[Cherry-pick] Deprecate torchscript frontend #3374
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There are some changes that do not conform to C++ style guidelines:
diff --git a/home/runner/work/TensorRT/TensorRT/cpp/include/torch_tensorrt/ptq.h b/tmp/changes.txt
index 50f63f8..3a05b3b 100644
--- a/home/runner/work/TensorRT/TensorRT/cpp/include/torch_tensorrt/ptq.h
+++ b/tmp/changes.txt
@@ -59,7 +59,7 @@ class Int8Calibrator : Algorithm {
* calibration cache
* @param use_cache : bool - Whether to use the cache (if it exists)
*/
- Int8Calibrator(DataLoaderUniquePtr dataloader, const std::string& cache_file_path, bool use_cache)
+ Int8Calibrator(DataLoaderUniquePtr dataloader, const std::string& cache_file_path, bool use_cache)
: dataloader_(dataloader.get()), cache_file_path_(cache_file_path), use_cache_(use_cache) {
for (auto batch : *dataloader_) {
batched_data_.push_back(batch.data);
@@ -309,11 +309,10 @@ class Int8CacheCalibrator : Algorithm {
* @return Int8Calibrator<Algorithm, DataLoader>
*/
template <typename Algorithm = nvinfer1::IInt8EntropyCalibrator2, typename DataLoader>
-[[deprecated("Int8 PTQ Calibrator has been deprecated by TensorRT, please plan on porting to a NVIDIA Model Optimizer Toolkit based workflow. See: https://pytorch.org/TensorRT/tutorials/_rendered_examples/dynamo/vgg16_ptq.html for more details")]]
-inline Int8Calibrator<Algorithm, DataLoader> make_int8_calibrator(
- DataLoader dataloader,
- const std::string& cache_file_path,
- bool use_cache) {
+[[deprecated("Int8 PTQ Calibrator has been deprecated by TensorRT, please plan on porting to a NVIDIA Model Optimizer Toolkit based workflow. See: https://pytorch.org/TensorRT/tutorials/_rendered_examples/dynamo/vgg16_ptq.html for more details")]] inline Int8Calibrator<
+ Algorithm,
+ DataLoader>
+make_int8_calibrator(DataLoader dataloader, const std::string& cache_file_path, bool use_cache) {
return Int8Calibrator<Algorithm, DataLoader>(std::move(dataloader), cache_file_path, use_cache);
}
@@ -344,8 +343,9 @@ inline Int8Calibrator<Algorithm, DataLoader> make_int8_calibrator(
* @return Int8CacheCalibrator<Algorithm>
*/
template <typename Algorithm = nvinfer1::IInt8EntropyCalibrator2>
-[[deprecated("Int8 PTQ Calibrator has been deprecated by TensorRT, please plan on porting to a NVIDIA Model Optimizer Toolkit based workflow. See: https://pytorch.org/TensorRT/tutorials/_rendered_examples/dynamo/vgg16_ptq.html for more details")]]
-inline Int8CacheCalibrator<Algorithm> make_int8_cache_calibrator(const std::string& cache_file_path) {
+[[deprecated("Int8 PTQ Calibrator has been deprecated by TensorRT, please plan on porting to a NVIDIA Model Optimizer Toolkit based workflow. See: https://pytorch.org/TensorRT/tutorials/_rendered_examples/dynamo/vgg16_ptq.html for more details")]] inline Int8CacheCalibrator<
+ Algorithm>
+make_int8_cache_calibrator(const std::string& cache_file_path) {
return Int8CacheCalibrator<Algorithm>(cache_file_path);
}
ERROR: Some files do not conform to style guidelines
There was a problem hiding this comment.
There are some changes that do not conform to Python style guidelines:
--- /home/runner/work/TensorRT/TensorRT/docs/_downloads/0e30a6276601af7e5fc4d5166e2e3d37/torch_compile_advanced_usage.py 2025-01-31 02:26:30.237133+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/0e30a6276601af7e5fc4d5166e2e3d37/torch_compile_advanced_usage.py 2025-01-31 02:26:50.006267+00:00
@@ -2,11 +2,12 @@
.. _torch_compile_advanced_usage:
Torch Compile Advanced Usage
======================================================
-This interactive script is intended as an overview of the process by which `torch_tensorrt.compile(..., ir="torch_compile", ...)` works, and how it integrates with the `torch.compile` API."""
+This interactive script is intended as an overview of the process by which `torch_tensorrt.compile(..., ir="torch_compile", ...)` works, and how it integrates with the `torch.compile` API.
