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10 changes: 8 additions & 2 deletions CONTRIBUTING.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -215,6 +215,14 @@ must work with threading**

## Testing

### Running Tests Locally

CI is run automatically on all pull requests. However, if you want to run tests locally, here are some example commands (not exhaustive):

- The `sh test/build_size_test.sh` script will compile the C++runtime along with portable kernels.
- The `test/run_oss_cpp_tests.sh` script will build and run C++ tests locally
- Running `pytest` from the root directory will run Python tests locally.

### Writing Tests
To help keep code quality high, ExecuTorch uses a combination of unit tests and
end-to-end (e2e) tests. If you add a new feature or fix a bug, please add tests
Expand All@@ -229,8 +237,6 @@ If it's not clear how to add a test for your PR, take a look at the blame for
the code you're modifying and find an author who has more context. Ask them
for their help in the PR comments.

The `test/run_oss_cpp_tests.sh` script will build and run C++ tests locally.

### Continuous Integration
See https://hud.pytorch.org/hud/pytorch/executorch/main for the current state of
the CI (continuous integration) jobs. If `main` is broken, consider rebasing
Expand Down
3 changes: 2 additions & 1 deletion kernels/portable/cpu/op_full.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -38,7 +38,8 @@ Tensor& full_out(

ET_SWITCH_SCALAR_OBJ_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
CTYPE_VAL val;
utils::extract_scalar(fill_value, &val);
ET_KERNEL_CHECK(

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I don't think ET_KERNEL_CHECK will do the right thing in a lambda -- it returns from the lambda, not the operator

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any suggestions on how to fix?

i think it's fine, since it will return void from the lambda, but sets context to be fail, with error code InvalidArgument.

ctx, utils::extract_scalar(fill_value, &val), InvalidArgument, );

ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, name, CTYPE_OUT, [&] {
CTYPE_OUT val_casted = static_cast<CTYPE_OUT>(val);
Expand Down
3 changes: 2 additions & 1 deletion kernels/portable/cpu/op_full_like.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -54,7 +54,8 @@ Tensor& full_like_out(

ET_SWITCH_REALB_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
CTYPE_VAL val;
utils::extract_scalar(fill_value, &val);
ET_KERNEL_CHECK(
ctx, utils::extract_scalar(fill_value, &val), InvalidArgument, );

ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, name, CTYPE_OUT, [&] {
CTYPE_OUT val_casted = static_cast<CTYPE_OUT>(val);
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_scatter.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -156,7 +156,7 @@ Tensor& scatter_value_out(

ET_SWITCH_SCALAR_OBJ_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
CTYPE_VAL val;
utils::extract_scalar(value, &val);
ET_KERNEL_CHECK(ctx, utils::extract_scalar(value, &val), InvalidArgument, );

ET_SWITCH_REALHBBF16_TYPES(in.scalar_type(), ctx, name, CTYPE, [&]() {
scatter_value_helper<CTYPE>(in, dim, index, val, out);
Expand Down
16 changes: 7 additions & 9 deletions kernels/portable/cpu/util/broadcast_util.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -215,18 +215,16 @@ ET_NODISCARD Error get_broadcast_target_size(
size_t* out_dim) {
if ET_UNLIKELY (!tensors_are_broadcastable_between(a_size, b_size)) {
#ifdef ET_LOG_ENABLED
const auto a_shape_str = tensor_shape_to_c_string(
executorch::runtime::Span<const Tensor::SizesType>(
a_size.data(), a_size.size()));
const auto b_shape_str = tensor_shape_to_c_string(
executorch::runtime::Span<const Tensor::SizesType>(
b_size.data(), b_size.size()));
#endif
executorch::runtime::Span<const Tensor::SizesType> a_size_span(
a_size.data(), a_size.size());
executorch::runtime::Span<const Tensor::SizesType> b_size_span(
b_size.data(), b_size.size());
ET_LOG(
Error,
"Two input tensors should be broadcastable but got shapes %s and %s.",
a_shape_str.data(),
b_shape_str.data());
tensor_shape_to_c_string(a_size_span).data(),
tensor_shape_to_c_string(b_size_span).data());
#endif

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Thanks!

return executorch::runtime::Error::InvalidArgument;
}

Expand Down
24 changes: 11 additions & 13 deletions runtime/core/portable_type/tensor_impl.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -96,20 +96,18 @@ Error TensorImpl::internal_resize_contiguous(ArrayRef<SizesType> new_sizes) {
case TensorShapeDynamism::STATIC:
if (!std::equal(sizes_, sizes_ + dim_, new_sizes.begin())) {
#ifdef ET_LOG_ENABLED
auto old_sizes_str = executorch::runtime::tensor_shape_to_c_string(
executorch::runtime::Span<const SizesType>(
sizes().data(), sizes().size()));
auto new_sizes_str = executorch::runtime::tensor_shape_to_c_string(
executorch::runtime::Span<const SizesType>(
new_sizes.data(), new_sizes.size()));
#endif

ET_CHECK_OR_RETURN_ERROR(
false,
NotSupported,
executorch::runtime::Span<const SizesType> sizes_span(
sizes().data(), sizes().size());
executorch::runtime::Span<const SizesType> new_sizes_span(
new_sizes.data(), new_sizes.size());
ET_LOG(
Error,
"Attempted to resize a static tensor. Expected shape %s, but received %s.",
old_sizes_str.data(),
new_sizes_str.data())
executorch::runtime::tensor_shape_to_c_string(sizes_span).data(),
executorch::runtime::tensor_shape_to_c_string(new_sizes_span)
.data());
#endif
return executorch::runtime::Error::NotSupported;
}

break;
Expand Down
8 changes: 6 additions & 2 deletions test/build_size_test.sh
Original file line numberDiff line numberDiff line change
Expand Up@@ -11,11 +11,15 @@ set -e
# shellcheck source=/dev/null
source "$(dirname "${BASH_SOURCE[0]}")/../.ci/scripts/utils.sh"

# TODO(#8149): Remove -Wno-sign-compare
# TODO(#8357): Remove -Wno-int-in-bool-context
COMMON_CXXFLAGS="-fno-exceptions -fno-rtti -Wall -Werror -Wno-sign-compare -Wno-unknown-pragmas -Wno-int-in-bool-context"

cmake_install_executorch_lib() {
echo "Installing libexecutorch.a"
clean_executorch_install_folders

CXXFLAGS="-fno-exceptions -fno-rtti" retry cmake -DBUCK2="$BUCK2" \
CXXFLAGS="$COMMON_CXXFLAGS" retry cmake -DBUCK2="$BUCK2" \
-DCMAKE_CXX_STANDARD_REQUIRED=ON \
-DCMAKE_INSTALL_PREFIX=cmake-out \
-DCMAKE_BUILD_TYPE=Release \
Expand All@@ -27,7 +31,7 @@ cmake_install_executorch_lib() {
}

test_cmake_size_test() {
CXXFLAGS="-fno-exceptions -fno-rtti" retry cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=cmake-out -Bcmake-out/test test
CXXFLAGS="$COMMON_CXXFLAGS" retry cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=cmake-out -Bcmake-out/test test

echo "Build size test"
cmake --build cmake-out/test -j9 --config Release
Expand Down
, '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" + '
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10 changes: 8 additions & 2 deletions CONTRIBUTING.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -215,6 +215,14 @@ must work with threading**

## Testing

### Running Tests Locally

CI is run automatically on all pull requests. However, if you want to run tests locally, here are some example commands (not exhaustive):

- The `sh test/build_size_test.sh` script will compile the C++runtime along with portable kernels.
- The `test/run_oss_cpp_tests.sh` script will build and run C++ tests locally
- Running `pytest` from the root directory will run Python tests locally.

