[DO NOT MERGE UPSTREAM]#23

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

Closed
mjsML wants to merge 1 commit into from
Closed

[DO NOT MERGE UPSTREAM] #23

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
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
27 changes: 2 additions & 25 deletions docs/conf.py
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -31,31 +31,8 @@
project = u'Transformer Engine'
copyright = u'{}, NVIDIA CORPORATION & AFFILIATES. All rights reserved.'.format(copyright_year)
author = u'NVIDIA CORPORATION & AFFILIATES'

git_sha = os.getenv("GIT_SHA")

if not git_sha:
try:
git_sha = subprocess.check_output(["git", "log", "--pretty=format:'%h'", "-n1"]).decode('ascii').replace("'","").strip()
except:
git_sha = u'0000000'

git_sha = git_sha[:7] if len(git_sha) > 7 else git_sha

version = str(te_version + u"-" + git_sha)
release = te_version

# hack: version is used for html creation, so put the version picker
# link here as well:
option_on = " selected"
option_off = ""
release_opt = option_on
option_nr = 0
version = version + """<br/>
Version select: <select onChange="window.location.href = this.value" onFocus="this.selectedIndex = {0}">
<option value="https://docs.nvidia.com/deeplearning/transformer-engine/user-guide/index.html"{1}>Current release</option>
<option value="https://docs.nvidia.com/deeplearning/transformer-engine/archives/index.html">Older releases</option>
</select>""".format(option_nr, release_opt)
version = te_version
release = version

# -- General configuration ---------------------------------------------------
# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
Expand Down
10 changes: 10 additions & 0 deletions qa/L0_jax_python_unittest/test.sh
View file
Open in desktop
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,10 @@
# Copyright (c) 2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# See LICENSE for license information.

set -xe

: ${TE_PATH:=/opt/transformerengine}

pip install flax@git+https://github.com/google/flax#egg=flax
pytest -Wignore -v $TE_PATH/tests/jax
9 changes: 3 additions & 6 deletions qa/L0_lint/test.sh
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -13,9 +13,6 @@ cpplint --root transformer_engine/common/include --recursive transformer_engine/
echo "Checking C++ files"
cd $TE_PATH && \
cpplint --recursive --exclude=transformer_engine/common/include transformer_engine
if [ -z "${CPP_ONLY}" ]
then
echo "Checking Python files"
cd $TE_PATH && \
pylint --recursive=y transformer_engine
fi
echo "Checking Python files"
cd $TE_PATH && \
pylint --recursive=y --rcfile=./pylintrc transformer_engine --ignore transformer_engine/pytorch
15 changes: 6 additions & 9 deletions tests/cpp/operator/test_layernorm.cu
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -163,12 +163,12 @@ void performTest(const size_t N, const size_t H) {
float epsilon = 1e-5;
nvte_layernorm_fwd(input.data(), gamma.data(), beta.data(), scale.data(), epsilon,
z.data(), mu.data(), rsigma.data(), 0, prop.multiProcessorCount,
workspace.data(), barrier.data(), amax.data(), scale_inv.data());
workspace.data(), barrier.data(), amax.data(), scale_inv.data(), true);
workspace = Tensor(workspace.shape(), workspace.dtype());
barrier = Tensor(barrier.shape(), barrier.dtype());
nvte_layernorm_fwd(input.data(), gamma.data(), beta.data(), scale.data(), epsilon,
z.data(), mu.data(), rsigma.data(), 0, prop.multiProcessorCount,
workspace.data(), barrier.data(), amax.data(), scale_inv.data());
workspace.data(), barrier.data(), amax.data(), scale_inv.data(), true);

// Backward kernel
nvte_layernorm_bwd(dz.data(), input.data(),
Expand All@@ -195,7 +195,6 @@ void performTest(const size_t N, const size_t H) {
float ref_amax;
compute_ref_stats(input.cpu_dptr<InputType>(), ref_mu.get(),
ref_rsigma.get(), N, H, epsilon);
float ref_scale = isFp8Type(otype) ? *(scale.cpu_dptr<float>()) : 1.f;
compute_ref_output(input.cpu_dptr<InputType>(),
gamma.cpu_dptr<WeightType>(),
beta.cpu_dptr<WeightType>(),
Expand All@@ -204,7 +203,7 @@ void performTest(const size_t N, const size_t H) {
rsigma.cpu_dptr<float>(),
N, H,
&ref_amax,
ref_scale);
*(scale.cpu_dptr<float>()));
compute_ref_backward(dz.cpu_dptr<WeightType>(), input.cpu_dptr<InputType>(),
mu.cpu_dptr<float>(), rsigma.cpu_dptr<float>(),
gamma.cpu_dptr<WeightType>(),
Expand All@@ -216,11 +215,9 @@ void performTest(const size_t N, const size_t H) {
ASSERT_EQ(err, cudaSuccess) << cudaGetErrorString(err);

auto [atol_amax, rtol_amax] = getTolerances(DType::kFloat32);
if (isFp8Type(otype)) {
compareResults("amax", amax, &ref_amax, atol_amax, rtol_amax);
float ref_scale_inv = 1.f / (*scale.cpu_dptr<float>());
compareResults("scale_inv", scale_inv, &ref_scale_inv, atol_amax, rtol_amax);
}
compareResults("amax", amax, &ref_amax, atol_amax, rtol_amax);
float ref_scale_inv = 1.f / (*scale.cpu_dptr<float>());
compareResults("scale_inv", scale_inv, &ref_scale_inv, atol_amax, rtol_amax);

auto [atol_stats, rtol_stats] = getTolerances(DType::kFloat32);
rtol_stats = 5e-5;
Expand Down
4 changes: 0 additions & 4 deletions tests/cpp/test_common.cu
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -171,8 +171,4 @@ void fillUniform(const Tensor &t) {
t.from_cpu();
}

bool isFp8Type(DType type) {
return type == DType::kFloat8E4M3 || type == DType::kFloat8E5M2;
}

} // namespace test
2 changes: 0 additions & 2 deletions tests/cpp/test_common.h
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -156,8 +156,6 @@ const std::string &typeName(DType type);

extern std::vector<DType> all_fp_types;

bool isFp8Type(DType type);

} // namespace test

#define TRANSFORMER_ENGINE_TYPE_SWITCH_ALL(dtype, type, ...) \
Expand Down
Loading
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n 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;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
[DO NOT MERGE UPSTREAM]#23

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

 Closed

mjsML
wants to merge
1
commit into

from

 Closed


[DO NOT MERGE UPSTREAM]
#23
Show file tree
Hide file tree
 Changes from all commits
Commits