+"""
# %%
# Imports and Model Definition
# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
--- /home/runner/work/TensorRT/TensorRT/docs/_downloads/2a9ac10f2667047a7f398d1593b7ca33/torch_export_gpt2.py 2025-01-31 02:26:30.238133+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/2a9ac10f2667047a7f398d1593b7ca33/torch_export_gpt2.py 2025-01-31 02:26:50.027290+00:00
@@ -2,11 +2,12 @@
.. _torch_export_gpt2:
Compiling GPT2 using the dynamo backend
==========================================================
-This script illustrates Torch-TensorRT workflow with dynamo backend on popular GPT2 model."""
+This script illustrates Torch-TensorRT workflow with dynamo backend on popular GPT2 model.
+"""
# %%
# Imports and Model Definition
# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
import torch
--- /home/runner/work/TensorRT/TensorRT/docs/_downloads/418941399c146271a7b7728ba3059960/dynamo_compile_resnet_example.py 2025-01-31 02:26:30.238133+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/418941399c146271a7b7728ba3059960/dynamo_compile_resnet_example.py 2025-01-31 02:26:50.058988+00:00
@@ -2,11 +2,12 @@
.. _dynamo_compile_resnet:
Compiling ResNet using the Torch-TensorRT Dyanmo Frontend
==========================================================
-This interactive script is intended as a sample of the `torch_tensorrt.dynamo.compile` workflow on a ResNet model."""
+This interactive script is intended as a sample of the `torch_tensorrt.dynamo.compile` workflow on a ResNet model.
+"""
# %%
# Imports and Model Definition
# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
--- /home/runner/work/TensorRT/TensorRT/docs/_downloads/3d4d74f6636d986f33167154f6553961/torch_export_cudagraphs.py 2025-01-31 02:26:30.238133+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/3d4d74f6636d986f33167154f6553961/torch_export_cudagraphs.py 2025-01-31 02:26:50.084280+00:00
@@ -2,11 +2,12 @@
.. _torch_export_cudagraphs:
Torch Export with Cudagraphs
======================================================
-This interactive script is intended as an overview of the process by which the Torch-TensorRT Cudagraphs integration can be used in the `ir="dynamo"` path. The functionality works similarly in the `torch.compile` path as well."""
+This interactive script is intended as an overview of the process by which the Torch-TensorRT Cudagraphs integration can be used in the `ir="dynamo"` path. The functionality works similarly in the `torch.compile` path as well.
+"""
# %%
# Imports and Model Definition
# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
--- /home/runner/work/TensorRT/TensorRT/docs/_downloads/7b7004dc2ea6f839be532665e16e0426/torch_export_llama2.py 2025-01-31 02:26:30.241133+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/7b7004dc2ea6f839be532665e16e0426/torch_export_llama2.py 2025-01-31 02:26:50.103597+00:00
@@ -2,11 +2,12 @@
.. _torch_export_llama2:
Compiling Llama2 using the dynamo backend
==========================================================
-This script illustrates Torch-TensorRT workflow with dynamo backend on popular Llama2 model."""
+This script illustrates Torch-TensorRT workflow with dynamo backend on popular Llama2 model.
+"""
# %%
# Imports and Model Definition
# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
import torch
--- /home/runner/work/TensorRT/TensorRT/docs/_downloads/e1ef5a42560a98a132f56a79d0b66f79/dynamo_compile_advanced_usage.py 2025-01-31 02:26:30.243133+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/e1ef5a42560a98a132f56a79d0b66f79/dynamo_compile_advanced_usage.py 2025-01-31 02:26:50.187422+00:00
@@ -2,11 +2,12 @@
.. _dynamo_compile_advanced_usage:
Dynamo Compile Advanced Usage
======================================================
-This interactive script is intended as an overview of the process by which `torch_tensorrt.dynamo.compile` works, and how it integrates with the new `torch.compile` API."""
+This interactive script is intended as an overview of the process by which `torch_tensorrt.dynamo.compile` works, and how it integrates with the new `torch.compile` API.
+"""
# %%
# Imports and Model Definition
# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
--- /home/runner/work/TensorRT/TensorRT/docs/_downloads/dfa60e8f9850fd7761f3e7da81304d32/torch_compile_transformers_example.py 2025-01-31 02:26:30.243133+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/dfa60e8f9850fd7761f3e7da81304d32/torch_compile_transformers_example.py 2025-01-31 02:26:50.192465+00:00
@@ -2,11 +2,12 @@
.. _torch_compile_transformer:
Compiling BERT using the `torch.compile` backend
==============================================================
-This interactive script is intended as a sample of the Torch-TensorRT workflow with `torch.compile` on a BERT model."""