### Writing Tests
To help keep code quality high, ExecuTorch uses a combination of unit tests and
end-to-end (e2e) tests. If you add a new feature or fix a bug, please add tests
Expand All@@ -229,8 +237,6 @@ If it's not clear how to add a test for your PR, take a look at the blame for
the code you're modifying and find an author who has more context. Ask them
for their help in the PR comments.

The `test/run_oss_cpp_tests.sh` script will build and run C++ tests locally.

### Continuous Integration
See https://hud.pytorch.org/hud/pytorch/executorch/main for the current state of
the CI (continuous integration) jobs. If `main` is broken, consider rebasing
Expand Down
3 changes: 2 additions & 1 deletion kernels/portable/cpu/op_full.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -38,7 +38,8 @@ Tensor& full_out(

ET_SWITCH_SCALAR_OBJ_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
CTYPE_VAL val;
utils::extract_scalar(fill_value, &val);
ET_KERNEL_CHECK(

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I don't think ET_KERNEL_CHECK will do the right thing in a lambda -- it returns from the lambda, not the operator

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ContributorAuthor

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any suggestions on how to fix?

i think it's fine, since it will return void from the lambda, but sets context to be fail, with error code InvalidArgument.

ctx, utils::extract_scalar(fill_value, &val), InvalidArgument, );

ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, name, CTYPE_OUT, [&] {
CTYPE_OUT val_casted = static_cast<CTYPE_OUT>(val);
Expand Down
3 changes: 2 additions & 1 deletion kernels/portable/cpu/op_full_like.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -54,7 +54,8 @@ Tensor& full_like_out(

ET_SWITCH_REALB_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
CTYPE_VAL val;
utils::extract_scalar(fill_value, &val);
ET_KERNEL_CHECK(
ctx, utils::extract_scalar(fill_value, &val), InvalidArgument, );

ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, name, CTYPE_OUT, [&] {
CTYPE_OUT val_casted = static_cast<CTYPE_OUT>(val);
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_scatter.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -156,7 +156,7 @@ Tensor& scatter_value_out(

ET_SWITCH_SCALAR_OBJ_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
CTYPE_VAL val;
utils::extract_scalar(value, &val);
ET_KERNEL_CHECK(ctx, utils::extract_scalar(value, &val), InvalidArgument, );

ET_SWITCH_REALHBBF16_TYPES(in.scalar_type(), ctx, name, CTYPE, [&]() {
scatter_value_helper<CTYPE>(in, dim, index, val, out);
Expand Down
16 changes: 7 additions & 9 deletions kernels/portable/cpu/util/broadcast_util.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -215,18 +215,16 @@ ET_NODISCARD Error get_broadcast_target_size(
size_t* out_dim) {
if ET_UNLIKELY (!tensors_are_broadcastable_between(a_size, b_size)) {
#ifdef ET_LOG_ENABLED
const auto a_shape_str = tensor_shape_to_c_string(
executorch::runtime::Span<const Tensor::SizesType>(
a_size.data(), a_size.size()));
const auto b_shape_str = tensor_shape_to_c_string(
executorch::runtime::Span<const Tensor::SizesType>(
b_size.data(), b_size.size()));
#endif
executorch::runtime::Span<const Tensor::SizesType> a_size_span(
a_size.data(), a_size.size());
executorch::runtime::Span<const Tensor::SizesType> b_size_span(
b_size.data(), b_size.size());
ET_LOG(
Error,
"Two input tensors should be broadcastable but got shapes %s and %s.",
a_shape_str.data(),
b_shape_str.data());
tensor_shape_to_c_string(a_size_span).data(),
tensor_shape_to_c_string(b_size_span).data());
#endif

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Thanks!

return executorch::runtime::Error::InvalidArgument;
}

Expand Down
24 changes: 11 additions & 13 deletions runtime/core/portable_type/tensor_impl.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -96,20 +96,18 @@ Error TensorImpl::internal_resize_contiguous(ArrayRef<SizesType> new_sizes) {
case TensorShapeDynamism::STATIC:
if (!std::equal(sizes_, sizes_ + dim_, new_sizes.begin())) {
#ifdef ET_LOG_ENABLED
auto old_sizes_str = executorch::runtime::tensor_shape_to_c_string(
executorch::runtime::Span<const SizesType>(
sizes().data(), sizes().size()));
auto new_sizes_str = executorch::runtime::tensor_shape_to_c_string(
executorch::runtime::Span<const SizesType>(
new_sizes.data(), new_sizes.size()));
#endif

ET_CHECK_OR_RETURN_ERROR(
false,
NotSupported,
executorch::runtime::Span<const SizesType> sizes_span(
sizes().data(), sizes().size());
executorch::runtime::Span<const SizesType> new_sizes_span(
new_sizes.data(), new_sizes.size());
ET_LOG(
Error,
"Attempted to resize a static tensor. Expected shape %s, but received %s.",
old_sizes_str.data(),
new_sizes_str.data())
executorch::runtime::tensor_shape_to_c_string(sizes_span).data(),
executorch::runtime::tensor_shape_to_c_string(new_sizes_span)
.data());
#endif
return executorch::runtime::Error::NotSupported;
}

break;
Expand Down
8 changes: 6 additions & 2 deletions test/build_size_test.sh
Original file line numberDiff line numberDiff line change
Expand Up@@ -11,11 +11,15 @@ set -e
# shellcheck source=/dev/null
source "$(dirname "${BASH_SOURCE[0]}")/../.ci/scripts/utils.sh"

# TODO(#8149): Remove -Wno-sign-compare
# TODO(#8357): Remove -Wno-int-in-bool-context
COMMON_CXXFLAGS="-fno-exceptions -fno-rtti -Wall -Werror -Wno-sign-compare -Wno-unknown-pragmas -Wno-int-in-bool-context"

cmake_install_executorch_lib() {
echo "Installing libexecutorch.a"
clean_executorch_install_folders

CXXFLAGS="-fno-exceptions -fno-rtti" retry cmake -DBUCK2="$BUCK2" \
CXXFLAGS="$COMMON_CXXFLAGS" retry cmake -DBUCK2="$BUCK2" \
-DCMAKE_CXX_STANDARD_REQUIRED=ON \
-DCMAKE_INSTALL_PREFIX=cmake-out \
-DCMAKE_BUILD_TYPE=Release \
Expand All@@ -27,7 +31,7 @@ cmake_install_executorch_lib() {
}

test_cmake_size_test() {
CXXFLAGS="-fno-exceptions -fno-rtti" retry cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=cmake-out -Bcmake-out/test test
CXXFLAGS="$COMMON_CXXFLAGS" retry cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=cmake-out -Bcmake-out/test test

echo "Build size test"
cmake --build cmake-out/test -j9 --config Release
Expand Down
, '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('^' + ".*" + '
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10 changes: 8 additions & 2 deletions CONTRIBUTING.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -215,6 +215,14 @@ must work with threading**

## Testing

### Running Tests Locally

CI is run automatically on all pull requests. However, if you want to run tests locally, here are some example commands (not exhaustive):

- The `sh test/build_size_test.sh` script will compile the C++runtime along with portable kernels.
- The `test/run_oss_cpp_tests.sh` script will build and run C++ tests locally
- Running `pytest` from the root directory will run Python tests locally.