Show all changes


1 commit


Select commit


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


27 changes: 2 additions & 25 deletions
docs/conf.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -31,31 +31,8 @@
project = u'Transformer Engine'
copyright = u'{}, NVIDIA CORPORATION & AFFILIATES. All rights reserved.'.format(copyright_year)
author = u'NVIDIA CORPORATION & AFFILIATES'

git_sha = os.getenv("GIT_SHA")

if not git_sha:
 try:
 git_sha = subprocess.check_output(["git", "log", "--pretty=format:'%h'", "-n1"]).decode('ascii').replace("'","").strip()
 except:
 git_sha = u'0000000'

git_sha = git_sha[:7] if len(git_sha) > 7 else git_sha

version = str(te_version + u"-" + git_sha)
release = te_version

# hack: version is used for html creation, so put the version picker
# link here as well:
option_on = " selected"
option_off = ""
release_opt = option_on
option_nr = 0
version = version + """<br/>
Version select: <select onChange="window.location.href = this.value" onFocus="this.selectedIndex = {0}">
 <option value="https://docs.nvidia.com/deeplearning/transformer-engine/user-guide/index.html"{1}>Current release</option>
 <option value="https://docs.nvidia.com/deeplearning/transformer-engine/archives/index.html">Older releases</option>
</select>""".format(option_nr, release_opt)
version = te_version
release = version

# -- General configuration ---------------------------------------------------
# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
Expand Down

10 changes: 10 additions & 0 deletions
qa/L0_jax_python_unittest/test.sh

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,10 @@
# Copyright (c) 2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# See LICENSE for license information.

set -xe

: ${TE_PATH:=/opt/transformerengine}

pip install flax@git+https://github.com/google/flax#egg=flax
pytest -Wignore -v $TE_PATH/tests/jax

9 changes: 3 additions & 6 deletions
qa/L0_lint/test.sh

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -13,9 +13,6 @@ cpplint --root transformer_engine/common/include --recursive transformer_engine/
echo "Checking C++ files"
cd $TE_PATH && \
cpplint --recursive --exclude=transformer_engine/common/include transformer_engine
if [ -z "${CPP_ONLY}" ]
then
 echo "Checking Python files"
 cd $TE_PATH && \
 pylint --recursive=y transformer_engine
fi
echo "Checking Python files"
cd $TE_PATH && \
pylint --recursive=y --rcfile=./pylintrc transformer_engine --ignore transformer_engine/pytorch

15 changes: 6 additions & 9 deletions
tests/cpp/operator/test_layernorm.cu

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -163,12 +163,12 @@ void performTest(const size_t N, const size_t H) {
 float epsilon = 1e-5;
 nvte_layernorm_fwd(input.data(), gamma.data(), beta.data(), scale.data(), epsilon,
 z.data(), mu.data(), rsigma.data(), 0, prop.multiProcessorCount,
 workspace.data(), barrier.data(), amax.data(), scale_inv.data());
 workspace.data(), barrier.data(), amax.data(), scale_inv.data(), true);
 workspace = Tensor(workspace.shape(), workspace.dtype());
 barrier = Tensor(barrier.shape(), barrier.dtype());
 nvte_layernorm_fwd(input.data(), gamma.data(), beta.data(), scale.data(), epsilon,
 z.data(), mu.data(), rsigma.data(), 0, prop.multiProcessorCount,
 workspace.data(), barrier.data(), amax.data(), scale_inv.data());
 workspace.data(), barrier.data(), amax.data(), scale_inv.data(), true);

 // Backward kernel
 nvte_layernorm_bwd(dz.data(), input.data(),
Expand All@@ -195,7 +195,6 @@ void performTest(const size_t N, const size_t H) {
 float ref_amax;
 compute_ref_stats(input.cpu_dptr<InputType>(), ref_mu.get(),
 ref_rsigma.get(), N, H, epsilon);
 float ref_scale = isFp8Type(otype) ? *(scale.cpu_dptr<float>()) : 1.f;
 compute_ref_output(input.cpu_dptr<InputType>(),
 gamma.cpu_dptr<WeightType>(),
 beta.cpu_dptr<WeightType>(),
Expand All@@ -204,7 +203,7 @@ void performTest(const size_t N, const size_t H) {
 rsigma.cpu_dptr<float>(),
 N, H,
 &ref_amax,
ref_scale);
*(scale.cpu_dptr<float>()));
 compute_ref_backward(dz.cpu_dptr<WeightType>(), input.cpu_dptr<InputType>(),
 mu.cpu_dptr<float>(), rsigma.cpu_dptr<float>(),
 gamma.cpu_dptr<WeightType>(),
Expand All@@ -216,11 +215,9 @@ void performTest(const size_t N, const size_t H) {
 ASSERT_EQ(err, cudaSuccess) << cudaGetErrorString(err);

 auto [atol_amax, rtol_amax] = getTolerances(DType::kFloat32);
 if (isFp8Type(otype)) {
 compareResults("amax", amax, &ref_amax, atol_amax, rtol_amax);
 float ref_scale_inv = 1.f / (*scale.cpu_dptr<float>());
 compareResults("scale_inv", scale_inv, &ref_scale_inv, atol_amax, rtol_amax);
 }
 compareResults("amax", amax, &ref_amax, atol_amax, rtol_amax);
 float ref_scale_inv = 1.f / (*scale.cpu_dptr<float>());
 compareResults("scale_inv", scale_inv, &ref_scale_inv, atol_amax, rtol_amax);

 auto [atol_stats, rtol_stats] = getTolerances(DType::kFloat32);
 rtol_stats = 5e-5;
Expand Down

4 changes: 0 additions & 4 deletions
tests/cpp/test_common.cu

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -171,8 +171,4 @@ void fillUniform(const Tensor &t) {
 t.from_cpu();
}

bool isFp8Type(DType type) {
 return type == DType::kFloat8E4M3 || type == DType::kFloat8E5M2;
}

} // namespace test

2 changes: 0 additions & 2 deletions
tests/cpp/test_common.h

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -156,8 +156,6 @@ const std::string &typeName(DType type);

extern std::vector<DType> all_fp_types;

bool isFp8Type(DType type);

} // namespace test

#define TRANSFORMER_ENGINE_TYPE_SWITCH_ALL(dtype, type, ...) \
Expand Down
Loading

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

Skip to content
[DO NOT MERGE UPSTREAM]#23

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

 Closed

mjsML
wants to merge
1
commit into

from

 Closed


[DO NOT MERGE UPSTREAM]
#23
Show file tree
Hide file tree
 Changes from all commits
Commits

Show all changes


1 commit


Select commit


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


27 changes: 2 additions & 25 deletions
docs/conf.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -31,31 +31,8 @@
project = u'Transformer Engine'
copyright = u'{}, NVIDIA CORPORATION & AFFILIATES. All rights reserved.'.format(copyright_year)
author = u'NVIDIA CORPORATION & AFFILIATES'

git_sha = os.getenv("GIT_SHA")

if not git_sha:
 try:
 git_sha = subprocess.check_output(["git", "log", "--pretty=format:'%h'", "-n1"]).decode('ascii').replace("'","").strip()
 except:
 git_sha = u'0000000'

git_sha = git_sha[:7] if len(git_sha) > 7 else git_sha

version = str(te_version + u"-" + git_sha)
release = te_version

# hack: version is used for html creation, so put the version picker
# link here as well:
option_on = " selected"
option_off = ""
release_opt = option_on
option_nr = 0
version = version + """<br/>
Version select: <select onChange="window.location.href = this.value" onFocus="this.selectedIndex = {0}">
 <option value="https://docs.nvidia.com/deeplearning/transformer-engine/user-guide/index.html"{1}>Current release</option>
 <option value="https://docs.nvidia.com/deeplearning/transformer-engine/archives/index.html">Older releases</option>
</select>""".format(option_nr, release_opt)
version = te_version
release = version

# -- General configuration ---------------------------------------------------
# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
Expand Down

10 changes: 10 additions & 0 deletions
qa/L0_jax_python_unittest/test.sh

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,10 @@
# Copyright (c) 2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# See LICENSE for license information.

set -xe

: ${TE_PATH:=/opt/transformerengine}

pip install flax@git+https://github.com/google/flax#egg=flax
pytest -Wignore -v $TE_PATH/tests/jax

9 changes: 3 additions & 6 deletions
qa/L0_lint/test.sh

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -13,9 +13,6 @@ cpplint --root transformer_engine/common/include --recursive transformer_engine/
echo "Checking C++ files"
cd $TE_PATH && \
cpplint --recursive --exclude=transformer_engine/common/include transformer_engine
if [ -z "${CPP_ONLY}" ]
then
 echo "Checking Python files"
 cd $TE_PATH && \
 pylint --recursive=y transformer_engine
fi
echo "Checking Python files"
cd $TE_PATH && \
pylint --recursive=y --rcfile=./pylintrc transformer_engine --ignore transformer_engine/pytorch

15 changes: 6 additions & 9 deletions
tests/cpp/operator/test_layernorm.cu

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -163,12 +163,12 @@ void performTest(const size_t N, const size_t H) {
 float epsilon = 1e-5;
 nvte_layernorm_fwd(input.data(), gamma.data(), beta.data(), scale.data(), epsilon,
 z.data(), mu.data(), rsigma.data(), 0, prop.multiProcessorCount,
 workspace.data(), barrier.data(), amax.data(), scale_inv.data());
 workspace.data(), barrier.data(), amax.data(), scale_inv.data(), true);
 workspace = Tensor(workspace.shape(), workspace.dtype());
 barrier = Tensor(barrier.shape(), barrier.dtype());
 nvte_layernorm_fwd(input.data(), gamma.data(), beta.data(), scale.data(), epsilon,
 z.data(), mu.data(), rsigma.data(), 0, prop.multiProcessorCount,
 workspace.data(), barrier.data(), amax.data(), scale_inv.data());
 workspace.data(), barrier.data(), amax.data(), scale_inv.data(), true);

 // Backward kernel
 nvte_layernorm_bwd(dz.data(), input.data(),
Expand All@@ -195,7 +195,6 @@ void performTest(const size_t N, const size_t H) {
 float ref_amax;
 compute_ref_stats(input.cpu_dptr<InputType>(), ref_mu.get(),
 ref_rsigma.get(), N, H, epsilon);
 float ref_scale = isFp8Type(otype) ? *(scale.cpu_dptr<float>()) : 1.f;
 compute_ref_output(input.cpu_dptr<InputType>(),
 gamma.cpu_dptr<WeightType>(),
 beta.cpu_dptr<WeightType>(),
Expand All@@ -204,7 +203,7 @@ void performTest(const size_t N, const size_t H) {
 rsigma.cpu_dptr<float>(),
 N, H,
 &ref_amax,
ref_scale);
*(scale.cpu_dptr<float>()));
 compute_ref_backward(dz.cpu_dptr<WeightType>(), input.cpu_dptr<InputType>(),
 mu.cpu_dptr<float>(), rsigma.cpu_dptr<float>(),
 gamma.cpu_dptr<WeightType>(),
Expand All@@ -216,11 +215,9 @@ void performTest(const size_t N, const size_t H) {
 ASSERT_EQ(err, cudaSuccess) << cudaGetErrorString(err);

 auto [atol_amax, rtol_amax] = getTolerances(DType::kFloat32);
 if (isFp8Type(otype)) {
 compareResults("amax", amax, &ref_amax, atol_amax, rtol_amax);
 float ref_scale_inv = 1.f / (*scale.cpu_dptr<float>());
 compareResults("scale_inv", scale_inv, &ref_scale_inv, atol_amax, rtol_amax);
 }
 compareResults("amax", amax, &ref_amax, atol_amax, rtol_amax);
 float ref_scale_inv = 1.f / (*scale.cpu_dptr<float>());
 compareResults("scale_inv", scale_inv, &ref_scale_inv, atol_amax, rtol_amax);

 auto [atol_stats, rtol_stats] = getTolerances(DType::kFloat32);
 rtol_stats = 5e-5;
Expand Down

4 changes: 0 additions & 4 deletions
tests/cpp/test_common.cu

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -171,8 +171,4 @@ void fillUniform(const Tensor &t) {
 t.from_cpu();
}

bool isFp8Type(DType type) {
 return type == DType::kFloat8E4M3 || type == DType::kFloat8E5M2;
}

} // namespace test

2 changes: 0 additions & 2 deletions
tests/cpp/test_common.h

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -156,8 +156,6 @@ const std::string &typeName(DType type);

extern std::vector<DType> all_fp_types;

bool isFp8Type(DType type);

} // namespace test

#define TRANSFORMER_ENGINE_TYPE_SWITCH_ALL(dtype, type, ...) \
Expand Down
Loading

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

Skip to content
[DO NOT MERGE UPSTREAM]#23

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

 Closed

mjsML
wants to merge
1
commit into

from

 Closed


[DO NOT MERGE UPSTREAM]
#23
Show file tree
Hide file tree
 Changes from all commits
Commits

Show all changes


1 commit


Select commit


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


27 changes: 2 additions & 25 deletions
docs/conf.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -31,31 +31,8 @@
project = u'Transformer Engine'
copyright = u'{}, NVIDIA CORPORATION & AFFILIATES. All rights reserved.'.format(copyright_year)
author = u'NVIDIA CORPORATION & AFFILIATES'

git_sha = os.getenv("GIT_SHA")

if not git_sha:
 try:
 git_sha = subprocess.check_output(["git", "log", "--pretty=format:'%h'", "-n1"]).decode('ascii').replace("'","").strip()
 except:
 git_sha = u'0000000'

git_sha = git_sha[:7] if len(git_sha) > 7 else git_sha

version = str(te_version + u"-" + git_sha)
release = te_version

# hack: version is used for html creation, so put the version picker
# link here as well:
option_on = " selected"
option_off = ""
release_opt = option_on
option_nr = 0
version = version + """<br/>
Version select: <select onChange="window.location.href = this.value" onFocus="this.selectedIndex = {0}">
 <option value="https://docs.nvidia.com/deeplearning/transformer-engine/user-guide/index.html"{1}>Current release</option>
 <option value="https://docs.nvidia.com/deeplearning/transformer-engine/archives/index.html">Older releases</option>
</select>""".format(option_nr, release_opt)
version = te_version
release = version

# -- General configuration ---------------------------------------------------
# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
Expand Down

10 changes: 10 additions & 0 deletions
qa/L0_jax_python_unittest/test.sh

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,10 @@
# Copyright (c) 2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# See LICENSE for license information.

set -xe

: ${TE_PATH:=/opt/transformerengine}

pip install flax@git+https://github.com/google/flax#egg=flax
pytest -Wignore -v $TE_PATH/tests/jax

9 changes: 3 additions & 6 deletions
qa/L0_lint/test.sh

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -13,9 +13,6 @@ cpplint --root transformer_engine/common/include --recursive transformer_engine/
echo "Checking C++ files"
cd $TE_PATH && \
cpplint --recursive --exclude=transformer_engine/common/include transformer_engine
if [ -z "${CPP_ONLY}" ]
then
 echo "Checking Python files"
 cd $TE_PATH && \
 pylint --recursive=y transformer_engine
fi
echo "Checking Python files"
cd $TE_PATH && \
pylint --recursive=y --rcfile=./pylintrc transformer_engine --ignore transformer_engine/pytorch

15 changes: 6 additions & 9 deletions
tests/cpp/operator/test_layernorm.cu

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -163,12 +163,12 @@ void performTest(const size_t N, const size_t H) {
 float epsilon = 1e-5;
 nvte_layernorm_fwd(input.data(), gamma.data(), beta.data(), scale.data(), epsilon,
 z.data(), mu.data(), rsigma.data(), 0, prop.multiProcessorCount,
 workspace.data(), barrier.data(), amax.data(), scale_inv.data());
 workspace.data(), barrier.data(), amax.data(), scale_inv.data(), true);
 workspace = Tensor(workspace.shape(), workspace.dtype());
 barrier = Tensor(barrier.shape(), barrier.dtype());
 nvte_layernorm_fwd(input.data(), gamma.data(), beta.data(), scale.data(), epsilon,
 z.data(), mu.data(), rsigma.data(), 0, prop.multiProcessorCount,
 workspace.data(), barrier.data(), amax.data(), scale_inv.data());
 workspace.data(), barrier.data(), amax.data(), scale_inv.data(), true);

 // Backward kernel
 nvte_layernorm_bwd(dz.data(), input.data(),
Expand All@@ -195,7 +195,6 @@ void performTest(const size_t N, const size_t H) {
 float ref_amax;
 compute_ref_stats(input.cpu_dptr<InputType>(), ref_mu.get(),
 ref_rsigma.get(), N, H, epsilon);
 float ref_scale = isFp8Type(otype) ? *(scale.cpu_dptr<float>()) : 1.f;
 compute_ref_output(input.cpu_dptr<InputType>(),
 gamma.cpu_dptr<WeightType>(),
 beta.cpu_dptr<WeightType>(),
Expand All@@ -204,7 +203,7 @@ void performTest(const size_t N, const size_t H) {
 rsigma.cpu_dptr<float>(),
 N, H,
 &ref_amax,
ref_scale);
*(scale.cpu_dptr<float>()));
 compute_ref_backward(dz.cpu_dptr<WeightType>(), input.cpu_dptr<InputType>(),
 mu.cpu_dptr<float>(), rsigma.cpu_dptr<float>(),
 gamma.cpu_dptr<WeightType>(),
Expand All@@ -216,11 +215,9 @@ void performTest(const size_t N, const size_t H) {
 ASSERT_EQ(err, cudaSuccess) << cudaGetErrorString(err);

 auto [atol_amax, rtol_amax] = getTolerances(DType::kFloat32);
 if (isFp8Type(otype)) {
 compareResults("amax", amax, &ref_amax, atol_amax, rtol_amax);
 float ref_scale_inv = 1.f / (*scale.cpu_dptr<float>());
 compareResults("scale_inv", scale_inv, &ref_scale_inv, atol_amax, rtol_amax);
 }
 compareResults("amax", amax, &ref_amax, atol_amax, rtol_amax);
 float ref_scale_inv = 1.f / (*scale.cpu_dptr<float>());
 compareResults("scale_inv", scale_inv, &ref_scale_inv, atol_amax, rtol_amax);

 auto [atol_stats, rtol_stats] = getTolerances(DType::kFloat32);
 rtol_stats = 5e-5;
Expand Down

4 changes: 0 additions & 4 deletions
tests/cpp/test_common.cu

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -171,8 +171,4 @@ void fillUniform(const Tensor &t) {
 t.from_cpu();
}

bool isFp8Type(DType type) {
 return type == DType::kFloat8E4M3 || type == DType::kFloat8E5M2;
}

} // namespace test

2 changes: 0 additions & 2 deletions
tests/cpp/test_common.h

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -156,8 +156,6 @@ const std::string &typeName(DType type);

extern std::vector<DType> all_fp_types;

bool isFp8Type(DType type);

} // namespace test

#define TRANSFORMER_ENGINE_TYPE_SWITCH_ALL(dtype, type, ...) \
Expand Down
Loading

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

Skip to content
[DO NOT MERGE UPSTREAM]#23

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

 Closed

mjsML
wants to merge
1
commit into

from

 Closed


[DO NOT MERGE UPSTREAM]
#23
Show file tree
Hide file tree
 Changes from all commits
Commits

Show all changes


1 commit


Select commit


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


27 changes: 2 additions & 25 deletions
docs/conf.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -31,31 +31,8 @@
project = u'Transformer Engine'
copyright = u'{}, NVIDIA CORPORATION & AFFILIATES. All rights reserved.'.format(copyright_year)
author = u'NVIDIA CORPORATION & AFFILIATES'

git_sha = os.getenv("GIT_SHA")

if not git_sha:
 try:
 git_sha = subprocess.check_output(["git", "log", "--pretty=format:'%h'", "-n1"]).decode('ascii').replace("'","").strip()
 except:
 git_sha = u'0000000'

git_sha = git_sha[:7] if len(git_sha) > 7 else git_sha

version = str(te_version + u"-" + git_sha)
release = te_version

# hack: version is used for html creation, so put the version picker
# link here as well:
option_on = " selected"
option_off = ""
release_opt = option_on
option_nr = 0
version = version + """<br/>
Version select: <select onChange="window.location.href = this.value" onFocus="this.selectedIndex = {0}">
 <option value="https://docs.nvidia.com/deeplearning/transformer-engine/user-guide/index.html"{1}>Current release</option>
 <option value="https://docs.nvidia.com/deeplearning/transformer-engine/archives/index.html">Older releases</option>
</select>""".format(option_nr, release_opt)
version = te_version
release = version

# -- General configuration ---------------------------------------------------
# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
Expand Down

10 changes: 10 additions & 0 deletions
qa/L0_jax_python_unittest/test.sh

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,10 @@
# Copyright (c) 2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# See LICENSE for license information.

set -xe

: ${TE_PATH:=/opt/transformerengine}

pip install flax@git+https://github.com/google/flax#egg=flax
pytest -Wignore -v $TE_PATH/tests/jax

9 changes: 3 additions & 6 deletions
qa/L0_lint/test.sh

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -13,9 +13,6 @@ cpplint --root transformer_engine/common/include --recursive transformer_engine/
echo "Checking C++ files"
cd $TE_PATH && \
cpplint --recursive --exclude=transformer_engine/common/include transformer_engine
if [ -z "${CPP_ONLY}" ]
then
 echo "Checking Python files"
 cd $TE_PATH && \
 pylint --recursive=y transformer_engine
fi
echo "Checking Python files"
cd $TE_PATH && \
pylint --recursive=y --rcfile=./pylintrc transformer_engine --ignore transformer_engine/pytorch

15 changes: 6 additions & 9 deletions
tests/cpp/operator/test_layernorm.cu

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -163,12 +163,12 @@ void performTest(const size_t N, const size_t H) {
 float epsilon = 1e-5;
 nvte_layernorm_fwd(input.data(), gamma.data(), beta.data(), scale.data(), epsilon,
 z.data(), mu.data(), rsigma.data(), 0, prop.multiProcessorCount,
 workspace.data(), barrier.data(), amax.data(), scale_inv.data());
 workspace.data(), barrier.data(), amax.data(), scale_inv.data(), true);
 workspace = Tensor(workspace.shape(), workspace.dtype());
 barrier = Tensor(barrier.shape(), barrier.dtype());
 nvte_layernorm_fwd(input.data(), gamma.data(), beta.data(), scale.data(), epsilon,
 z.data(), mu.data(), rsigma.data(), 0, prop.multiProcessorCount,
 workspace.data(), barrier.data(), amax.data(), scale_inv.data());
 workspace.data(), barrier.data(), amax.data(), scale_inv.data(), true);

 // Backward kernel
 nvte_layernorm_bwd(dz.data(), input.data(),
Expand All@@ -195,7 +195,6 @@ void performTest(const size_t N, const size_t H) {
 float ref_amax;
 compute_ref_stats(input.cpu_dptr<InputType>(), ref_mu.get(),
 ref_rsigma.get(), N, H, epsilon);
 float ref_scale = isFp8Type(otype) ? *(scale.cpu_dptr<float>()) : 1.f;
 compute_ref_output(input.cpu_dptr<InputType>(),
 gamma.cpu_dptr<WeightType>(),
 beta.cpu_dptr<WeightType>(),
Expand All@@ -204,7 +203,7 @@ void performTest(const size_t N, const size_t H) {
 rsigma.cpu_dptr<float>(),
 N, H,
 &ref_amax,
ref_scale);
*(scale.cpu_dptr<float>()));
 compute_ref_backward(dz.cpu_dptr<WeightType>(), input.cpu_dptr<InputType>(),
 mu.cpu_dptr<float>(), rsigma.cpu_dptr<float>(),
 gamma.cpu_dptr<WeightType>(),
Expand All@@ -216,11 +215,9 @@ void performTest(const size_t N, const size_t H) {
 ASSERT_EQ(err, cudaSuccess) << cudaGetErrorString(err);

 auto [atol_amax, rtol_amax] = getTolerances(DType::kFloat32);
 if (isFp8Type(otype)) {
 compareResults("amax", amax, &ref_amax, atol_amax, rtol_amax);
 float ref_scale_inv = 1.f / (*scale.cpu_dptr<float>());
 compareResults("scale_inv", scale_inv, &ref_scale_inv, atol_amax, rtol_amax);
 }
 compareResults("amax", amax, &ref_amax, atol_amax, rtol_amax);
 float ref_scale_inv = 1.f / (*scale.cpu_dptr<float>());
 compareResults("scale_inv", scale_inv, &ref_scale_inv, atol_amax, rtol_amax);

 auto [atol_stats, rtol_stats] = getTolerances(DType::kFloat32);
 rtol_stats = 5e-5;
Expand Down

4 changes: 0 additions & 4 deletions
tests/cpp/test_common.cu

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -171,8 +171,4 @@ void fillUniform(const Tensor &t) {
 t.from_cpu();
}

bool isFp8Type(DType type) {
 return type == DType::kFloat8E4M3 || type == DType::kFloat8E5M2;
}

} // namespace test

2 changes: 0 additions & 2 deletions
tests/cpp/test_common.h

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -156,8 +156,6 @@ const std::string &typeName(DType type);

extern std::vector<DType> all_fp_types;

bool isFp8Type(DType type);

} // namespace test

#define TRANSFORMER_ENGINE_TYPE_SWITCH_ALL(dtype, type, ...) \
Expand Down
Loading

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

Skip to content
[DO NOT MERGE UPSTREAM]#23

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

 Closed

mjsML
wants to merge
1
commit into

from

 Closed


[DO NOT MERGE UPSTREAM]
#23
Show file tree
Hide file tree
 Changes from all commits
Commits

Show all changes


1 commit


Select commit


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


27 changes: 2 additions & 25 deletions
docs/conf.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -31,31 +31,8 @@
project = u'Transformer Engine'
copyright = u'{}, NVIDIA CORPORATION & AFFILIATES. All rights reserved.'.format(copyright_year)
author = u'NVIDIA CORPORATION & AFFILIATES'

git_sha = os.getenv("GIT_SHA")

if not git_sha:
 try:
 git_sha = subprocess.check_output(["git", "log", "--pretty=format:'%h'", "-n1"]).decode('ascii').replace("'","").strip()
 except:
 git_sha = u'0000000'

git_sha = git_sha[:7] if len(git_sha) > 7 else git_sha

version = str(te_version + u"-" + git_sha)
release = te_version

# hack: version is used for html creation, so put the version picker
# link here as well:
option_on = " selected"
option_off = ""
release_opt = option_on
option_nr = 0
version = version + """<br/>
Version select: <select onChange="window.location.href = this.value" onFocus="this.selectedIndex = {0}">
 <option value="https://docs.nvidia.com/deeplearning/transformer-engine/user-guide/index.html"{1}>Current release</option>
 <option value="https://docs.nvidia.com/deeplearning/transformer-engine/archives/index.html">Older releases</option>
</select>""".format(option_nr, release_opt)
version = te_version
release = version

# -- General configuration ---------------------------------------------------
# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
Expand Down

10 changes: 10 additions & 0 deletions
qa/L0_jax_python_unittest/test.sh

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,10 @@
# Copyright (c) 2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# See LICENSE for license information.

set -xe

: ${TE_PATH:=/opt/transformerengine}

pip install flax@git+https://github.com/google/flax#egg=flax
pytest -Wignore -v $TE_PATH/tests/jax

9 changes: 3 additions & 6 deletions
qa/L0_lint/test.sh

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -13,9 +13,6 @@ cpplint --root transformer_engine/common/include --recursive transformer_engine/
echo "Checking C++ files"
cd $TE_PATH && \
cpplint --recursive --exclude=transformer_engine/common/include transformer_engine
if [ -z "${CPP_ONLY}" ]
then
 echo "Checking Python files"
 cd $TE_PATH && \
 pylint --recursive=y transformer_engine
fi
echo "Checking Python files"
cd $TE_PATH && \
pylint --recursive=y --rcfile=./pylintrc transformer_engine --ignore transformer_engine/pytorch

15 changes: 6 additions & 9 deletions
tests/cpp/operator/test_layernorm.cu

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -163,12 +163,12 @@ void performTest(const size_t N, const size_t H) {
 float epsilon = 1e-5;
 nvte_layernorm_fwd(input.data(), gamma.data(), beta.data(), scale.data(), epsilon,
 z.data(), mu.data(), rsigma.data(), 0, prop.multiProcessorCount,
 workspace.data(), barrier.data(), amax.data(), scale_inv.data());
 workspace.data(), barrier.data(), amax.data(), scale_inv.data(), true);
 workspace = Tensor(workspace.shape(), workspace.dtype());
 barrier = Tensor(barrier.shape(), barrier.dtype());
 nvte_layernorm_fwd(input.data(), gamma.data(), beta.data(), scale.data(), epsilon,
 z.data(), mu.data(), rsigma.data(), 0, prop.multiProcessorCount,
 workspace.data(), barrier.data(), amax.data(), scale_inv.data());
 workspace.data(), barrier.data(), amax.data(), scale_inv.data(), true);

 // Backward kernel
 nvte_layernorm_bwd(dz.data(), input.data(),
Expand All@@ -195,7 +195,6 @@ void performTest(const size_t N, const size_t H) {
 float ref_amax;
 compute_ref_stats(input.cpu_dptr<InputType>(), ref_mu.get(),
 ref_rsigma.get(), N, H, epsilon);
 float ref_scale = isFp8Type(otype) ? *(scale.cpu_dptr<float>()) : 1.f;
 compute_ref_output(input.cpu_dptr<InputType>(),
 gamma.cpu_dptr<WeightType>(),
 beta.cpu_dptr<WeightType>(),
Expand All@@ -204,7 +203,7 @@ void performTest(const size_t N, const size_t H) {
 rsigma.cpu_dptr<float>(),
 N, H,
 &ref_amax,
ref_scale);
*(scale.cpu_dptr<float>()));
 compute_ref_backward(dz.cpu_dptr<WeightType>(), input.cpu_dptr<InputType>(),
 mu.cpu_dptr<float>(), rsigma.cpu_dptr<float>(),
 gamma.cpu_dptr<WeightType>(),
Expand All@@ -216,11 +215,9 @@ void performTest(const size_t N, const size_t H) {
 ASSERT_EQ(err, cudaSuccess) << cudaGetErrorString(err);

 auto [atol_amax, rtol_amax] = getTolerances(DType::kFloat32);
 if (isFp8Type(otype)) {
 compareResults("amax", amax, &ref_amax, atol_amax, rtol_amax);
 float ref_scale_inv = 1.f / (*scale.cpu_dptr<float>());
 compareResults("scale_inv", scale_inv, &ref_scale_inv, atol_amax, rtol_amax);
 }
 compareResults("amax", amax, &ref_amax, atol_amax, rtol_amax);
 float ref_scale_inv = 1.f / (*scale.cpu_dptr<float>());
 compareResults("scale_inv", scale_inv, &ref_scale_inv, atol_amax, rtol_amax);

 auto [atol_stats, rtol_stats] = getTolerances(DType::kFloat32);
 rtol_stats = 5e-5;
Expand Down

4 changes: 0 additions & 4 deletions
tests/cpp/test_common.cu

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -171,8 +171,4 @@ void fillUniform(const Tensor &t) {
 t.from_cpu();
}

bool isFp8Type(DType type) {
 return type == DType::kFloat8E4M3 || type == DType::kFloat8E5M2;
}

} // namespace test

2 changes: 0 additions & 2 deletions
tests/cpp/test_common.h

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -156,8 +156,6 @@ const std::string &typeName(DType type);

extern std::vector<DType> all_fp_types;

bool isFp8Type(DType type);

} // namespace test

#define TRANSFORMER_ENGINE_TYPE_SWITCH_ALL(dtype, type, ...) \
Expand Down
Loading

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

Skip to content
[DO NOT MERGE UPSTREAM]#23

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

 Closed

mjsML
wants to merge
1
commit into

from

 Closed


[DO NOT MERGE UPSTREAM]
#23
Show file tree
Hide file tree
 Changes from all commits
Commits

Show all changes


1 commit


Select commit


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


27 changes: 2 additions & 25 deletions
docs/conf.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -31,31 +31,8 @@
project = u'Transformer Engine'
copyright = u'{}, NVIDIA CORPORATION & AFFILIATES. All rights reserved.'.format(copyright_year)
author = u'NVIDIA CORPORATION & AFFILIATES'

git_sha = os.getenv("GIT_SHA")

if not git_sha:
 try:
 git_sha = subprocess.check_output(["git", "log", "--pretty=format:'%h'", "-n1"]).decode('ascii').replace("'","").strip()
 except:
 git_sha = u'0000000'

git_sha = git_sha[:7] if len(git_sha) > 7 else git_sha

version = str(te_version + u"-" + git_sha)
release = te_version

# hack: version is used for html creation, so put the version picker
# link here as well:
option_on = " selected"
option_off = ""
release_opt = option_on
option_nr = 0
version = version + """<br/>
Version select: <select onChange="window.location.href = this.value" onFocus="this.selectedIndex = {0}">
 <option value="https://docs.nvidia.com/deeplearning/transformer-engine/user-guide/index.html"{1}>Current release</option>
 <option value="https://docs.nvidia.com/deeplearning/transformer-engine/archives/index.html">Older releases</option>
</select>""".format(option_nr, release_opt)
version = te_version
release = version

# -- General configuration ---------------------------------------------------
# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
Expand Down

10 changes: 10 additions & 0 deletions
qa/L0_jax_python_unittest/test.sh

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,10 @@
# Copyright (c) 2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# See LICENSE for license information.

set -xe

: ${TE_PATH:=/opt/transformerengine}

pip install flax@git+https://github.com/google/flax#egg=flax
pytest -Wignore -v $TE_PATH/tests/jax

9 changes: 3 additions & 6 deletions
qa/L0_lint/test.sh

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -13,9 +13,6 @@ cpplint --root transformer_engine/common/include --recursive transformer_engine/
echo "Checking C++ files"
cd $TE_PATH && \
cpplint --recursive --exclude=transformer_engine/common/include transformer_engine
if [ -z "${CPP_ONLY}" ]
then
 echo "Checking Python files"
 cd $TE_PATH && \
 pylint --recursive=y transformer_engine
fi
echo "Checking Python files"
cd $TE_PATH && \
pylint --recursive=y --rcfile=./pylintrc transformer_engine --ignore transformer_engine/pytorch

15 changes: 6 additions & 9 deletions
tests/cpp/operator/test_layernorm.cu

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -163,12 +163,12 @@ void performTest(const size_t N, const size_t H) {
 float epsilon = 1e-5;
 nvte_layernorm_fwd(input.data(), gamma.data(), beta.data(), scale.data(), epsilon,
 z.data(), mu.data(), rsigma.data(), 0, prop.multiProcessorCount,
 workspace.data(), barrier.data(), amax.data(), scale_inv.data());
 workspace.data(), barrier.data(), amax.data(), scale_inv.data(), true);
 workspace = Tensor(workspace.shape(), workspace.dtype());
 barrier = Tensor(barrier.shape(), barrier.dtype());
 nvte_layernorm_fwd(input.data(), gamma.data(), beta.data(), scale.data(), epsilon,
 z.data(), mu.data(), rsigma.data(), 0, prop.multiProcessorCount,
 workspace.data(), barrier.data(), amax.data(), scale_inv.data());
 workspace.data(), barrier.data(), amax.data(), scale_inv.data(), true);

 // Backward kernel
 nvte_layernorm_bwd(dz.data(), input.data(),
Expand All@@ -195,7 +195,6 @@ void performTest(const size_t N, const size_t H) {
 float ref_amax;
 compute_ref_stats(input.cpu_dptr<InputType>(), ref_mu.get(),
 ref_rsigma.get(), N, H, epsilon);
 float ref_scale = isFp8Type(otype) ? *(scale.cpu_dptr<float>()) : 1.f;
 compute_ref_output(input.cpu_dptr<InputType>(),
 gamma.cpu_dptr<WeightType>(),
 beta.cpu_dptr<WeightType>(),
Expand All@@ -204,7 +203,7 @@ void performTest(const size_t N, const size_t H) {
 rsigma.cpu_dptr<float>(),
 N, H,
 &ref_amax,
ref_scale);
*(scale.cpu_dptr<float>()));
 compute_ref_backward(dz.cpu_dptr<WeightType>(), input.cpu_dptr<InputType>(),
 mu.cpu_dptr<float>(), rsigma.cpu_dptr<float>(),
 gamma.cpu_dptr<WeightType>(),
Expand All@@ -216,11 +215,9 @@ void performTest(const size_t N, const size_t H) {
 ASSERT_EQ(err, cudaSuccess) << cudaGetErrorString(err);

 auto [atol_amax, rtol_amax] = getTolerances(DType::kFloat32);
 if (isFp8Type(otype)) {
 compareResults("amax", amax, &ref_amax, atol_amax, rtol_amax);
 float ref_scale_inv = 1.f / (*scale.cpu_dptr<float>());
 compareResults("scale_inv", scale_inv, &ref_scale_inv, atol_amax, rtol_amax);
 }
 compareResults("amax", amax, &ref_amax, atol_amax, rtol_amax);
 float ref_scale_inv = 1.f / (*scale.cpu_dptr<float>());
 compareResults("scale_inv", scale_inv, &ref_scale_inv, atol_amax, rtol_amax);

 auto [atol_stats, rtol_stats] = getTolerances(DType::kFloat32);
 rtol_stats = 5e-5;
Expand Down

4 changes: 0 additions & 4 deletions
tests/cpp/test_common.cu

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -171,8 +171,4 @@ void fillUniform(const Tensor &t) {
 t.from_cpu();
}

bool isFp8Type(DType type) {
 return type == DType::kFloat8E4M3 || type == DType::kFloat8E5M2;
}

} // namespace test

2 changes: 0 additions & 2 deletions
tests/cpp/test_common.h

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -156,8 +156,6 @@ const std::string &typeName(DType type);

extern std::vector<DType> all_fp_types;

bool isFp8Type(DType type);

} // namespace test

#define TRANSFORMER_ENGINE_TYPE_SWITCH_ALL(dtype, type, ...) \
Expand Down
Loading

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

Skip to content
[DO NOT MERGE UPSTREAM]#23

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

 Closed

mjsML
wants to merge
1
commit into

from

 Closed


[DO NOT MERGE UPSTREAM]
#23
Show file tree
Hide file tree
 Changes from all commits
Commits

Show all changes


1 commit


Select commit


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


27 changes: 2 additions & 25 deletions
docs/conf.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -31,31 +31,8 @@
project = u'Transformer Engine'
copyright = u'{}, NVIDIA CORPORATION & AFFILIATES. All rights reserved.'.format(copyright_year)
author = u'NVIDIA CORPORATION & AFFILIATES'

git_sha = os.getenv("GIT_SHA")

if not git_sha:
 try:
 git_sha = subprocess.check_output(["git", "log", "--pretty=format:'%h'", "-n1"]).decode('ascii').replace("'","").strip()
 except:
 git_sha = u'0000000'

git_sha = git_sha[:7] if len(git_sha) > 7 else git_sha

version = str(te_version + u"-" + git_sha)
release = te_version

# hack: version is used for html creation, so put the version picker
# link here as well:
option_on = " selected"
option_off = ""
release_opt = option_on
option_nr = 0
version = version + """<br/>
Version select: <select onChange="window.location.href = this.value" onFocus="this.selectedIndex = {0}">
 <option value="https://docs.nvidia.com/deeplearning/transformer-engine/user-guide/index.html"{1}>Current release</option>
 <option value="https://docs.nvidia.com/deeplearning/transformer-engine/archives/index.html">Older releases</option>
</select>""".format(option_nr, release_opt)
version = te_version
release = version

# -- General configuration ---------------------------------------------------
# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
Expand Down

10 changes: 10 additions & 0 deletions
qa/L0_jax_python_unittest/test.sh

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,10 @@
# Copyright (c) 2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# See LICENSE for license information.

set -xe

: ${TE_PATH:=/opt/transformerengine}

pip install flax@git+https://github.com/google/flax#egg=flax
pytest -Wignore -v $TE_PATH/tests/jax

9 changes: 3 additions & 6 deletions
qa/L0_lint/test.sh

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -13,9 +13,6 @@ cpplint --root transformer_engine/common/include --recursive transformer_engine/
echo "Checking C++ files"
cd $TE_PATH && \
cpplint --recursive --exclude=transformer_engine/common/include transformer_engine
if [ -z "${CPP_ONLY}" ]
then
 echo "Checking Python files"
 cd $TE_PATH && \
 pylint --recursive=y transformer_engine
fi
echo "Checking Python files"
cd $TE_PATH && \
pylint --recursive=y --rcfile=./pylintrc transformer_engine --ignore transformer_engine/pytorch

15 changes: 6 additions & 9 deletions
tests/cpp/operator/test_layernorm.cu

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -163,12 +163,12 @@ void performTest(const size_t N, const size_t H) {
 float epsilon = 1e-5;
 nvte_layernorm_fwd(input.data(), gamma.data(), beta.data(), scale.data(), epsilon,
 z.data(), mu.data(), rsigma.data(), 0, prop.multiProcessorCount,
 workspace.data(), barrier.data(), amax.data(), scale_inv.data());
 workspace.data(), barrier.data(), amax.data(), scale_inv.data(), true);
 workspace = Tensor(workspace.shape(), workspace.dtype());
 barrier = Tensor(barrier.shape(), barrier.dtype());
 nvte_layernorm_fwd(input.data(), gamma.data(), beta.data(), scale.data(), epsilon,
 z.data(), mu.data(), rsigma.data(), 0, prop.multiProcessorCount,
 workspace.data(), barrier.data(), amax.data(), scale_inv.data());
 workspace.data(), barrier.data(), amax.data(), scale_inv.data(), true);

 // Backward kernel
 nvte_layernorm_bwd(dz.data(), input.data(),
Expand All@@ -195,7 +195,6 @@ void performTest(const size_t N, const size_t H) {
 float ref_amax;
 compute_ref_stats(input.cpu_dptr<InputType>(), ref_mu.get(),
 ref_rsigma.get(), N, H, epsilon);
 float ref_scale = isFp8Type(otype) ? *(scale.cpu_dptr<float>()) : 1.f;
 compute_ref_output(input.cpu_dptr<InputType>(),
 gamma.cpu_dptr<WeightType>(),
 beta.cpu_dptr<WeightType>(),
Expand All@@ -204,7 +203,7 @@ void performTest(const size_t N, const size_t H) {
 rsigma.cpu_dptr<float>(),
 N, H,
 &ref_amax,
ref_scale);
*(scale.cpu_dptr<float>()));
 compute_ref_backward(dz.cpu_dptr<WeightType>(), input.cpu_dptr<InputType>(),
 mu.cpu_dptr<float>(), rsigma.cpu_dptr<float>(),
 gamma.cpu_dptr<WeightType>(),
Expand All@@ -216,11 +215,9 @@ void performTest(const size_t N, const size_t H) {
 ASSERT_EQ(err, cudaSuccess) << cudaGetErrorString(err);

 auto [atol_amax, rtol_amax] = getTolerances(DType::kFloat32);
 if (isFp8Type(otype)) {
 compareResults("amax", amax, &ref_amax, atol_amax, rtol_amax);
 float ref_scale_inv = 1.f / (*scale.cpu_dptr<float>());
 compareResults("scale_inv", scale_inv, &ref_scale_inv, atol_amax, rtol_amax);
 }
 compareResults("amax", amax, &ref_amax, atol_amax, rtol_amax);
 float ref_scale_inv = 1.f / (*scale.cpu_dptr<float>());
 compareResults("scale_inv", scale_inv, &ref_scale_inv, atol_amax, rtol_amax);

 auto [atol_stats, rtol_stats] = getTolerances(DType::kFloat32);
 rtol_stats = 5e-5;
Expand Down

4 changes: 0 additions & 4 deletions
tests/cpp/test_common.cu

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -171,8 +171,4 @@ void fillUniform(const Tensor &t) {
 t.from_cpu();
}

bool isFp8Type(DType type) {
 return type == DType::kFloat8E4M3 || type == DType::kFloat8E5M2;
}

} // namespace test

2 changes: 0 additions & 2 deletions
tests/cpp/test_common.h

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -156,8 +156,6 @@ const std::string &typeName(DType type);

extern std::vector<DType> all_fp_types;

bool isFp8Type(DType type);

} // namespace test

#define TRANSFORMER_ENGINE_TYPE_SWITCH_ALL(dtype, type, ...) \
Expand Down
Loading