+This interactive script is intended as a sample of the Torch-TensorRT workflow with `torch.compile` on a BERT model.
+"""
# %%
# Imports and Model Definition
# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
--- /home/runner/work/TensorRT/TensorRT/docs/_downloads/d6e1bb6ec5f884994554d9d12e37a0f6/torch_compile_resnet_example.py 2025-01-31 02:26:30.243133+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/d6e1bb6ec5f884994554d9d12e37a0f6/torch_compile_resnet_example.py 2025-01-31 02:26:50.199303+00:00
@@ -2,11 +2,12 @@
.. _torch_compile_resnet:
Compiling ResNet with dynamic shapes using the `torch.compile` backend
==========================================================
-This interactive script is intended as a sample of the Torch-TensorRT workflow with `torch.compile` on a ResNet model."""
+This interactive script is intended as a sample of the Torch-TensorRT workflow with `torch.compile` on a ResNet model.
+"""
# %%
# Imports and Model Definition
# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
--- /home/runner/work/TensorRT/TensorRT/docs/v1.4.0/_downloads/418941399c146271a7b7728ba3059960/dynamo_compile_resnet_example.py 2025-01-31 02:26:30.691131+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/v1.4.0/_downloads/418941399c146271a7b7728ba3059960/dynamo_compile_resnet_example.py 2025-01-31 02:26:50.237203+00:00
@@ -2,11 +2,12 @@
.. _dynamo_compile_resnet:
Compiling ResNet using the Torch-TensorRT Dyanmo Frontend
==========================================================
-This interactive script is intended as a sample of the `torch_tensorrt.dynamo.compile` workflow on a ResNet model."""
+This interactive script is intended as a sample of the `torch_tensorrt.dynamo.compile` workflow on a ResNet model.
+"""
# %%
# Imports and Model Definition
# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
--- /home/runner/work/TensorRT/TensorRT/docs/_downloads/e550c5f53cc43e11aa6da8cfb79b54df/dynamo_compile_transformers_example.py 2025-01-31 02:26:30.243133+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/e550c5f53cc43e11aa6da8cfb79b54df/dynamo_compile_transformers_example.py 2025-01-31 02:26:50.237258+00:00
@@ -2,11 +2,12 @@
.. _torch_compile_transformer:
Compiling a Transformer using torch.compile and TensorRT
==============================================================
-This interactive script is intended as a sample of the `torch_tensorrt.dynamo.compile` workflow on a transformer-based model."""
+This interactive script is intended as a sample of the `torch_tensorrt.dynamo.compile` workflow on a transformer-based model.
+"""
# %%
# Imports and Model Definition
# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
--- /home/runner/work/TensorRT/TensorRT/docs/v1.4.0/_downloads/e1ef5a42560a98a132f56a79d0b66f79/dynamo_compile_advanced_usage.py 2025-01-31 02:26:30.691131+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/v1.4.0/_downloads/e1ef5a42560a98a132f56a79d0b66f79/dynamo_compile_advanced_usage.py 2025-01-31 02:26:50.254032+00:00
@@ -2,11 +2,12 @@
.. _dynamo_compile_advanced_usage:
Dynamo Compile Advanced Usage
======================================================
-This interactive script is intended as an overview of the process by which `torch_tensorrt.dynamo.compile` works, and how it integrates with the new `torch.compile` API."""
+This interactive script is intended as an overview of the process by which `torch_tensorrt.dynamo.compile` works, and how it integrates with the new `torch.compile` API.
+"""
# %%
# Imports and Model Definition
# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
--- /home/runner/work/TensorRT/TensorRT/docs/v1.4.0/_downloads/e550c5f53cc43e11aa6da8cfb79b54df/dynamo_compile_transformers_example.py 2025-01-31 02:26:30.691131+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/v1.4.0/_downloads/e550c5f53cc43e11aa6da8cfb79b54df/dynamo_compile_transformers_example.py 2025-01-31 02:26:50.281137+00:00
@@ -2,11 +2,12 @@
.. _torch_compile_transformer:
Compiling a Transformer using torch.compile and TensorRT
==============================================================
-This interactive script is intended as a sample of the `torch_tensorrt.dynamo.compile` workflow on a transformer-based model."""
+This interactive script is intended as a sample of the `torch_tensorrt.dynamo.compile` workflow on a transformer-based model.
