTE_FLASH_ATTN=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_cpu_offloading.xml $TE_PATH/tests/pytorch/test_cpu_offloading.py || test_fail "test_cpu_offloading.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_attention.xml $TE_PATH/tests/pytorch/attention/test_attention.py || test_fail "test_attention.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_kv_cache.xml $TE_PATH/tests/pytorch/attention/test_kv_cache.py || test_fail "test_kv_cache.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_hf_integration.xml $TE_PATH/tests/pytorch/test_hf_integration.py || test_fail "test_hf_integration.py"
NVTE_TEST_CHECKPOINT_ARTIFACT_PATH=$TE_PATH/artifacts/tests/pytorch/test_checkpoint python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_checkpoint.xml $TE_PATH/tests/pytorch/test_checkpoint.py || test_fail "test_checkpoint.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_router.xml $TE_PATH/tests/pytorch/test_fused_router.py || test_fail "test_fused_router.py"

if [ "$RET" -ne 0 ]; then
 echo "Error in the following test cases:$FAILED_CASES"
Expand Down

5 changes: 1 addition & 4 deletions
tests/pytorch/attention/test_attention.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -6,7 +6,7 @@
import os
import sys
import pathlib
from typing import Any, Dict, List, Tuple, Union, Optional
from typing import Any, Dict, Tuple, Union

import pytest
import torch
Expand All@@ -20,10 +20,8 @@
from transformer_engine.pytorch.attention.multi_head_attention import MultiheadAttention
from transformer_engine.pytorch.attention.dot_product_attention.utils import (
 FlashAttentionUtils,
 get_attention_backend,
 check_set_window_size,
)
from transformer_engine.pytorch.attention import InferenceParams
from transformer_engine.pytorch.attention import RotaryPositionEmbedding
import transformer_engine.pytorch.cpp_extensions as ext
from transformer_engine.pytorch.cpp_extensions.fused_attn import (
Expand DownExpand Up@@ -54,7 +52,6 @@
 reset_rng_states,
 ModelConfig,
 dtype_tols,
 logging_context,
 get_available_attention_backends,
)

Expand Down

19 changes: 5 additions & 14 deletions
tests/pytorch/test_cpu_offloading.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -14,15 +14,12 @@
from utils import ModelConfig, get_available_attention_backends

# Check if FP8 is supported
fp8_available, reason_for_no_fp8 = FP8GlobalStateManager.is_fp8_available()
mxfp8_available, reason_for_no_mxfp8 = FP8GlobalStateManager.is_mxfp8_available()
fp8_available, _ = FP8GlobalStateManager.is_fp8_available()

fp8_recipes = [
 None, # non-fp8
 # recipe.MXFP8BlockScaling(), - scale inverse tensors offloading doest not work yet
 recipe.Float8CurrentScaling(),
 recipe.DelayedScaling(),
]
fp8_recipes = [None]
if fp8_available:
 fp8_recipes.append(recipe.Float8CurrentScaling())
 fp8_recipes.append(recipe.DelayedScaling())

model_config = {
 "small": ModelConfig(8, 512, 8, 64, num_layers=5, eps=0.1),
Expand DownExpand Up@@ -129,12 +126,6 @@ def test_cpu_offload(fp8_recipe, model_key) -> None:
 model_cls = model_types[model_key]
 models_list = [model_cls() for _ in range(NUM_LAYERS)]

 if fp8_recipe and not fp8_available:
 pytest.skip(reason_for_no_fp8)
 if fp8_recipe is not None:
 if fp8_recipe.mxfp8() and not mxfp8_available:
 pytest.skip(reason_for_no_mxfp8)

 if model_key in ["multihead_attention", "transformer_layer"]:
 available_backends, *_ = get_available_attention_backends(
 model_config["small"],
Expand Down

44 changes: 16 additions & 28 deletions
tests/pytorch/test_cuda_graphs.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,9 +2,7 @@
#
# See LICENSE for license information.

from dataclasses import dataclass
import itertools
from typing import Iterable, List, Tuple, Union
from typing import Iterable, List, Union
import pytest

import torch
Expand All@@ -26,11 +24,9 @@
from utils import ModelConfig, reset_rng_states

# Check if FP8 is supported.
fp8_available, reason_for_no_fp8 = FP8GlobalStateManager.is_fp8_available()
fp8_block_scaling_available, reason_for_no_fp8_block_scaling = (
 FP8GlobalStateManager.is_fp8_block_scaling_available()
)
mxfp8_available, reason_for_no_mxfp8 = FP8GlobalStateManager.is_mxfp8_available()
fp8_available, _ = FP8GlobalStateManager.is_fp8_available()
fp8_block_scaling_available, _ = FP8GlobalStateManager.is_fp8_block_scaling_available()
mxfp8_available, _ = FP8GlobalStateManager.is_mxfp8_available()

# Reset RNG states.
reset_rng_states()
Expand All@@ -39,12 +35,14 @@
 "small": ModelConfig(32, 2, 2, 32),
}

fp8_recipes = [
 recipe.DelayedScaling(),
 recipe.MXFP8BlockScaling(),
 recipe.Float8CurrentScaling(),
 recipe.Float8BlockScaling(),
]
fp8_recipes = []
if mxfp8_available:
 fp8_recipes.append(recipe.MXFP8BlockScaling())
if fp8_block_scaling_available:
 fp8_recipes.append(recipe.Float8BlockScaling())
if fp8_available:
 fp8_recipes.append(recipe.Float8CurrentScaling())
 fp8_recipes.append(recipe.DelayedScaling())