### Writing Tests
To help keep code quality high, ExecuTorch uses a combination of unit tests and
end-to-end (e2e) tests. If you add a new feature or fix a bug, please add tests
Expand All@@ -229,8 +237,6 @@ If it's not clear how to add a test for your PR, take a look at the blame for
the code you're modifying and find an author who has more context. Ask them
for their help in the PR comments.

The `test/run_oss_cpp_tests.sh` script will build and run C++ tests locally.

### Continuous Integration
See https://hud.pytorch.org/hud/pytorch/executorch/main for the current state of
the CI (continuous integration) jobs. If `main` is broken, consider rebasing
Expand Down
3 changes: 2 additions & 1 deletion kernels/portable/cpu/op_full.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -38,7 +38,8 @@ Tensor& full_out(

ET_SWITCH_SCALAR_OBJ_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
CTYPE_VAL val;
utils::extract_scalar(fill_value, &val);
ET_KERNEL_CHECK(

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I don't think ET_KERNEL_CHECK will do the right thing in a lambda -- it returns from the lambda, not the operator

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ContributorAuthor

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The reason will be displayed to describe this comment to others. Learn more.

any suggestions on how to fix?

i think it's fine, since it will return void from the lambda, but sets context to be fail, with error code InvalidArgument.

ctx, utils::extract_scalar(fill_value, &val), InvalidArgument, );

ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, name, CTYPE_OUT, [&] {
CTYPE_OUT val_casted = static_cast<CTYPE_OUT>(val);
Expand Down
3 changes: 2 additions & 1 deletion kernels/portable/cpu/op_full_like.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -54,7 +54,8 @@ Tensor& full_like_out(

ET_SWITCH_REALB_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
CTYPE_VAL val;
utils::extract_scalar(fill_value, &val);
ET_KERNEL_CHECK(
ctx, utils::extract_scalar(fill_value, &val), InvalidArgument, );

ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, name, CTYPE_OUT, [&] {
CTYPE_OUT val_casted = static_cast<CTYPE_OUT>(val);
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_scatter.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -156,7 +156,7 @@ Tensor& scatter_value_out(

ET_SWITCH_SCALAR_OBJ_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
CTYPE_VAL val;
utils::extract_scalar(value, &val);
ET_KERNEL_CHECK(ctx, utils::extract_scalar(value, &val), InvalidArgument, );

ET_SWITCH_REALHBBF16_TYPES(in.scalar_type(), ctx, name, CTYPE, [&]() {
scatter_value_helper<CTYPE>(in, dim, index, val, out);
Expand Down
16 changes: 7 additions & 9 deletions kernels/portable/cpu/util/broadcast_util.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -215,18 +215,16 @@ ET_NODISCARD Error get_broadcast_target_size(
size_t* out_dim) {
if ET_UNLIKELY (!tensors_are_broadcastable_between(a_size, b_size)) {
#ifdef ET_LOG_ENABLED
const auto a_shape_str = tensor_shape_to_c_string(
executorch::runtime::Span<const Tensor::SizesType>(
a_size.data(), a_size.size()));
const auto b_shape_str = tensor_shape_to_c_string(
executorch::runtime::Span<const Tensor::SizesType>(
b_size.data(), b_size.size()));
#endif
executorch::runtime::Span<const Tensor::SizesType> a_size_span(
a_size.data(), a_size.size());
executorch::runtime::Span<const Tensor::SizesType> b_size_span(
b_size.data(), b_size.size());
ET_LOG(
Error,
"Two input tensors should be broadcastable but got shapes %s and %s.",
a_shape_str.data(),
b_shape_str.data());
tensor_shape_to_c_string(a_size_span).data(),
tensor_shape_to_c_string(b_size_span).data());
#endif

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Thanks!

return executorch::runtime::Error::InvalidArgument;
}

Expand Down
24 changes: 11 additions & 13 deletions runtime/core/portable_type/tensor_impl.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -96,20 +96,18 @@ Error TensorImpl::internal_resize_contiguous(ArrayRef<SizesType> new_sizes) {
case TensorShapeDynamism::STATIC:
if (!std::equal(sizes_, sizes_ + dim_, new_sizes.begin())) {
#ifdef ET_LOG_ENABLED
auto old_sizes_str = executorch::runtime::tensor_shape_to_c_string(
executorch::runtime::Span<const SizesType>(
sizes().data(), sizes().size()));
auto new_sizes_str = executorch::runtime::tensor_shape_to_c_string(
executorch::runtime::Span<const SizesType>(
new_sizes.data(), new_sizes.size()));
#endif

ET_CHECK_OR_RETURN_ERROR(
false,
NotSupported,
executorch::runtime::Span<const SizesType> sizes_span(
sizes().data(), sizes().size());
executorch::runtime::Span<const SizesType> new_sizes_span(
new_sizes.data(), new_sizes.size());
ET_LOG(
Error,
"Attempted to resize a static tensor. Expected shape %s, but received %s.",
old_sizes_str.data(),
new_sizes_str.data())
executorch::runtime::tensor_shape_to_c_string(sizes_span).data(),
executorch::runtime::tensor_shape_to_c_string(new_sizes_span)
.data());
#endif
return executorch::runtime::Error::NotSupported;
}

break;
Expand Down
8 changes: 6 additions & 2 deletions test/build_size_test.sh
Original file line numberDiff line numberDiff line change
Expand Up@@ -11,11 +11,15 @@ set -e
# shellcheck source=/dev/null
source "$(dirname "${BASH_SOURCE[0]}")/../.ci/scripts/utils.sh"

# TODO(#8149): Remove -Wno-sign-compare
# TODO(#8357): Remove -Wno-int-in-bool-context
COMMON_CXXFLAGS="-fno-exceptions -fno-rtti -Wall -Werror -Wno-sign-compare -Wno-unknown-pragmas -Wno-int-in-bool-context"

cmake_install_executorch_lib() {
echo "Installing libexecutorch.a"
clean_executorch_install_folders

CXXFLAGS="-fno-exceptions -fno-rtti" retry cmake -DBUCK2="$BUCK2" \
CXXFLAGS="$COMMON_CXXFLAGS" retry cmake -DBUCK2="$BUCK2" \
-DCMAKE_CXX_STANDARD_REQUIRED=ON \
-DCMAKE_INSTALL_PREFIX=cmake-out \
-DCMAKE_BUILD_TYPE=Release \
Expand All@@ -27,7 +31,7 @@ cmake_install_executorch_lib() {
}

test_cmake_size_test() {
CXXFLAGS="-fno-exceptions -fno-rtti" retry cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=cmake-out -Bcmake-out/test test
CXXFLAGS="$COMMON_CXXFLAGS" retry cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=cmake-out -Bcmake-out/test test

echo "Build size test"
cmake --build cmake-out/test -j9 --config Release
Expand Down
, '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('^' + ".*" + '
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10 changes: 8 additions & 2 deletions CONTRIBUTING.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -215,6 +215,14 @@ must work with threading**

## Testing

### Running Tests Locally

CI is run automatically on all pull requests. However, if you want to run tests locally, here are some example commands (not exhaustive):

- The `sh test/build_size_test.sh` script will compile the C++runtime along with portable kernels.
- The `test/run_oss_cpp_tests.sh` script will build and run C++ tests locally
- Running `pytest` from the root directory will run Python tests locally.