+"""
# %%
# Imports and Model Definition
# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
--- /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_compile_advanced_usage.py 2025-01-31 02:26:30.721131+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_compile_advanced_usage.py 2025-01-31 02:26:50.417577+00:00
@@ -2,11 +2,12 @@
.. _torch_compile_advanced_usage:
Torch Compile Advanced Usage
======================================================
-This interactive script is intended as an overview of the process by which `torch_tensorrt.compile(..., ir="torch_compile", ...)` works, and how it integrates with the `torch.compile` API."""
+This interactive script is intended as an overview of the process by which `torch_tensorrt.compile(..., ir="torch_compile", ...)` works, and how it integrates with the `torch.compile` API.
+"""
# %%
# Imports and Model Definition
# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
--- /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_compile_resnet_example.py 2025-01-31 02:26:30.721131+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_compile_resnet_example.py 2025-01-31 02:26:50.467168+00:00
@@ -2,11 +2,12 @@
.. _torch_compile_resnet:
Compiling ResNet with dynamic shapes using the `torch.compile` backend
==========================================================
-This interactive script is intended as a sample of the Torch-TensorRT workflow with `torch.compile` on a ResNet model."""
+This interactive script is intended as a sample of the Torch-TensorRT workflow with `torch.compile` on a ResNet model.
+"""
# %%
# Imports and Model Definition
# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
--- /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_compile_transformers_example.py 2025-01-31 02:26:30.721131+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_compile_transformers_example.py 2025-01-31 02:26:50.471173+00:00
@@ -2,11 +2,12 @@
.. _torch_compile_transformer:
Compiling BERT using the `torch.compile` backend
==============================================================
-This interactive script is intended as a sample of the Torch-TensorRT workflow with `torch.compile` on a BERT model."""
+This interactive script is intended as a sample of the Torch-TensorRT workflow with `torch.compile` on a BERT model.
+"""
# %%
# Imports and Model Definition
# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
--- /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_export_gpt2.py 2025-01-31 02:26:30.721131+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_export_gpt2.py 2025-01-31 02:26:50.484458+00:00
@@ -2,11 +2,12 @@
.. _torch_export_gpt2:
Compiling GPT2 using the dynamo backend
==========================================================
-This script illustrates Torch-TensorRT workflow with dynamo backend on popular GPT2 model."""
+This script illustrates Torch-TensorRT workflow with dynamo backend on popular GPT2 model.
+"""
# %%
# Imports and Model Definition
# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
import torch
--- /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_export_cudagraphs.py 2025-01-31 02:26:30.721131+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_export_cudagraphs.py 2025-01-31 02:26:50.492545+00:00
@@ -2,11 +2,12 @@
.. _torch_export_cudagraphs:
Torch Export with Cudagraphs
======================================================
-This interactive script is intended as an overview of the process by which the Torch-TensorRT Cudagraphs integration can be used in the `ir="dynamo"` path. The functionality works similarly in the `torch.compile` path as well."""
+This interactive script is intended as an overview of the process by which the Torch-TensorRT Cudagraphs integration can be used in the `ir="dynamo"` path. The functionality works similarly in the `torch.compile` path as well.
+"""
# %%
# Imports and Model Definition
# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
--- /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_export_llama2.py 2025-01-31 02:26:30.721131+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_export_llama2.py 2025-01-31 02:26:50.514204+00:00
@@ -2,11 +2,12 @@
.. _torch_export_llama2:
Compiling Llama2 using the dynamo backend
==========================================================
-This script illustrates Torch-TensorRT workflow with dynamo backend on popular Llama2 model."""
+This script illustrates Torch-TensorRT workflow with dynamo backend on popular Llama2 model.