# Supported data types
dtypes: List[torch.dtype] = [torch.float32, torch.float16]
Expand DownExpand Up@@ -277,35 +275,27 @@ def _test_cuda_graphs(

@pytest.mark.parametrize("module", _test_cuda_graphs_modules)
@pytest.mark.parametrize("dtype", dtypes)
@pytest.mark.parametrize("fp8", (False, True))
@pytest.mark.parametrize("fp8_params", (False, True))
@pytest.mark.parametrize("fp8_recipe", fp8_recipes)
@pytest.mark.parametrize("fp8_recipe", fp8_recipes + [None])
def test_make_graphed_callables(
 *,
 module: str,
 model_config: str = "small",
 num_layers: int = 3,
 dtype: torch.dtype,
 fp8: bool,
 fp8_params: bool,
 fp8_recipe: recipe.Recipe,
 fp8_weight_caching: bool = False,
) -> None:

 # Skip invalid configurations.
 if fp8 and not fp8_available:
 pytest.skip(reason_for_no_fp8)
 fp8 = fp8_recipe is not None
 if fp8_params and not fp8:
 pytest.skip("FP8 needed for FP8 parameters.")
 if fp8_weight_caching and not fp8:
 pytest.skip("FP8 needed for FP8 parameters.")
 if fp8_recipe.float8_block_scaling() and not fp8_block_scaling_available:
 pytest.skip(reason_for_no_fp8_block_scaling)
 if fp8_recipe.mxfp8() and not mxfp8_available:
 pytest.skip(reason_for_no_mxfp8)

 if fp8_recipe.float8_block_scaling() and module == "linear_op":
 if fp8 and fp8_recipe.float8_block_scaling() and module == "linear_op":
 pytest.skip("Module not yet supported for float8_block_scaling with CUDA graphs")

 # Run model with different CUDA graph settings.
 model_config = model_configs[model_config]
 kwargs = dict(
Expand DownExpand Up@@ -336,7 +326,6 @@ def test_make_graphed_callables(
]


@pytest.mark.skipif(not fp8_available, reason=reason_for_no_fp8)
@pytest.mark.parametrize(
 "module",
 _test_make_graphed_callables_with_fp8_weight_caching_modules,
Expand All@@ -352,7 +341,6 @@ def test_make_graphed_callables_with_fp8_weight_caching(
 test_make_graphed_callables(
 module=module,
 dtype=torch.float32,
 fp8=True,
 fp8_params=fp8_params,
 fp8_recipe=fp8_recipe,
 fp8_weight_caching=True,
Expand Down

1 change: 0 additions & 1 deletion
tests/pytorch/test_fused_optimizer.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,7 +2,6 @@
#
# See LICENSE for license information.

from itertools import product
import copy
from contextlib import nullcontext

Expand Down

3 changes: 1 addition & 2 deletions
tests/pytorch/test_fused_router.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,8 +2,7 @@
#
# See LICENSE for license information.
import torch
import math
from typing import Optional, Dict
from typing import Optional
from transformer_engine.pytorch.router import (
 fused_topk_with_score_function,
 fused_compute_score_for_moe_aux_loss,
Expand Down

1 change: 0 additions & 1 deletion
tests/pytorch/test_hf_integration.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -7,7 +7,6 @@
from transformers.modeling_utils import PreTrainedModel

from transformer_engine.pytorch.transformer import TransformerLayer
from transformer_engine.pytorch.utils import is_bf16_compatible


class SimpleTEModel(PreTrainedModel):
Expand Down
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
[PyTorch] Prune L0 unit test by ksivaman · Pull Request #1999 · NVIDIA/TransformerEngine · GitHub
Skip to content
[PyTorch] Prune L0 unit test#1999

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

 Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and
privacy statement. We’ll occasionally send you account related emails.

Already on GitHub?
Sign in
to your account

 Merged

ksivaman
merged 8 commits into

from

Jul 29, 2025
 Merged


[PyTorch] Prune L0 unit test
#1999
Show file tree
Hide file tree
 Changes from all commits
Commits

Show all changes


8 commits


Select commit
Hold shift + click to select a range
7c539c3

Add verbosity only for failing tests


ksivaman Jul 25, 2025
094c4ec

Prune some tests and preinit recipe


ksivaman Jul 26, 2025
979c2b8

Prune further tests


ksivaman Jul 27, 2025
ec9bde0

fix multitensor


ksivaman Jul 27, 2025
a853fff

Merge branch 'main' into prune_pytorch_L0_tests


ksivaman Jul 27, 2025
2615943

Minor fixes


ksivaman Jul 27, 2025
742a204

[pre-commit.ci] auto fixes from pre-commit.com hooks


pre-commit-ci[bot] Jul 27, 2025
7f6996f

fix a100


ksivaman Jul 27, 2025

File filter

Filter by extension
Filter by extension
Conversations

Failed to load comments. 
Loading
Jump to

Jump to file


Failed to load files. 
Loading
 Diff view

 Diff view


48 changes: 24 additions & 24 deletions
qa/L0_pytorch_unittest/test.sh

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -26,30 +26,30 @@ pip3 install pytest==8.2.1 || error_exit "Failed to install pytest"
pip3 install onnxruntime==1.20.1 || error_exit "Failed to install onnxruntime"
pip3 install onnxruntime_extensions==0.13.0 || error_exit "Failed to install onnxruntime_extensions"

python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_sanity.xml $TE_PATH/tests/pytorch/test_sanity.py || test_fail "test_sanity.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_recipe.xml $TE_PATH/tests/pytorch/test_recipe.py || test_fail "test_recipe.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_deferred_init.xml $TE_PATH/tests/pytorch/test_deferred_init.py || test_fail "test_deferred_init.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_numerics.xml $TE_PATH/tests/pytorch/test_numerics.py || test_fail "test_numerics.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_cuda_graphs.xml $TE_PATH/tests/pytorch/test_cuda_graphs.py || test_fail "test_cuda_graphs.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_jit.xml $TE_PATH/tests/pytorch/test_jit.py || test_fail "test_jit.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fused_rope.xml $TE_PATH/tests/pytorch/test_fused_rope.py || test_fail "test_fused_rope.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8tensor.xml $TE_PATH/tests/pytorch/test_float8tensor.py || test_fail "test_float8tensor.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8blockwisetensor.xml $TE_PATH/tests/pytorch/test_float8blockwisetensor.py || test_fail "test_float8blockwisetensor.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_scaling_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_scaling_exact.py || test_fail "test_float8_blockwise_scaling_exact.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_gemm_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_gemm_exact.py || test_fail "test_float8_blockwise_gemm_exact.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_gqa.xml $TE_PATH/tests/pytorch/test_gqa.py || test_fail "test_gqa.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fused_optimizer.xml $TE_PATH/tests/pytorch/test_fused_optimizer.py || test_fail "test_fused_optimizer.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_multi_tensor.xml $TE_PATH/tests/pytorch/test_multi_tensor.py || test_fail "test_multi_tensor.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_onnx_export.xml $TE_PATH/tests/pytorch/test_onnx_export.py || test_fail "test_onnx_export.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fusible_ops.xml $TE_PATH/tests/pytorch/test_fusible_ops.py || test_fail "test_fusible_ops.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_permutation.xml $TE_PATH/tests/pytorch/test_permutation.py || test_fail "test_permutation.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_parallel_cross_entropy.xml $TE_PATH/tests/pytorch/test_parallel_cross_entropy.py || test_fail "test_parallel_cross_entropy.py"
NVTE_FLASH_ATTN=0 python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_cpu_offloading.xml $TE_PATH/tests/pytorch/test_cpu_offloading.py || test_fail "test_cpu_offloading.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_attention.xml $TE_PATH/tests/pytorch/attention/test_attention.py || test_fail "test_attention.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_kv_cache.xml $TE_PATH/tests/pytorch/attention/test_kv_cache.py || test_fail "test_kv_cache.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_hf_integration.xml $TE_PATH/tests/pytorch/test_hf_integration.py || test_fail "test_hf_integration.py"
NVTE_TEST_CHECKPOINT_ARTIFACT_PATH=$TE_PATH/artifacts/tests/pytorch/test_checkpoint python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_checkpoint.xml $TE_PATH/tests/pytorch/test_checkpoint.py || test_fail "test_checkpoint.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fused_router.xml $TE_PATH/tests/pytorch/test_fused_router.py || test_fail "test_fused_router.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_sanity.xml $TE_PATH/tests/pytorch/test_sanity.py || test_fail "test_sanity.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_recipe.xml $TE_PATH/tests/pytorch/test_recipe.py || test_fail "test_recipe.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_deferred_init.xml $TE_PATH/tests/pytorch/test_deferred_init.py || test_fail "test_deferred_init.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_numerics.xml $TE_PATH/tests/pytorch/test_numerics.py || test_fail "test_numerics.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_cuda_graphs.xml $TE_PATH/tests/pytorch/test_cuda_graphs.py || test_fail "test_cuda_graphs.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_jit.xml $TE_PATH/tests/pytorch/test_jit.py || test_fail "test_jit.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_rope.xml $TE_PATH/tests/pytorch/test_fused_rope.py || test_fail "test_fused_rope.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8tensor.xml $TE_PATH/tests/pytorch/test_float8tensor.py || test_fail "test_float8tensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8blockwisetensor.xml $TE_PATH/tests/pytorch/test_float8blockwisetensor.py || test_fail "test_float8blockwisetensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_scaling_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_scaling_exact.py || test_fail "test_float8_blockwise_scaling_exact.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_gemm_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_gemm_exact.py || test_fail "test_float8_blockwise_gemm_exact.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_gqa.xml $TE_PATH/tests/pytorch/test_gqa.py || test_fail "test_gqa.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_optimizer.xml $TE_PATH/tests/pytorch/test_fused_optimizer.py || test_fail "test_fused_optimizer.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_multi_tensor.xml $TE_PATH/tests/pytorch/test_multi_tensor.py || test_fail "test_multi_tensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_onnx_export.xml $TE_PATH/tests/pytorch/test_onnx_export.py || test_fail "test_onnx_export.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fusible_ops.xml $TE_PATH/tests/pytorch/test_fusible_ops.py || test_fail "test_fusible_ops.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_permutation.xml $TE_PATH/tests/pytorch/test_permutation.py || test_fail "test_permutation.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_parallel_cross_entropy.xml $TE_PATH/tests/pytorch/test_parallel_cross_entropy.py || test_fail "test_parallel_cross_entropy.py"
NVTE_FLASH_ATTN=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_cpu_offloading.xml $TE_PATH/tests/pytorch/test_cpu_offloading.py || test_fail "test_cpu_offloading.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_attention.xml $TE_PATH/tests/pytorch/attention/test_attention.py || test_fail "test_attention.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_kv_cache.xml $TE_PATH/tests/pytorch/attention/test_kv_cache.py || test_fail "test_kv_cache.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_hf_integration.xml $TE_PATH/tests/pytorch/test_hf_integration.py || test_fail "test_hf_integration.py"
NVTE_TEST_CHECKPOINT_ARTIFACT_PATH=$TE_PATH/artifacts/tests/pytorch/test_checkpoint python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_checkpoint.xml $TE_PATH/tests/pytorch/test_checkpoint.py || test_fail "test_checkpoint.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_router.xml $TE_PATH/tests/pytorch/test_fused_router.py || test_fail "test_fused_router.py"

if [ "$RET" -ne 0 ]; then
 echo "Error in the following test cases:$FAILED_CASES"
Expand Down

5 changes: 1 addition & 4 deletions
tests/pytorch/attention/test_attention.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -6,7 +6,7 @@
import os
import sys
import pathlib
from typing import Any, Dict, List, Tuple, Union, Optional
from typing import Any, Dict, Tuple, Union

import pytest
import torch
Expand All@@ -20,10 +20,8 @@
from transformer_engine.pytorch.attention.multi_head_attention import MultiheadAttention
from transformer_engine.pytorch.attention.dot_product_attention.utils import (
 FlashAttentionUtils,
 get_attention_backend,
 check_set_window_size,
)
from transformer_engine.pytorch.attention import InferenceParams
from transformer_engine.pytorch.attention import RotaryPositionEmbedding
import transformer_engine.pytorch.cpp_extensions as ext
from transformer_engine.pytorch.cpp_extensions.fused_attn import (
Expand DownExpand Up@@ -54,7 +52,6 @@
 reset_rng_states,
 ModelConfig,
 dtype_tols,
 logging_context,
 get_available_attention_backends,
)

Expand Down

19 changes: 5 additions & 14 deletions
tests/pytorch/test_cpu_offloading.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -14,15 +14,12 @@
from utils import ModelConfig, get_available_attention_backends

# Check if FP8 is supported
fp8_available, reason_for_no_fp8 = FP8GlobalStateManager.is_fp8_available()
mxfp8_available, reason_for_no_mxfp8 = FP8GlobalStateManager.is_mxfp8_available()
fp8_available, _ = FP8GlobalStateManager.is_fp8_available()

fp8_recipes = [
 None, # non-fp8
 # recipe.MXFP8BlockScaling(), - scale inverse tensors offloading doest not work yet
 recipe.Float8CurrentScaling(),
 recipe.DelayedScaling(),
]
fp8_recipes = [None]
if fp8_available:
 fp8_recipes.append(recipe.Float8CurrentScaling())
 fp8_recipes.append(recipe.DelayedScaling())

model_config = {
 "small": ModelConfig(8, 512, 8, 64, num_layers=5, eps=0.1),
Expand DownExpand Up@@ -129,12 +126,6 @@ def test_cpu_offload(fp8_recipe, model_key) -> None:
 model_cls = model_types[model_key]
 models_list = [model_cls() for _ in range(NUM_LAYERS)]

 if fp8_recipe and not fp8_available:
 pytest.skip(reason_for_no_fp8)
 if fp8_recipe is not None:
 if fp8_recipe.mxfp8() and not mxfp8_available:
 pytest.skip(reason_for_no_mxfp8)

 if model_key in ["multihead_attention", "transformer_layer"]:
 available_backends, *_ = get_available_attention_backends(
 model_config["small"],
Expand Down

44 changes: 16 additions & 28 deletions
tests/pytorch/test_cuda_graphs.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,9 +2,7 @@
#
# See LICENSE for license information.

from dataclasses import dataclass
import itertools
from typing import Iterable, List, Tuple, Union
from typing import Iterable, List, Union
import pytest

import torch
Expand All@@ -26,11 +24,9 @@
from utils import ModelConfig, reset_rng_states

# Check if FP8 is supported.
fp8_available, reason_for_no_fp8 = FP8GlobalStateManager.is_fp8_available()
fp8_block_scaling_available, reason_for_no_fp8_block_scaling = (
 FP8GlobalStateManager.is_fp8_block_scaling_available()
)
mxfp8_available, reason_for_no_mxfp8 = FP8GlobalStateManager.is_mxfp8_available()
fp8_available, _ = FP8GlobalStateManager.is_fp8_available()
fp8_block_scaling_available, _ = FP8GlobalStateManager.is_fp8_block_scaling_available()
mxfp8_available, _ = FP8GlobalStateManager.is_mxfp8_available()

# Reset RNG states.
reset_rng_states()
Expand All@@ -39,12 +35,14 @@
 "small": ModelConfig(32, 2, 2, 32),
}

fp8_recipes = [
 recipe.DelayedScaling(),
 recipe.MXFP8BlockScaling(),
 recipe.Float8CurrentScaling(),
 recipe.Float8BlockScaling(),
]
fp8_recipes = []
if mxfp8_available:
 fp8_recipes.append(recipe.MXFP8BlockScaling())
if fp8_block_scaling_available:
 fp8_recipes.append(recipe.Float8BlockScaling())
if fp8_available:
 fp8_recipes.append(recipe.Float8CurrentScaling())
 fp8_recipes.append(recipe.DelayedScaling())

# Supported data types
dtypes: List[torch.dtype] = [torch.float32, torch.float16]
Expand DownExpand Up@@ -277,35 +275,27 @@ def _test_cuda_graphs(

@pytest.mark.parametrize("module", _test_cuda_graphs_modules)
@pytest.mark.parametrize("dtype", dtypes)
@pytest.mark.parametrize("fp8", (False, True))
@pytest.mark.parametrize("fp8_params", (False, True))
@pytest.mark.parametrize("fp8_recipe", fp8_recipes)
@pytest.mark.parametrize("fp8_recipe", fp8_recipes + [None])
def test_make_graphed_callables(
 *,
 module: str,
 model_config: str = "small",
 num_layers: int = 3,
 dtype: torch.dtype,
 fp8: bool,
 fp8_params: bool,
 fp8_recipe: recipe.Recipe,
 fp8_weight_caching: bool = False,
) -> None:

 # Skip invalid configurations.
 if fp8 and not fp8_available:
 pytest.skip(reason_for_no_fp8)
 fp8 = fp8_recipe is not None
 if fp8_params and not fp8:
 pytest.skip("FP8 needed for FP8 parameters.")
 if fp8_weight_caching and not fp8:
 pytest.skip("FP8 needed for FP8 parameters.")
 if fp8_recipe.float8_block_scaling() and not fp8_block_scaling_available:
 pytest.skip(reason_for_no_fp8_block_scaling)
 if fp8_recipe.mxfp8() and not mxfp8_available:
 pytest.skip(reason_for_no_mxfp8)

 if fp8_recipe.float8_block_scaling() and module == "linear_op":
 if fp8 and fp8_recipe.float8_block_scaling() and module == "linear_op":
 pytest.skip("Module not yet supported for float8_block_scaling with CUDA graphs")

 # Run model with different CUDA graph settings.
 model_config = model_configs[model_config]
 kwargs = dict(
Expand DownExpand Up@@ -336,7 +326,6 @@ def test_make_graphed_callables(
]


@pytest.mark.skipif(not fp8_available, reason=reason_for_no_fp8)
@pytest.mark.parametrize(
 "module",
 _test_make_graphed_callables_with_fp8_weight_caching_modules,
Expand All@@ -352,7 +341,6 @@ def test_make_graphed_callables_with_fp8_weight_caching(
 test_make_graphed_callables(
 module=module,
 dtype=torch.float32,
 fp8=True,
 fp8_params=fp8_params,
 fp8_recipe=fp8_recipe,
 fp8_weight_caching=True,
Expand Down

1 change: 0 additions & 1 deletion
tests/pytorch/test_fused_optimizer.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,7 +2,6 @@
#
# See LICENSE for license information.

from itertools import product
import copy
from contextlib import nullcontext

Expand Down

3 changes: 1 addition & 2 deletions
tests/pytorch/test_fused_router.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,8 +2,7 @@
#
# See LICENSE for license information.
import torch
import math
from typing import Optional, Dict
from typing import Optional
from transformer_engine.pytorch.router import (
 fused_topk_with_score_function,
 fused_compute_score_for_moe_aux_loss,
Expand Down

1 change: 0 additions & 1 deletion
tests/pytorch/test_hf_integration.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -7,7 +7,6 @@
from transformers.modeling_utils import PreTrainedModel

from transformer_engine.pytorch.transformer import TransformerLayer
from transformer_engine.pytorch.utils import is_bf16_compatible


class SimpleTEModel(PreTrainedModel):
Expand Down
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
[PyTorch] Prune L0 unit test by ksivaman · Pull Request #1999 · NVIDIA/TransformerEngine · GitHub
Skip to content
[PyTorch] Prune L0 unit test#1999

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

 Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and
privacy statement. We’ll occasionally send you account related emails.

Already on GitHub?
Sign in
to your account

 Merged

ksivaman
merged 8 commits into

from

Jul 29, 2025
 Merged


[PyTorch] Prune L0 unit test
#1999
Show file tree
Hide file tree
 Changes from all commits
Commits

Show all changes


8 commits


Select commit
Hold shift + click to select a range
7c539c3

Add verbosity only for failing tests


ksivaman Jul 25, 2025
094c4ec

Prune some tests and preinit recipe


ksivaman Jul 26, 2025
979c2b8

Prune further tests


ksivaman Jul 27, 2025
ec9bde0

fix multitensor


ksivaman Jul 27, 2025
a853fff

Merge branch 'main' into prune_pytorch_L0_tests


ksivaman Jul 27, 2025
2615943

Minor fixes


ksivaman Jul 27, 2025
742a204

[pre-commit.ci] auto fixes from pre-commit.com hooks


pre-commit-ci[bot] Jul 27, 2025
7f6996f

fix a100


ksivaman Jul 27, 2025

File filter

Filter by extension
Filter by extension
Conversations

Failed to load comments. 
Loading
Jump to

Jump to file


Failed to load files. 
Loading
 Diff view

 Diff view


48 changes: 24 additions & 24 deletions
qa/L0_pytorch_unittest/test.sh

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -26,30 +26,30 @@ pip3 install pytest==8.2.1 || error_exit "Failed to install pytest"
pip3 install onnxruntime==1.20.1 || error_exit "Failed to install onnxruntime"
pip3 install onnxruntime_extensions==0.13.0 || error_exit "Failed to install onnxruntime_extensions"

python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_sanity.xml $TE_PATH/tests/pytorch/test_sanity.py || test_fail "test_sanity.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_recipe.xml $TE_PATH/tests/pytorch/test_recipe.py || test_fail "test_recipe.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_deferred_init.xml $TE_PATH/tests/pytorch/test_deferred_init.py || test_fail "test_deferred_init.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_numerics.xml $TE_PATH/tests/pytorch/test_numerics.py || test_fail "test_numerics.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_cuda_graphs.xml $TE_PATH/tests/pytorch/test_cuda_graphs.py || test_fail "test_cuda_graphs.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_jit.xml $TE_PATH/tests/pytorch/test_jit.py || test_fail "test_jit.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fused_rope.xml $TE_PATH/tests/pytorch/test_fused_rope.py || test_fail "test_fused_rope.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8tensor.xml $TE_PATH/tests/pytorch/test_float8tensor.py || test_fail "test_float8tensor.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8blockwisetensor.xml $TE_PATH/tests/pytorch/test_float8blockwisetensor.py || test_fail "test_float8blockwisetensor.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_scaling_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_scaling_exact.py || test_fail "test_float8_blockwise_scaling_exact.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_gemm_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_gemm_exact.py || test_fail "test_float8_blockwise_gemm_exact.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_gqa.xml $TE_PATH/tests/pytorch/test_gqa.py || test_fail "test_gqa.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fused_optimizer.xml $TE_PATH/tests/pytorch/test_fused_optimizer.py || test_fail "test_fused_optimizer.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_multi_tensor.xml $TE_PATH/tests/pytorch/test_multi_tensor.py || test_fail "test_multi_tensor.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_onnx_export.xml $TE_PATH/tests/pytorch/test_onnx_export.py || test_fail "test_onnx_export.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fusible_ops.xml $TE_PATH/tests/pytorch/test_fusible_ops.py || test_fail "test_fusible_ops.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_permutation.xml $TE_PATH/tests/pytorch/test_permutation.py || test_fail "test_permutation.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_parallel_cross_entropy.xml $TE_PATH/tests/pytorch/test_parallel_cross_entropy.py || test_fail "test_parallel_cross_entropy.py"
NVTE_FLASH_ATTN=0 python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_cpu_offloading.xml $TE_PATH/tests/pytorch/test_cpu_offloading.py || test_fail "test_cpu_offloading.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_attention.xml $TE_PATH/tests/pytorch/attention/test_attention.py || test_fail "test_attention.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_kv_cache.xml $TE_PATH/tests/pytorch/attention/test_kv_cache.py || test_fail "test_kv_cache.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_hf_integration.xml $TE_PATH/tests/pytorch/test_hf_integration.py || test_fail "test_hf_integration.py"
NVTE_TEST_CHECKPOINT_ARTIFACT_PATH=$TE_PATH/artifacts/tests/pytorch/test_checkpoint python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_checkpoint.xml $TE_PATH/tests/pytorch/test_checkpoint.py || test_fail "test_checkpoint.py"
python3 -m pytest -v -s --junitxml=$XML_LOG_DIR/pytest_test_fused_router.xml $TE_PATH/tests/pytorch/test_fused_router.py || test_fail "test_fused_router.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_sanity.xml $TE_PATH/tests/pytorch/test_sanity.py || test_fail "test_sanity.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_recipe.xml $TE_PATH/tests/pytorch/test_recipe.py || test_fail "test_recipe.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_deferred_init.xml $TE_PATH/tests/pytorch/test_deferred_init.py || test_fail "test_deferred_init.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_numerics.xml $TE_PATH/tests/pytorch/test_numerics.py || test_fail "test_numerics.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_cuda_graphs.xml $TE_PATH/tests/pytorch/test_cuda_graphs.py || test_fail "test_cuda_graphs.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_jit.xml $TE_PATH/tests/pytorch/test_jit.py || test_fail "test_jit.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_rope.xml $TE_PATH/tests/pytorch/test_fused_rope.py || test_fail "test_fused_rope.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8tensor.xml $TE_PATH/tests/pytorch/test_float8tensor.py || test_fail "test_float8tensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8blockwisetensor.xml $TE_PATH/tests/pytorch/test_float8blockwisetensor.py || test_fail "test_float8blockwisetensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_scaling_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_scaling_exact.py || test_fail "test_float8_blockwise_scaling_exact.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_gemm_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_gemm_exact.py || test_fail "test_float8_blockwise_gemm_exact.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_gqa.xml $TE_PATH/tests/pytorch/test_gqa.py || test_fail "test_gqa.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_optimizer.xml $TE_PATH/tests/pytorch/test_fused_optimizer.py || test_fail "test_fused_optimizer.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_multi_tensor.xml $TE_PATH/tests/pytorch/test_multi_tensor.py || test_fail "test_multi_tensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_onnx_export.xml $TE_PATH/tests/pytorch/test_onnx_export.py || test_fail "test_onnx_export.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fusible_ops.xml $TE_PATH/tests/pytorch/test_fusible_ops.py || test_fail "test_fusible_ops.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_permutation.xml $TE_PATH/tests/pytorch/test_permutation.py || test_fail "test_permutation.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_parallel_cross_entropy.xml $TE_PATH/tests/pytorch/test_parallel_cross_entropy.py || test_fail "test_parallel_cross_entropy.py"
NVTE_FLASH_ATTN=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_cpu_offloading.xml $TE_PATH/tests/pytorch/test_cpu_offloading.py || test_fail "test_cpu_offloading.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_attention.xml $TE_PATH/tests/pytorch/attention/test_attention.py || test_fail "test_attention.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_kv_cache.xml $TE_PATH/tests/pytorch/attention/test_kv_cache.py || test_fail "test_kv_cache.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_hf_integration.xml $TE_PATH/tests/pytorch/test_hf_integration.py || test_fail "test_hf_integration.py"
NVTE_TEST_CHECKPOINT_ARTIFACT_PATH=$TE_PATH/artifacts/tests/pytorch/test_checkpoint python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_checkpoint.xml $TE_PATH/tests/pytorch/test_checkpoint.py || test_fail "test_checkpoint.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_router.xml $TE_PATH/tests/pytorch/test_fused_router.py || test_fail "test_fused_router.py"

if [ "$RET" -ne 0 ]; then
 echo "Error in the following test cases:$FAILED_CASES"
Expand Down

5 changes: 1 addition & 4 deletions
tests/pytorch/attention/test_attention.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -6,7 +6,7 @@
import os
import sys
import pathlib
from typing import Any, Dict, List, Tuple, Union, Optional
from typing import Any, Dict, Tuple, Union

import pytest
import torch
Expand All@@ -20,10 +20,8 @@
from transformer_engine.pytorch.attention.multi_head_attention import MultiheadAttention
from transformer_engine.pytorch.attention.dot_product_attention.utils import (
 FlashAttentionUtils,
 get_attention_backend,
 check_set_window_size,
)
from transformer_engine.pytorch.attention import InferenceParams
from transformer_engine.pytorch.attention import RotaryPositionEmbedding
import transformer_engine.pytorch.cpp_extensions as ext
from transformer_engine.pytorch.cpp_extensions.fused_attn import (
Expand DownExpand Up@@ -54,7 +52,6 @@
 reset_rng_states,
 ModelConfig,
 dtype_tols,
 logging_context,
 get_available_attention_backends,
)

Expand Down

19 changes: 5 additions & 14 deletions
tests/pytorch/test_cpu_offloading.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -14,15 +14,12 @@
from utils import ModelConfig, get_available_attention_backends

# Check if FP8 is supported
fp8_available, reason_for_no_fp8 = FP8GlobalStateManager.is_fp8_available()
mxfp8_available, reason_for_no_mxfp8 = FP8GlobalStateManager.is_mxfp8_available()
fp8_available, _ = FP8GlobalStateManager.is_fp8_available()

fp8_recipes = [
 None, # non-fp8
 # recipe.MXFP8BlockScaling(), - scale inverse tensors offloading doest not work yet
 recipe.Float8CurrentScaling(),
 recipe.DelayedScaling(),
]
fp8_recipes = [None]
if fp8_available:
 fp8_recipes.append(recipe.Float8CurrentScaling())
 fp8_recipes.append(recipe.DelayedScaling())

model_config = {
 "small": ModelConfig(8, 512, 8, 64, num_layers=5, eps=0.1),
Expand DownExpand Up@@ -129,12 +126,6 @@ def test_cpu_offload(fp8_recipe, model_key) -> None:
 model_cls = model_types[model_key]
 models_list = [model_cls() for _ in range(NUM_LAYERS)]

 if fp8_recipe and not fp8_available:
 pytest.skip(reason_for_no_fp8)
 if fp8_recipe is not None:
 if fp8_recipe.mxfp8() and not mxfp8_available:
 pytest.skip(reason_for_no_mxfp8)

 if model_key in ["multihead_attention", "transformer_layer"]:
 available_backends, *_ = get_available_attention_backends(
 model_config["small"],
Expand Down

44 changes: 16 additions & 28 deletions
tests/pytorch/test_cuda_graphs.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,9 +2,7 @@
#
# See LICENSE for license information.

from dataclasses import dataclass
import itertools
from typing import Iterable, List, Tuple, Union
from typing import Iterable, List, Union
import pytest

import torch
Expand All@@ -26,11 +24,9 @@
from utils import ModelConfig, reset_rng_states

# Check if FP8 is supported.
fp8_available, reason_for_no_fp8 = FP8GlobalStateManager.is_fp8_available()
fp8_block_scaling_available, reason_for_no_fp8_block_scaling = (
 FP8GlobalStateManager.is_fp8_block_scaling_available()
)
mxfp8_available, reason_for_no_mxfp8 = FP8GlobalStateManager.is_mxfp8_available()
fp8_available, _ = FP8GlobalStateManager.is_fp8_available()
fp8_block_scaling_available, _ = FP8GlobalStateManager.is_fp8_block_scaling_available()
mxfp8_available, _ = FP8GlobalStateManager.is_mxfp8_available()

# Reset RNG states.
reset_rng_states()
Expand All@@ -39,12 +35,14 @@
 "small": ModelConfig(32, 2, 2, 32),
}

fp8_recipes = [
 recipe.DelayedScaling(),
 recipe.MXFP8BlockScaling(),
 recipe.Float8CurrentScaling(),
 recipe.Float8BlockScaling(),
]
fp8_recipes = []
if mxfp8_available:
 fp8_recipes.append(recipe.MXFP8BlockScaling())
if fp8_block_scaling_available:
 fp8_recipes.append(recipe.Float8BlockScaling())
if fp8_available:
 fp8_recipes.append(recipe.Float8CurrentScaling())
 fp8_recipes.append(recipe.DelayedScaling())

# Supported data types
dtypes: List[torch.dtype] = [torch.float32, torch.float16]
Expand DownExpand Up@@ -277,35 +275,27 @@ def _test_cuda_graphs(

@pytest.mark.parametrize("module", _test_cuda_graphs_modules)
@pytest.mark.parametrize("dtype", dtypes)
@pytest.mark.parametrize("fp8", (False, True))
@pytest.mark.parametrize("fp8_params", (False, True))
@pytest.mark.parametrize("fp8_recipe", fp8_recipes)
@pytest.mark.parametrize("fp8_recipe", fp8_recipes + [None])
def test_make_graphed_callables(
 *,
 module: str,
 model_config: str = "small",
 num_layers: int = 3,
 dtype: torch.dtype,
 fp8: bool,
 fp8_params: bool,
 fp8_recipe: recipe.Recipe,
 fp8_weight_caching: bool = False,
) -> None:

 # Skip invalid configurations.
 if fp8 and not fp8_available:
 pytest.skip(reason_for_no_fp8)
 fp8 = fp8_recipe is not None
 if fp8_params and not fp8:
 pytest.skip("FP8 needed for FP8 parameters.")
 if fp8_weight_caching and not fp8:
 pytest.skip("FP8 needed for FP8 parameters.")
 if fp8_recipe.float8_block_scaling() and not fp8_block_scaling_available:
 pytest.skip(reason_for_no_fp8_block_scaling)
 if fp8_recipe.mxfp8() and not mxfp8_available:
 pytest.skip(reason_for_no_mxfp8)

 if fp8_recipe.float8_block_scaling() and module == "linear_op":
 if fp8 and fp8_recipe.float8_block_scaling() and module == "linear_op":
 pytest.skip("Module not yet supported for float8_block_scaling with CUDA graphs")

 # Run model with different CUDA graph settings.
 model_config = model_configs[model_config]
 kwargs = dict(
Expand DownExpand Up@@ -336,7 +326,6 @@ def test_make_graphed_callables(
]


@pytest.mark.skipif(not fp8_available, reason=reason_for_no_fp8)
@pytest.mark.parametrize(
 "module",
 _test_make_graphed_callables_with_fp8_weight_caching_modules,
Expand All@@ -352,7 +341,6 @@ def test_make_graphed_callables_with_fp8_weight_caching(
 test_make_graphed_callables(
 module=module,
 dtype=torch.float32,
 fp8=True,
 fp8_params=fp8_params,
 fp8_recipe=fp8_recipe,
 fp8_weight_caching=True,
Expand Down

1 change: 0 additions & 1 deletion
tests/pytorch/test_fused_optimizer.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,7 +2,6 @@
#
# See LICENSE for license information.

from itertools import product
import copy
from contextlib import nullcontext

Expand Down

3 changes: 1 addition & 2 deletions
tests/pytorch/test_fused_router.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,8 +2,7 @@
#
# See LICENSE for license information.
import torch
import math
from typing import Optional, Dict
from typing import Optional
from transformer_engine.pytorch.router import (
 fused_topk_with_score_function,
 fused_compute_score_for_moe_aux_loss,
Expand Down

1 change: 0 additions & 1 deletion
tests/pytorch/test_hf_integration.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -7,7 +7,6 @@
from transformers.modeling_utils import PreTrainedModel

from transformer_engine.pytorch.transformer import TransformerLayer
from transformer_engine.pytorch.utils import is_bf16_compatible


class SimpleTEModel(PreTrainedModel):
Expand Down
Loading