### Writing Tests
To help keep code quality high, ExecuTorch uses a combination of unit tests and
end-to-end (e2e) tests. If you add a new feature or fix a bug, please add tests
Expand All@@ -229,8 +237,6 @@ If it's not clear how to add a test for your PR, take a look at the blame for
the code you're modifying and find an author who has more context. Ask them
for their help in the PR comments.

The `test/run_oss_cpp_tests.sh` script will build and run C++ tests locally.

### Continuous Integration
See https://hud.pytorch.org/hud/pytorch/executorch/main for the current state of
the CI (continuous integration) jobs. If `main` is broken, consider rebasing
Expand Down
3 changes: 2 additions & 1 deletion kernels/portable/cpu/op_full.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -38,7 +38,8 @@ Tensor& full_out(

ET_SWITCH_SCALAR_OBJ_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
CTYPE_VAL val;
utils::extract_scalar(fill_value, &val);
ET_KERNEL_CHECK(

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I don't think ET_KERNEL_CHECK will do the right thing in a lambda -- it returns from the lambda, not the operator

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any suggestions on how to fix?

i think it's fine, since it will return void from the lambda, but sets context to be fail, with error code InvalidArgument.

ctx, utils::extract_scalar(fill_value, &val), InvalidArgument, );

ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, name, CTYPE_OUT, [&] {
CTYPE_OUT val_casted = static_cast<CTYPE_OUT>(val);
Expand Down
3 changes: 2 additions & 1 deletion kernels/portable/cpu/op_full_like.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -54,7 +54,8 @@ Tensor& full_like_out(

ET_SWITCH_REALB_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
CTYPE_VAL val;
utils::extract_scalar(fill_value, &val);
ET_KERNEL_CHECK(
ctx, utils::extract_scalar(fill_value, &val), InvalidArgument, );

ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, name, CTYPE_OUT, [&] {
CTYPE_OUT val_casted = static_cast<CTYPE_OUT>(val);
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_scatter.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -156,7 +156,7 @@ Tensor& scatter_value_out(

ET_SWITCH_SCALAR_OBJ_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
CTYPE_VAL val;
utils::extract_scalar(value, &val);
ET_KERNEL_CHECK(ctx, utils::extract_scalar(value, &val), InvalidArgument, );

ET_SWITCH_REALHBBF16_TYPES(in.scalar_type(), ctx, name, CTYPE, [&]() {
scatter_value_helper<CTYPE>(in, dim, index, val, out);
Expand Down
16 changes: 7 additions & 9 deletions kernels/portable/cpu/util/broadcast_util.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -215,18 +215,16 @@ ET_NODISCARD Error get_broadcast_target_size(
size_t* out_dim) {
if ET_UNLIKELY (!tensors_are_broadcastable_between(a_size, b_size)) {
#ifdef ET_LOG_ENABLED
const auto a_shape_str = tensor_shape_to_c_string(
executorch::runtime::Span<const Tensor::SizesType>(
a_size.data(), a_size.size()));
const auto b_shape_str = tensor_shape_to_c_string(
executorch::runtime::Span<const Tensor::SizesType>(
b_size.data(), b_size.size()));
#endif
executorch::runtime::Span<const Tensor::SizesType> a_size_span(
a_size.data(), a_size.size());
executorch::runtime::Span<const Tensor::SizesType> b_size_span(
b_size.data(), b_size.size());
ET_LOG(
Error,
"Two input tensors should be broadcastable but got shapes %s and %s.",
a_shape_str.data(),
b_shape_str.data());
tensor_shape_to_c_string(a_size_span).data(),
tensor_shape_to_c_string(b_size_span).data());
#endif

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Thanks!

return executorch::runtime::Error::InvalidArgument;
}

Expand Down
24 changes: 11 additions & 13 deletions runtime/core/portable_type/tensor_impl.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -96,20 +96,18 @@ Error TensorImpl::internal_resize_contiguous(ArrayRef<SizesType> new_sizes) {
case TensorShapeDynamism::STATIC:
if (!std::equal(sizes_, sizes_ + dim_, new_sizes.begin())) {
#ifdef ET_LOG_ENABLED
auto old_sizes_str = executorch::runtime::tensor_shape_to_c_string(
executorch::runtime::Span<const SizesType>(
sizes().data(), sizes().size()));
auto new_sizes_str = executorch::runtime::tensor_shape_to_c_string(
executorch::runtime::Span<const SizesType>(
new_sizes.data(), new_sizes.size()));
#endif

ET_CHECK_OR_RETURN_ERROR(
false,
NotSupported,
executorch::runtime::Span<const SizesType> sizes_span(
sizes().data(), sizes().size());
executorch::runtime::Span<const SizesType> new_sizes_span(
new_sizes.data(), new_sizes.size());
ET_LOG(
Error,
"Attempted to resize a static tensor. Expected shape %s, but received %s.",
old_sizes_str.data(),
new_sizes_str.data())
executorch::runtime::tensor_shape_to_c_string(sizes_span).data(),
executorch::runtime::tensor_shape_to_c_string(new_sizes_span)
.data());
#endif
return executorch::runtime::Error::NotSupported;
}

break;
Expand Down
8 changes: 6 additions & 2 deletions test/build_size_test.sh
Original file line numberDiff line numberDiff line change
Expand Up@@ -11,11 +11,15 @@ set -e
# shellcheck source=/dev/null
source "$(dirname "${BASH_SOURCE[0]}")/../.ci/scripts/utils.sh"

# TODO(#8149): Remove -Wno-sign-compare
# TODO(#8357): Remove -Wno-int-in-bool-context
COMMON_CXXFLAGS="-fno-exceptions -fno-rtti -Wall -Werror -Wno-sign-compare -Wno-unknown-pragmas -Wno-int-in-bool-context"

cmake_install_executorch_lib() {
echo "Installing libexecutorch.a"
clean_executorch_install_folders

CXXFLAGS="-fno-exceptions -fno-rtti" retry cmake -DBUCK2="$BUCK2" \
CXXFLAGS="$COMMON_CXXFLAGS" retry cmake -DBUCK2="$BUCK2" \
-DCMAKE_CXX_STANDARD_REQUIRED=ON \
-DCMAKE_INSTALL_PREFIX=cmake-out \
-DCMAKE_BUILD_TYPE=Release \
Expand All@@ -27,7 +31,7 @@ cmake_install_executorch_lib() {
}

test_cmake_size_test() {
CXXFLAGS="-fno-exceptions -fno-rtti" retry cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=cmake-out -Bcmake-out/test test
CXXFLAGS="$COMMON_CXXFLAGS" retry cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=cmake-out -Bcmake-out/test test

echo "Build size test"
cmake --build cmake-out/test -j9 --config Release
Expand Down
, '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" + '
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10 changes: 8 additions & 2 deletions CONTRIBUTING.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -215,6 +215,14 @@ must work with threading**

## Testing

### Running Tests Locally

CI is run automatically on all pull requests. However, if you want to run tests locally, here are some example commands (not exhaustive):

- The `sh test/build_size_test.sh` script will compile the C++runtime along with portable kernels.
- The `test/run_oss_cpp_tests.sh` script will build and run C++ tests locally
- Running `pytest` from the root directory will run Python tests locally.

### Writing Tests
To help keep code quality high, ExecuTorch uses a combination of unit tests and
end-to-end (e2e) tests. If you add a new feature or fix a bug, please add tests
Expand All@@ -229,8 +237,6 @@ If it's not clear how to add a test for your PR, take a look at the blame for
the code you're modifying and find an author who has more context. Ask them
for their help in the PR comments.

The `test/run_oss_cpp_tests.sh` script will build and run C++ tests locally.

### Continuous Integration
See https://hud.pytorch.org/hud/pytorch/executorch/main for the current state of
the CI (continuous integration) jobs. If `main` is broken, consider rebasing
Expand Down
3 changes: 2 additions & 1 deletion kernels/portable/cpu/op_full.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -38,7 +38,8 @@ Tensor& full_out(

ET_SWITCH_SCALAR_OBJ_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
CTYPE_VAL val;
utils::extract_scalar(fill_value, &val);
ET_KERNEL_CHECK(

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I don't think ET_KERNEL_CHECK will do the right thing in a lambda -- it returns from the lambda, not the operator

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any suggestions on how to fix?

i think it's fine, since it will return void from the lambda, but sets context to be fail, with error code InvalidArgument.

ctx, utils::extract_scalar(fill_value, &val), InvalidArgument, );

ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, name, CTYPE_OUT, [&] {
CTYPE_OUT val_casted = static_cast<CTYPE_OUT>(val);
Expand Down
3 changes: 2 additions & 1 deletion kernels/portable/cpu/op_full_like.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -54,7 +54,8 @@ Tensor& full_like_out(

ET_SWITCH_REALB_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
CTYPE_VAL val;
utils::extract_scalar(fill_value, &val);
ET_KERNEL_CHECK(
ctx, utils::extract_scalar(fill_value, &val), InvalidArgument, );

ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, name, CTYPE_OUT, [&] {
CTYPE_OUT val_casted = static_cast<CTYPE_OUT>(val);
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_scatter.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -156,7 +156,7 @@ Tensor& scatter_value_out(

ET_SWITCH_SCALAR_OBJ_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
CTYPE_VAL val;
utils::extract_scalar(value, &val);
ET_KERNEL_CHECK(ctx, utils::extract_scalar(value, &val), InvalidArgument, );

ET_SWITCH_REALHBBF16_TYPES(in.scalar_type(), ctx, name, CTYPE, [&]() {
scatter_value_helper<CTYPE>(in, dim, index, val, out);
Expand Down
16 changes: 7 additions & 9 deletions kernels/portable/cpu/util/broadcast_util.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -215,18 +215,16 @@ ET_NODISCARD Error get_broadcast_target_size(
size_t* out_dim) {
if ET_UNLIKELY (!tensors_are_broadcastable_between(a_size, b_size)) {
#ifdef ET_LOG_ENABLED
const auto a_shape_str = tensor_shape_to_c_string(
executorch::runtime::Span<const Tensor::SizesType>(
a_size.data(), a_size.size()));
const auto b_shape_str = tensor_shape_to_c_string(
executorch::runtime::Span<const Tensor::SizesType>(
b_size.data(), b_size.size()));
#endif
executorch::runtime::Span<const Tensor::SizesType> a_size_span(
a_size.data(), a_size.size());
executorch::runtime::Span<const Tensor::SizesType> b_size_span(
b_size.data(), b_size.size());
ET_LOG(
Error,
"Two input tensors should be broadcastable but got shapes %s and %s.",
a_shape_str.data(),
b_shape_str.data());
tensor_shape_to_c_string(a_size_span).data(),
tensor_shape_to_c_string(b_size_span).data());
#endif

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Thanks!

return executorch::runtime::Error::InvalidArgument;
}

Expand Down
24 changes: 11 additions & 13 deletions runtime/core/portable_type/tensor_impl.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -96,20 +96,18 @@ Error TensorImpl::internal_resize_contiguous(ArrayRef<SizesType> new_sizes) {
case TensorShapeDynamism::STATIC:
if (!std::equal(sizes_, sizes_ + dim_, new_sizes.begin())) {
#ifdef ET_LOG_ENABLED
auto old_sizes_str = executorch::runtime::tensor_shape_to_c_string(
executorch::runtime::Span<const SizesType>(
sizes().data(), sizes().size()));
auto new_sizes_str = executorch::runtime::tensor_shape_to_c_string(
executorch::runtime::Span<const SizesType>(
new_sizes.data(), new_sizes.size()));
#endif

ET_CHECK_OR_RETURN_ERROR(
false,
NotSupported,
executorch::runtime::Span<const SizesType> sizes_span(
sizes().data(), sizes().size());
executorch::runtime::Span<const SizesType> new_sizes_span(
new_sizes.data(), new_sizes.size());
ET_LOG(
Error,
"Attempted to resize a static tensor. Expected shape %s, but received %s.",
old_sizes_str.data(),
new_sizes_str.data())
executorch::runtime::tensor_shape_to_c_string(sizes_span).data(),
executorch::runtime::tensor_shape_to_c_string(new_sizes_span)
.data());
#endif
return executorch::runtime::Error::NotSupported;
}

break;
Expand Down
8 changes: 6 additions & 2 deletions test/build_size_test.sh
Original file line numberDiff line numberDiff line change
Expand Up@@ -11,11 +11,15 @@ set -e
# shellcheck source=/dev/null
source "$(dirname "${BASH_SOURCE[0]}")/../.ci/scripts/utils.sh"

# TODO(#8149): Remove -Wno-sign-compare
# TODO(#8357): Remove -Wno-int-in-bool-context
COMMON_CXXFLAGS="-fno-exceptions -fno-rtti -Wall -Werror -Wno-sign-compare -Wno-unknown-pragmas -Wno-int-in-bool-context"

cmake_install_executorch_lib() {
echo "Installing libexecutorch.a"
clean_executorch_install_folders

CXXFLAGS="-fno-exceptions -fno-rtti" retry cmake -DBUCK2="$BUCK2" \
CXXFLAGS="$COMMON_CXXFLAGS" retry cmake -DBUCK2="$BUCK2" \
-DCMAKE_CXX_STANDARD_REQUIRED=ON \
-DCMAKE_INSTALL_PREFIX=cmake-out \
-DCMAKE_BUILD_TYPE=Release \
Expand All@@ -27,7 +31,7 @@ cmake_install_executorch_lib() {
}

test_cmake_size_test() {
CXXFLAGS="-fno-exceptions -fno-rtti" retry cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=cmake-out -Bcmake-out/test test
CXXFLAGS="$COMMON_CXXFLAGS" retry cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=cmake-out -Bcmake-out/test test

echo "Build size test"
cmake --build cmake-out/test -j9 --config Release
Expand Down
, '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('^' + ".*" + '
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10 changes: 8 additions & 2 deletions CONTRIBUTING.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -215,6 +215,14 @@ must work with threading**

## Testing

### Running Tests Locally

CI is run automatically on all pull requests. However, if you want to run tests locally, here are some example commands (not exhaustive):

- The `sh test/build_size_test.sh` script will compile the C++runtime along with portable kernels.
- The `test/run_oss_cpp_tests.sh` script will build and run C++ tests locally
- Running `pytest` from the root directory will run Python tests locally.

### Writing Tests
To help keep code quality high, ExecuTorch uses a combination of unit tests and
end-to-end (e2e) tests. If you add a new feature or fix a bug, please add tests
Expand All@@ -229,8 +237,6 @@ If it's not clear how to add a test for your PR, take a look at the blame for
the code you're modifying and find an author who has more context. Ask them
for their help in the PR comments.

The `test/run_oss_cpp_tests.sh` script will build and run C++ tests locally.

### Continuous Integration
See https://hud.pytorch.org/hud/pytorch/executorch/main for the current state of
the CI (continuous integration) jobs. If `main` is broken, consider rebasing
Expand Down
3 changes: 2 additions & 1 deletion kernels/portable/cpu/op_full.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -38,7 +38,8 @@ Tensor& full_out(

ET_SWITCH_SCALAR_OBJ_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
CTYPE_VAL val;
utils::extract_scalar(fill_value, &val);
ET_KERNEL_CHECK(

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I don't think ET_KERNEL_CHECK will do the right thing in a lambda -- it returns from the lambda, not the operator

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ContributorAuthor

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any suggestions on how to fix?

i think it's fine, since it will return void from the lambda, but sets context to be fail, with error code InvalidArgument.

ctx, utils::extract_scalar(fill_value, &val), InvalidArgument, );

ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, name, CTYPE_OUT, [&] {
CTYPE_OUT val_casted = static_cast<CTYPE_OUT>(val);
Expand Down
3 changes: 2 additions & 1 deletion kernels/portable/cpu/op_full_like.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -54,7 +54,8 @@ Tensor& full_like_out(

ET_SWITCH_REALB_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
CTYPE_VAL val;
utils::extract_scalar(fill_value, &val);
ET_KERNEL_CHECK(
ctx, utils::extract_scalar(fill_value, &val), InvalidArgument, );

ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, name, CTYPE_OUT, [&] {
CTYPE_OUT val_casted = static_cast<CTYPE_OUT>(val);
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_scatter.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -156,7 +156,7 @@ Tensor& scatter_value_out(

ET_SWITCH_SCALAR_OBJ_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
CTYPE_VAL val;
utils::extract_scalar(value, &val);
ET_KERNEL_CHECK(ctx, utils::extract_scalar(value, &val), InvalidArgument, );

ET_SWITCH_REALHBBF16_TYPES(in.scalar_type(), ctx, name, CTYPE, [&]() {
scatter_value_helper<CTYPE>(in, dim, index, val, out);
Expand Down
16 changes: 7 additions & 9 deletions kernels/portable/cpu/util/broadcast_util.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -215,18 +215,16 @@ ET_NODISCARD Error get_broadcast_target_size(
size_t* out_dim) {
if ET_UNLIKELY (!tensors_are_broadcastable_between(a_size, b_size)) {
#ifdef ET_LOG_ENABLED
const auto a_shape_str = tensor_shape_to_c_string(
executorch::runtime::Span<const Tensor::SizesType>(
a_size.data(), a_size.size()));
const auto b_shape_str = tensor_shape_to_c_string(
executorch::runtime::Span<const Tensor::SizesType>(
b_size.data(), b_size.size()));
#endif
executorch::runtime::Span<const Tensor::SizesType> a_size_span(
a_size.data(), a_size.size());
executorch::runtime::Span<const Tensor::SizesType> b_size_span(
b_size.data(), b_size.size());
ET_LOG(
Error,
"Two input tensors should be broadcastable but got shapes %s and %s.",
a_shape_str.data(),
b_shape_str.data());
tensor_shape_to_c_string(a_size_span).data(),
tensor_shape_to_c_string(b_size_span).data());
#endif

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Thanks!

return executorch::runtime::Error::InvalidArgument;
}

Expand Down
24 changes: 11 additions & 13 deletions runtime/core/portable_type/tensor_impl.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -96,20 +96,18 @@ Error TensorImpl::internal_resize_contiguous(ArrayRef<SizesType> new_sizes) {
case TensorShapeDynamism::STATIC:
if (!std::equal(sizes_, sizes_ + dim_, new_sizes.begin())) {
#ifdef ET_LOG_ENABLED
auto old_sizes_str = executorch::runtime::tensor_shape_to_c_string(
executorch::runtime::Span<const SizesType>(
sizes().data(), sizes().size()));
auto new_sizes_str = executorch::runtime::tensor_shape_to_c_string(
executorch::runtime::Span<const SizesType>(
new_sizes.data(), new_sizes.size()));
#endif

ET_CHECK_OR_RETURN_ERROR(
false,
NotSupported,
executorch::runtime::Span<const SizesType> sizes_span(
sizes().data(), sizes().size());
executorch::runtime::Span<const SizesType> new_sizes_span(
new_sizes.data(), new_sizes.size());
ET_LOG(
Error,
"Attempted to resize a static tensor. Expected shape %s, but received %s.",
old_sizes_str.data(),
new_sizes_str.data())
executorch::runtime::tensor_shape_to_c_string(sizes_span).data(),
executorch::runtime::tensor_shape_to_c_string(new_sizes_span)
.data());
#endif
return executorch::runtime::Error::NotSupported;
}

break;
Expand Down
8 changes: 6 additions & 2 deletions test/build_size_test.sh
Original file line numberDiff line numberDiff line change
Expand Up@@ -11,11 +11,15 @@ set -e
# shellcheck source=/dev/null
source "$(dirname "${BASH_SOURCE[0]}")/../.ci/scripts/utils.sh"

# TODO(#8149): Remove -Wno-sign-compare
# TODO(#8357): Remove -Wno-int-in-bool-context
COMMON_CXXFLAGS="-fno-exceptions -fno-rtti -Wall -Werror -Wno-sign-compare -Wno-unknown-pragmas -Wno-int-in-bool-context"

cmake_install_executorch_lib() {
echo "Installing libexecutorch.a"
clean_executorch_install_folders

CXXFLAGS="-fno-exceptions -fno-rtti" retry cmake -DBUCK2="$BUCK2" \
CXXFLAGS="$COMMON_CXXFLAGS" retry cmake -DBUCK2="$BUCK2" \
-DCMAKE_CXX_STANDARD_REQUIRED=ON \
-DCMAKE_INSTALL_PREFIX=cmake-out \
-DCMAKE_BUILD_TYPE=Release \
Expand All@@ -27,7 +31,7 @@ cmake_install_executorch_lib() {
}

test_cmake_size_test() {
CXXFLAGS="-fno-exceptions -fno-rtti" retry cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=cmake-out -Bcmake-out/test test
CXXFLAGS="$COMMON_CXXFLAGS" retry cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=cmake-out -Bcmake-out/test test

echo "Build size test"
cmake --build cmake-out/test -j9 --config Release
Expand Down
, '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('^' + ".*" + '
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10 changes: 8 additions & 2 deletions CONTRIBUTING.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -215,6 +215,14 @@ must work with threading**

## Testing

### Running Tests Locally

CI is run automatically on all pull requests. However, if you want to run tests locally, here are some example commands (not exhaustive):

- The `sh test/build_size_test.sh` script will compile the C++runtime along with portable kernels.
- The `test/run_oss_cpp_tests.sh` script will build and run C++ tests locally
- Running `pytest` from the root directory will run Python tests locally.

### Writing Tests
To help keep code quality high, ExecuTorch uses a combination of unit tests and
end-to-end (e2e) tests. If you add a new feature or fix a bug, please add tests
Expand All@@ -229,8 +237,6 @@ If it's not clear how to add a test for your PR, take a look at the blame for
the code you're modifying and find an author who has more context. Ask them
for their help in the PR comments.

The `test/run_oss_cpp_tests.sh` script will build and run C++ tests locally.

### Continuous Integration
See https://hud.pytorch.org/hud/pytorch/executorch/main for the current state of
the CI (continuous integration) jobs. If `main` is broken, consider rebasing
Expand Down
3 changes: 2 additions & 1 deletion kernels/portable/cpu/op_full.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -38,7 +38,8 @@ Tensor& full_out(

ET_SWITCH_SCALAR_OBJ_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
CTYPE_VAL val;
utils::extract_scalar(fill_value, &val);
ET_KERNEL_CHECK(

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I don't think ET_KERNEL_CHECK will do the right thing in a lambda -- it returns from the lambda, not the operator

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any suggestions on how to fix?

i think it's fine, since it will return void from the lambda, but sets context to be fail, with error code InvalidArgument.

ctx, utils::extract_scalar(fill_value, &val), InvalidArgument, );

ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, name, CTYPE_OUT, [&] {
CTYPE_OUT val_casted = static_cast<CTYPE_OUT>(val);
Expand Down
3 changes: 2 additions & 1 deletion kernels/portable/cpu/op_full_like.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -54,7 +54,8 @@ Tensor& full_like_out(

ET_SWITCH_REALB_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
CTYPE_VAL val;
utils::extract_scalar(fill_value, &val);
ET_KERNEL_CHECK(
ctx, utils::extract_scalar(fill_value, &val), InvalidArgument, );

ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, name, CTYPE_OUT, [&] {
CTYPE_OUT val_casted = static_cast<CTYPE_OUT>(val);
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_scatter.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -156,7 +156,7 @@ Tensor& scatter_value_out(

ET_SWITCH_SCALAR_OBJ_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
CTYPE_VAL val;
utils::extract_scalar(value, &val);
ET_KERNEL_CHECK(ctx, utils::extract_scalar(value, &val), InvalidArgument, );

ET_SWITCH_REALHBBF16_TYPES(in.scalar_type(), ctx, name, CTYPE, [&]() {
scatter_value_helper<CTYPE>(in, dim, index, val, out);
Expand Down
16 changes: 7 additions & 9 deletions kernels/portable/cpu/util/broadcast_util.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -215,18 +215,16 @@ ET_NODISCARD Error get_broadcast_target_size(
size_t* out_dim) {
if ET_UNLIKELY (!tensors_are_broadcastable_between(a_size, b_size)) {
#ifdef ET_LOG_ENABLED
const auto a_shape_str = tensor_shape_to_c_string(
executorch::runtime::Span<const Tensor::SizesType>(
a_size.data(), a_size.size()));
const auto b_shape_str = tensor_shape_to_c_string(
executorch::runtime::Span<const Tensor::SizesType>(
b_size.data(), b_size.size()));
#endif
executorch::runtime::Span<const Tensor::SizesType> a_size_span(
a_size.data(), a_size.size());
executorch::runtime::Span<const Tensor::SizesType> b_size_span(
b_size.data(), b_size.size());
ET_LOG(
Error,
"Two input tensors should be broadcastable but got shapes %s and %s.",
a_shape_str.data(),
b_shape_str.data());
tensor_shape_to_c_string(a_size_span).data(),
tensor_shape_to_c_string(b_size_span).data());
#endif

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Thanks!

return executorch::runtime::Error::InvalidArgument;
}

Expand Down
24 changes: 11 additions & 13 deletions runtime/core/portable_type/tensor_impl.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -96,20 +96,18 @@ Error TensorImpl::internal_resize_contiguous(ArrayRef<SizesType> new_sizes) {
case TensorShapeDynamism::STATIC:
if (!std::equal(sizes_, sizes_ + dim_, new_sizes.begin())) {
#ifdef ET_LOG_ENABLED
auto old_sizes_str = executorch::runtime::tensor_shape_to_c_string(
executorch::runtime::Span<const SizesType>(
sizes().data(), sizes().size()));
auto new_sizes_str = executorch::runtime::tensor_shape_to_c_string(
executorch::runtime::Span<const SizesType>(
new_sizes.data(), new_sizes.size()));
#endif

ET_CHECK_OR_RETURN_ERROR(
false,
NotSupported,
executorch::runtime::Span<const SizesType> sizes_span(
sizes().data(), sizes().size());
executorch::runtime::Span<const SizesType> new_sizes_span(
new_sizes.data(), new_sizes.size());
ET_LOG(
Error,
"Attempted to resize a static tensor. Expected shape %s, but received %s.",
old_sizes_str.data(),
new_sizes_str.data())
executorch::runtime::tensor_shape_to_c_string(sizes_span).data(),
executorch::runtime::tensor_shape_to_c_string(new_sizes_span)
.data());
#endif
return executorch::runtime::Error::NotSupported;
}

break;
Expand Down
8 changes: 6 additions & 2 deletions test/build_size_test.sh
Original file line numberDiff line numberDiff line change
Expand Up@@ -11,11 +11,15 @@ set -e
# shellcheck source=/dev/null
source "$(dirname "${BASH_SOURCE[0]}")/../.ci/scripts/utils.sh"

# TODO(#8149): Remove -Wno-sign-compare
# TODO(#8357): Remove -Wno-int-in-bool-context
COMMON_CXXFLAGS="-fno-exceptions -fno-rtti -Wall -Werror -Wno-sign-compare -Wno-unknown-pragmas -Wno-int-in-bool-context"

cmake_install_executorch_lib() {
echo "Installing libexecutorch.a"
clean_executorch_install_folders

CXXFLAGS="-fno-exceptions -fno-rtti" retry cmake -DBUCK2="$BUCK2" \
CXXFLAGS="$COMMON_CXXFLAGS" retry cmake -DBUCK2="$BUCK2" \
-DCMAKE_CXX_STANDARD_REQUIRED=ON \
-DCMAKE_INSTALL_PREFIX=cmake-out \
-DCMAKE_BUILD_TYPE=Release \
Expand All@@ -27,7 +31,7 @@ cmake_install_executorch_lib() {
}

test_cmake_size_test() {
CXXFLAGS="-fno-exceptions -fno-rtti" retry cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=cmake-out -Bcmake-out/test test
CXXFLAGS="$COMMON_CXXFLAGS" retry cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=cmake-out -Bcmake-out/test test

echo "Build size test"
cmake --build cmake-out/test -j9 --config Release
Expand Down
, '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); } })(); })();
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10 changes: 8 additions & 2 deletions CONTRIBUTING.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -215,6 +215,14 @@ must work with threading**

## Testing

### Running Tests Locally

CI is run automatically on all pull requests. However, if you want to run tests locally, here are some example commands (not exhaustive):

- The `sh test/build_size_test.sh` script will compile the C++runtime along with portable kernels.
- The `test/run_oss_cpp_tests.sh` script will build and run C++ tests locally
- Running `pytest` from the root directory will run Python tests locally.

### Writing Tests
To help keep code quality high, ExecuTorch uses a combination of unit tests and
end-to-end (e2e) tests. If you add a new feature or fix a bug, please add tests
Expand All@@ -229,8 +237,6 @@ If it's not clear how to add a test for your PR, take a look at the blame for
the code you're modifying and find an author who has more context. Ask them
for their help in the PR comments.

The `test/run_oss_cpp_tests.sh` script will build and run C++ tests locally.

### Continuous Integration
See https://hud.pytorch.org/hud/pytorch/executorch/main for the current state of
the CI (continuous integration) jobs. If `main` is broken, consider rebasing
Expand Down
3 changes: 2 additions & 1 deletion kernels/portable/cpu/op_full.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -38,7 +38,8 @@ Tensor& full_out(

ET_SWITCH_SCALAR_OBJ_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
CTYPE_VAL val;
utils::extract_scalar(fill_value, &val);
ET_KERNEL_CHECK(

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I don't think ET_KERNEL_CHECK will do the right thing in a lambda -- it returns from the lambda, not the operator

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any suggestions on how to fix?

i think it's fine, since it will return void from the lambda, but sets context to be fail, with error code InvalidArgument.

ctx, utils::extract_scalar(fill_value, &val), InvalidArgument, );

ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, name, CTYPE_OUT, [&] {
CTYPE_OUT val_casted = static_cast<CTYPE_OUT>(val);
Expand Down
3 changes: 2 additions & 1 deletion kernels/portable/cpu/op_full_like.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -54,7 +54,8 @@ Tensor& full_like_out(

ET_SWITCH_REALB_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
CTYPE_VAL val;
utils::extract_scalar(fill_value, &val);
ET_KERNEL_CHECK(
ctx, utils::extract_scalar(fill_value, &val), InvalidArgument, );

ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, name, CTYPE_OUT, [&] {
CTYPE_OUT val_casted = static_cast<CTYPE_OUT>(val);
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_scatter.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -156,7 +156,7 @@ Tensor& scatter_value_out(

ET_SWITCH_SCALAR_OBJ_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
CTYPE_VAL val;
utils::extract_scalar(value, &val);
ET_KERNEL_CHECK(ctx, utils::extract_scalar(value, &val), InvalidArgument, );

ET_SWITCH_REALHBBF16_TYPES(in.scalar_type(), ctx, name, CTYPE, [&]() {
scatter_value_helper<CTYPE>(in, dim, index, val, out);
Expand Down
16 changes: 7 additions & 9 deletions kernels/portable/cpu/util/broadcast_util.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -215,18 +215,16 @@ ET_NODISCARD Error get_broadcast_target_size(
size_t* out_dim) {
if ET_UNLIKELY (!tensors_are_broadcastable_between(a_size, b_size)) {
#ifdef ET_LOG_ENABLED
const auto a_shape_str = tensor_shape_to_c_string(
executorch::runtime::Span<const Tensor::SizesType>(
a_size.data(), a_size.size()));
const auto b_shape_str = tensor_shape_to_c_string(
executorch::runtime::Span<const Tensor::SizesType>(
b_size.data(), b_size.size()));
#endif
executorch::runtime::Span<const Tensor::SizesType> a_size_span(
a_size.data(), a_size.size());
executorch::runtime::Span<const Tensor::SizesType> b_size_span(
b_size.data(), b_size.size());
ET_LOG(
Error,
"Two input tensors should be broadcastable but got shapes %s and %s.",
a_shape_str.data(),
b_shape_str.data());
tensor_shape_to_c_string(a_size_span).data(),
tensor_shape_to_c_string(b_size_span).data());
#endif

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Thanks!

return executorch::runtime::Error::InvalidArgument;
}

Expand Down
24 changes: 11 additions & 13 deletions runtime/core/portable_type/tensor_impl.cpp
Original file line numberDiff line numberDiff line change
Expand Up@@ -96,20 +96,18 @@ Error TensorImpl::internal_resize_contiguous(ArrayRef<SizesType> new_sizes) {
case TensorShapeDynamism::STATIC:
if (!std::equal(sizes_, sizes_ + dim_, new_sizes.begin())) {
#ifdef ET_LOG_ENABLED
auto old_sizes_str = executorch::runtime::tensor_shape_to_c_string(
executorch::runtime::Span<const SizesType>(
sizes().data(), sizes().size()));
auto new_sizes_str = executorch::runtime::tensor_shape_to_c_string(
executorch::runtime::Span<const SizesType>(
new_sizes.data(), new_sizes.size()));
#endif

ET_CHECK_OR_RETURN_ERROR(
false,
NotSupported,
executorch::runtime::Span<const SizesType> sizes_span(
sizes().data(), sizes().size());
executorch::runtime::Span<const SizesType> new_sizes_span(
new_sizes.data(), new_sizes.size());
ET_LOG(
Error,
"Attempted to resize a static tensor. Expected shape %s, but received %s.",
old_sizes_str.data(),
new_sizes_str.data())
executorch::runtime::tensor_shape_to_c_string(sizes_span).data(),
executorch::runtime::tensor_shape_to_c_string(new_sizes_span)
.data());
#endif
return executorch::runtime::Error::NotSupported;
}

break;
Expand Down
8 changes: 6 additions & 2 deletions test/build_size_test.sh
Original file line numberDiff line numberDiff line change
Expand Up@@ -11,11 +11,15 @@ set -e
# shellcheck source=/dev/null
source "$(dirname "${BASH_SOURCE[0]}")/../.ci/scripts/utils.sh"

# TODO(#8149): Remove -Wno-sign-compare
# TODO(#8357): Remove -Wno-int-in-bool-context
COMMON_CXXFLAGS="-fno-exceptions -fno-rtti -Wall -Werror -Wno-sign-compare -Wno-unknown-pragmas -Wno-int-in-bool-context"

cmake_install_executorch_lib() {
echo "Installing libexecutorch.a"
clean_executorch_install_folders

CXXFLAGS="-fno-exceptions -fno-rtti" retry cmake -DBUCK2="$BUCK2" \
CXXFLAGS="$COMMON_CXXFLAGS" retry cmake -DBUCK2="$BUCK2" \
-DCMAKE_CXX_STANDARD_REQUIRED=ON \
-DCMAKE_INSTALL_PREFIX=cmake-out \
-DCMAKE_BUILD_TYPE=Release \
Expand All@@ -27,7 +31,7 @@ cmake_install_executorch_lib() {
}

test_cmake_size_test() {
CXXFLAGS="-fno-exceptions -fno-rtti" retry cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=cmake-out -Bcmake-out/test test
CXXFLAGS="$COMMON_CXXFLAGS" retry cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=cmake-out -Bcmake-out/test test

echo "Build size test"
cmake --build cmake-out/test -j9 --config Release
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