+"""
# %%
# Imports and Model Definition
# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
import torch
--- /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/_Input.py 2025-01-31 02:26:30.730131+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/_Input.py 2025-01-31 02:26:50.998357+00:00
@@ -259,11 +259,11 @@
else:
return False
@staticmethod
def _parse_tensor_domain(
- domain: Optional[Tuple[float, float]]
+ domain: Optional[Tuple[float, float]],
) -> Tuple[float, float]:
"""
Produce a tuple of integers which specifies a tensor domain in the interval format: [lo, hi)
Args:
--- /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/conversion/_TRTBuilderMonitor.py 2025-01-31 02:26:30.732131+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/conversion/_TRTBuilderMonitor.py 2025-01-31 02:26:51.236604+00:00
@@ -51,17 +51,17 @@
def _redraw(self, *, blank_lines: int = 0) -> None:
if self._render:
def clear_line() -> None:
- print("\x1B[2K", end="")
+ print("\x1b[2K", end="")
def move_to_start_of_line() -> None:
- print("\x1B[0G", end="")
+ print("\x1b[0G", end="")
def move_cursor_up(lines: int) -> None:
- print("\x1B[{}A".format(lines), end="")
+ print("\x1b[{}A".format(lines), end="")
def progress_bar(steps: int, num_steps: int) -> str:
INNER_WIDTH = 10
completed_bar_chars = int(INNER_WIDTH * steps / float(num_steps))
return "[{}{}]".format(
--- /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/_enums.py 2025-01-31 02:26:30.731131+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/_enums.py 2025-01-31 02:26:51.369499+00:00
@@ -1198,11 +1198,11 @@
"Provided unsupported source type for EngineCapability conversion"
)
@classmethod
def try_from(
- c: Union[trt.EngineCapability, EngineCapability]
+ c: Union[trt.EngineCapability, EngineCapability],
) -> Optional[EngineCapability]:
"""Create a Torch-TensorRT engine capability enum from a TensorRT engine capability enum.
Takes a device type enum from tensorrt and create a ``torch_tensorrt.EngineCapability``.
If the source is not supported or the engine capability level is not supported in Torch-TensorRT,
--- /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/conversion/impl/activation/ops.py 2025-01-31 02:26:30.733131+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/conversion/impl/activation/ops.py 2025-01-31 02:26:51.635020+00:00
@@ -245,11 +245,11 @@
beta: float,
) -> TRTTensor:
operation_type = trt.ActivationType.HARD_SIGMOID
def hard_sigmoid_dyn_range_fn(
- dyn_range: Tuple[float, float]
+ dyn_range: Tuple[float, float],
) -> Tuple[float, float]:
def hard_sigmoid_fn(x: float) -> float:
return max(0, min(1, alpha * x + beta))
return hard_sigmoid_fn(dyn_range[0]), hard_sigmoid_fn(dyn_range[1])
@@ -308,11 +308,11 @@
alpha: float,
) -> TRTTensor:
operation_type = trt.ActivationType.THRESHOLDED_RELU
def thresholded_relu_dyn_range_fn(
- dyn_range: Tuple[float, float]
+ dyn_range: Tuple[float, float],
) -> Tuple[float, float]:
def thresholded_relu_fn(x: float) -> float:
return x if x > alpha else 0
return thresholded_relu_fn(dyn_range[0]), thresholded_relu_fn(dyn_range[1])
--- /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/utils.py 2025-01-31 02:26:30.737131+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/utils.py 2025-01-31 02:26:53.097324+00:00
@@ -463,11 +463,11 @@
else:
return torch.device(device)
def to_torch_tensorrt_device(
- device: Optional[Union[Device, torch.device, str]]
+ device: Optional[Union[Device, torch.device, str]],
) -> Device:
"""Cast a device-type to torch_tensorrt.Device
Returns the corresponding torch_tensorrt.Device
"""
--- /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/fx/test/converters/acc_op/test_where.py 2025-01-31 02:26:30.742131+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/fx/test/converters/acc_op/test_where.py 2025-01-31 02:26:53.978204+00:00
@@ -99,11 +99,11 @@
self.y = torch.ones(y_shape)
def forward(self, condition):
return torch.where(condition, self.x, self.y)
- inputs = [(torch.randn(condition_shape) > 0)]
+ inputs = [torch.randn(condition_shape) > 0]
self.run_test(
Where(x_shape, y_shape),
inputs,
expected_ops={acc_ops.where},
test_implicit_batch_dim=False,
--- /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/fx/tracer/acc_tracer/acc_tracer.py 2025-01-31 02:26:30.746131+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/fx/tracer/acc_tracer/acc_tracer.py 2025-01-31 02:26:55.315935+00:00
@@ -515,11 +515,11 @@
dim0 = cast(int, transpose_node.args[1])
dim1 = cast(int, transpose_node.args[2])
changed = False
def _calculate_dim(
- transpose_dim: Union[torch.fx.Node, int]
+ transpose_dim: Union[torch.fx.Node, int],
) -> Union[torch.fx.Node, int]:
nonlocal transpose_input_node
nonlocal changed
if isinstance(transpose_dim, torch.fx.Node):
# Transpose dim is sub node
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Description
See #3373
Fixes # (issue)
Type of change
Please delete options that are not relevant and/or add your own.
Checklist: