fix(aten::instance_norm): Handle optional inputs in instance norm con… #3367
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There are some changes that do not conform to C++ style guidelines:
diff --git a/home/runner/work/TensorRT/TensorRT/core/conversion/converters/impl/batch_norm.cpp b/tmp/changes.txt
index 267b586..c8ec197 100644
--- a/home/runner/work/TensorRT/TensorRT/core/conversion/converters/impl/batch_norm.cpp
+++ b/tmp/changes.txt
@@ -134,13 +134,12 @@ auto batch_norm_registrations TORCHTRT_UNUSED =
auto eps = static_cast<float>(args[7].unwrapToDouble(1e-5f));
-
auto scales = at::ones(shape[1], options);
if (!args[1].IValue()->isNone()) {
scales = args[1].unwrapToTensor(at::ones(shape[1], options)).cpu().contiguous();
}
auto bias = at::zeros(shape[1], options);
- if (!args[2].IValue()->isNone()){
+ if (!args[2].IValue()->isNone()) {
bias = args[2].unwrapToTensor(at::zeros(shape[1], options)).cpu().contiguous();
}
// track_running_stats=True
@@ -170,7 +169,7 @@ auto batch_norm_registrations TORCHTRT_UNUSED =
so for some functionalities, users need to install correct \
cuDNN version by themselves. Please see our support matrix \
here: https://docs.nvidia.com/deeplearning/tensorrt/support-matrix/index.html.");
- //return false;
+ // return false;
}
const int relu = 0;
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 C++ style guidelines:
diff --git a/home/runner/work/TensorRT/TensorRT/core/conversion/converters/impl/batch_norm.cpp b/tmp/changes.txt
index 267b586..c8ec197 100644
--- a/home/runner/work/TensorRT/TensorRT/core/conversion/converters/impl/batch_norm.cpp
+++ b/tmp/changes.txt
@@ -134,13 +134,12 @@ auto batch_norm_registrations TORCHTRT_UNUSED =
auto eps = static_cast<float>(args[7].unwrapToDouble(1e-5f));
-
auto scales = at::ones(shape[1], options);
if (!args[1].IValue()->isNone()) {
scales = args[1].unwrapToTensor(at::ones(shape[1], options)).cpu().contiguous();
}
auto bias = at::zeros(shape[1], options);
- if (!args[2].IValue()->isNone()){
+ if (!args[2].IValue()->isNone()) {
bias = args[2].unwrapToTensor(at::zeros(shape[1], options)).cpu().contiguous();
}
// track_running_stats=True
@@ -170,7 +169,7 @@ auto batch_norm_registrations TORCHTRT_UNUSED =
so for some functionalities, users need to install correct \
cuDNN version by themselves. Please see our support matrix \
here: https://docs.nvidia.com/deeplearning/tensorrt/support-matrix/index.html.");
- //return false;
+ // return false;
}
const int relu = 0;
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 2025-01-29 19:36:39.024741+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/0e30a6276601af7e5fc4d5166e2e3d37/torch_compile_advanced_usage.py 2025-01-29 19:37:06.269420+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 2025-01-29 19:36:39.024741+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/2a9ac10f2667047a7f398d1593b7ca33/torch_export_gpt2.py 2025-01-29 19:37:06.277587+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 2025-01-29 19:36:39.025741+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/418941399c146271a7b7728ba3059960/dynamo_compile_resnet_example.py 2025-01-29 19:37:06.325770+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 2025-01-29 19:36:39.024741+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/3d4d74f6636d986f33167154f6553961/torch_export_cudagraphs.py 2025-01-29 19:37:06.343057+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 2025-01-29 19:36:39.027741+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/7b7004dc2ea6f839be532665e16e0426/torch_export_llama2.py 2025-01-29 19:37:06.370229+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 2025-01-29 19:36:39.029741+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/e1ef5a42560a98a132f56a79d0b66f79/dynamo_compile_advanced_usage.py 2025-01-29 19:37:06.450615+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 2025-01-29 19:36:39.029741+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/dfa60e8f9850fd7761f3e7da81304d32/torch_compile_transformers_example.py 2025-01-29 19:37:06.454081+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 2025-01-29 19:36:39.029741+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/d6e1bb6ec5f884994554d9d12e37a0f6/torch_compile_resnet_example.py 2025-01-29 19:37:06.465458+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/_downloads/e550c5f53cc43e11aa6da8cfb79b54df/dynamo_compile_transformers_example.py 2025-01-29 19:36:39.029741+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/e550c5f53cc43e11aa6da8cfb79b54df/dynamo_compile_transformers_example.py 2025-01-29 19:37:06.500315+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/418941399c146271a7b7728ba3059960/dynamo_compile_resnet_example.py 2025-01-29 19:36:39.494740+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/v1.4.0/_downloads/418941399c146271a7b7728ba3059960/dynamo_compile_resnet_example.py 2025-01-29 19:37:06.512245+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/v1.4.0/_downloads/e1ef5a42560a98a132f56a79d0b66f79/dynamo_compile_advanced_usage.py 2025-01-29 19:36:39.494740+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/v1.4.0/_downloads/e1ef5a42560a98a132f56a79d0b66f79/dynamo_compile_advanced_usage.py 2025-01-29 19:37:06.526084+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 2025-01-29 19:36:39.494740+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/v1.4.0/_downloads/e550c5f53cc43e11aa6da8cfb79b54df/dynamo_compile_transformers_example.py 2025-01-29 19:37:06.546110+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 2025-01-29 19:36:39.525740+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_compile_advanced_usage.py 2025-01-29 19:37:06.723737+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 2025-01-29 19:36:39.525740+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_compile_resnet_example.py 2025-01-29 19:37:06.741589+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 2025-01-29 19:36:39.525740+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_compile_transformers_example.py 2025-01-29 19:37:06.751327+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_cudagraphs.py 2025-01-29 19:36:39.525740+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_export_cudagraphs.py 2025-01-29 19:37:06.771073+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_gpt2.py 2025-01-29 19:36:39.525740+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_export_gpt2.py 2025-01-29 19:37:06.771929+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_llama2.py 2025-01-29 19:36:39.525740+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_export_llama2.py 2025-01-29 19:37:06.785828+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 2025-01-29 19:36:39.534740+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/_Input.py 2025-01-29 19:37:07.312686+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 2025-01-29 19:36:39.536740+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/conversion/_TRTBuilderMonitor.py 2025-01-29 19:37:07.568443+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 2025-01-29 19:36:39.534740+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/_enums.py 2025-01-29 19:37:07.817569+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 2025-01-29 19:36:39.537740+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/conversion/impl/activation/ops.py 2025-01-29 19:37:08.001864+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 2025-01-29 19:36:39.541740+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/utils.py 2025-01-29 19:37:09.732455+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 2025-01-29 19:36:39.546740+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/fx/test/converters/acc_op/test_where.py 2025-01-29 19:37:10.459191+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 2025-01-29 19:36:39.550740+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/fx/tracer/acc_tracer/acc_tracer.py 2025-01-29 19:37:11.750889+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
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 2025-01-29 19:36:39.564405+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/0e30a6276601af7e5fc4d5166e2e3d37/torch_compile_advanced_usage.py 2025-01-29 19:37:10.655493+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 2025-01-29 19:36:39.564405+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/2a9ac10f2667047a7f398d1593b7ca33/torch_export_gpt2.py 2025-01-29 19:37:10.668049+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 2025-01-29 19:36:39.565405+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/418941399c146271a7b7728ba3059960/dynamo_compile_resnet_example.py 2025-01-29 19:37:10.712228+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 2025-01-29 19:36:39.565405+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/3d4d74f6636d986f33167154f6553961/torch_export_cudagraphs.py 2025-01-29 19:37:10.722646+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 2025-01-29 19:36:39.569405+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/7b7004dc2ea6f839be532665e16e0426/torch_export_llama2.py 2025-01-29 19:37:10.765635+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 2025-01-29 19:36:39.572405+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/e1ef5a42560a98a132f56a79d0b66f79/dynamo_compile_advanced_usage.py 2025-01-29 19:37:10.833730+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 2025-01-29 19:36:39.572405+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/dfa60e8f9850fd7761f3e7da81304d32/torch_compile_transformers_example.py 2025-01-29 19:37:10.836616+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 2025-01-29 19:36:39.572405+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/d6e1bb6ec5f884994554d9d12e37a0f6/torch_compile_resnet_example.py 2025-01-29 19:37:10.844011+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/_downloads/e550c5f53cc43e11aa6da8cfb79b54df/dynamo_compile_transformers_example.py 2025-01-29 19:36:39.572405+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/e550c5f53cc43e11aa6da8cfb79b54df/dynamo_compile_transformers_example.py 2025-01-29 19:37:10.881087+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/418941399c146271a7b7728ba3059960/dynamo_compile_resnet_example.py 2025-01-29 19:36:40.034409+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/v1.4.0/_downloads/418941399c146271a7b7728ba3059960/dynamo_compile_resnet_example.py 2025-01-29 19:37:10.895013+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/v1.4.0/_downloads/e1ef5a42560a98a132f56a79d0b66f79/dynamo_compile_advanced_usage.py 2025-01-29 19:36:40.035409+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/v1.4.0/_downloads/e1ef5a42560a98a132f56a79d0b66f79/dynamo_compile_advanced_usage.py 2025-01-29 19:37:10.908179+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 2025-01-29 19:36:40.035409+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/v1.4.0/_downloads/e550c5f53cc43e11aa6da8cfb79b54df/dynamo_compile_transformers_example.py 2025-01-29 19:37:10.927471+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 2025-01-29 19:36:40.065409+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_compile_advanced_usage.py 2025-01-29 19:37:11.073668+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 2025-01-29 19:36:40.065409+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_compile_resnet_example.py 2025-01-29 19:37:11.136215+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 2025-01-29 19:36:40.066409+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_compile_transformers_example.py 2025-01-29 19:37:11.144777+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_cudagraphs.py 2025-01-29 19:36:40.066409+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_export_cudagraphs.py 2025-01-29 19:37:11.152833+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_gpt2.py 2025-01-29 19:36:40.066409+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_export_gpt2.py 2025-01-29 19:37:11.158252+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_llama2.py 2025-01-29 19:36:40.066409+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_export_llama2.py 2025-01-29 19:37:11.186821+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 2025-01-29 19:36:40.075409+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/_Input.py 2025-01-29 19:37:11.692124+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 2025-01-29 19:36:40.077410+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/conversion/_TRTBuilderMonitor.py 2025-01-29 19:37:11.960189+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 2025-01-29 19:36:40.075409+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/_enums.py 2025-01-29 19:37:12.174794+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 2025-01-29 19:36:40.078409+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/conversion/impl/activation/ops.py 2025-01-29 19:37:12.385590+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 2025-01-29 19:36:40.082410+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/utils.py 2025-01-29 19:37:13.840024+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 2025-01-29 19:36:40.087409+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/fx/test/converters/acc_op/test_where.py 2025-01-29 19:37:14.801177+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 2025-01-29 19:36:40.091410+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/fx/tracer/acc_tracer/acc_tracer.py 2025-01-29 19:37:16.009485+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
7 tasks
zewenli98
approved these changes
Jan 29, 2025
There was a problem hiding this comment.
There are some changes that do not conform to C++ style guidelines:
diff --git a/home/runner/work/TensorRT/TensorRT/core/conversion/converters/impl/batch_norm.cpp b/tmp/changes.txt
index 267b586..c8ec197 100644
--- a/home/runner/work/TensorRT/TensorRT/core/conversion/converters/impl/batch_norm.cpp
+++ b/tmp/changes.txt
@@ -134,13 +134,12 @@ auto batch_norm_registrations TORCHTRT_UNUSED =
auto eps = static_cast<float>(args[7].unwrapToDouble(1e-5f));
-
auto scales = at::ones(shape[1], options);
if (!args[1].IValue()->isNone()) {
scales = args[1].unwrapToTensor(at::ones(shape[1], options)).cpu().contiguous();
}
auto bias = at::zeros(shape[1], options);
- if (!args[2].IValue()->isNone()){
+ if (!args[2].IValue()->isNone()) {
bias = args[2].unwrapToTensor(at::zeros(shape[1], options)).cpu().contiguous();
}
// track_running_stats=True
@@ -170,7 +169,7 @@ auto batch_norm_registrations TORCHTRT_UNUSED =
so for some functionalities, users need to install correct \
cuDNN version by themselves. Please see our support matrix \
here: https://docs.nvidia.com/deeplearning/tensorrt/support-matrix/index.html.");
- //return false;
+ // return false;
}
const int relu = 0;
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 2025-01-29 22:43:28.748747+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/0e30a6276601af7e5fc4d5166e2e3d37/torch_compile_advanced_usage.py 2025-01-29 22:43:53.434876+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 2025-01-29 22:43:28.748747+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/2a9ac10f2667047a7f398d1593b7ca33/torch_export_gpt2.py 2025-01-29 22:43:53.451237+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 2025-01-29 22:43:28.749747+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/418941399c146271a7b7728ba3059960/dynamo_compile_resnet_example.py 2025-01-29 22:43:53.489996+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 2025-01-29 22:43:28.749747+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/3d4d74f6636d986f33167154f6553961/torch_export_cudagraphs.py 2025-01-29 22:43:53.503968+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 2025-01-29 22:43:28.751747+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/7b7004dc2ea6f839be532665e16e0426/torch_export_llama2.py 2025-01-29 22:43:53.537264+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 2025-01-29 22:43:28.754747+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/e1ef5a42560a98a132f56a79d0b66f79/dynamo_compile_advanced_usage.py 2025-01-29 22:43:53.616256+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/d6e1bb6ec5f884994554d9d12e37a0f6/torch_compile_resnet_example.py 2025-01-29 22:43:28.753747+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/d6e1bb6ec5f884994554d9d12e37a0f6/torch_compile_resnet_example.py 2025-01-29 22:43:53.619172+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/_downloads/dfa60e8f9850fd7761f3e7da81304d32/torch_compile_transformers_example.py 2025-01-29 22:43:28.754747+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/dfa60e8f9850fd7761f3e7da81304d32/torch_compile_transformers_example.py 2025-01-29 22:43:53.621111+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/e550c5f53cc43e11aa6da8cfb79b54df/dynamo_compile_transformers_example.py 2025-01-29 22:43:28.754747+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/e550c5f53cc43e11aa6da8cfb79b54df/dynamo_compile_transformers_example.py 2025-01-29 22:43:53.661691+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/418941399c146271a7b7728ba3059960/dynamo_compile_resnet_example.py 2025-01-29 22:43:29.208753+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/v1.4.0/_downloads/418941399c146271a7b7728ba3059960/dynamo_compile_resnet_example.py 2025-01-29 22:43:53.668668+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/v1.4.0/_downloads/e1ef5a42560a98a132f56a79d0b66f79/dynamo_compile_advanced_usage.py 2025-01-29 22:43:29.208753+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/v1.4.0/_downloads/e1ef5a42560a98a132f56a79d0b66f79/dynamo_compile_advanced_usage.py 2025-01-29 22:43:53.685452+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 2025-01-29 22:43:29.208753+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/v1.4.0/_downloads/e550c5f53cc43e11aa6da8cfb79b54df/dynamo_compile_transformers_example.py 2025-01-29 22:43:53.705429+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 2025-01-29 22:43:29.238754+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_compile_advanced_usage.py 2025-01-29 22:43:53.847072+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 2025-01-29 22:43:29.238754+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_compile_resnet_example.py 2025-01-29 22:43:53.895708+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 2025-01-29 22:43:29.238754+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_compile_transformers_example.py 2025-01-29 22:43:53.910790+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 2025-01-29 22:43:29.238754+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_export_gpt2.py 2025-01-29 22:43:53.913547+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 2025-01-29 22:43:29.238754+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_export_cudagraphs.py 2025-01-29 22:43:53.927156+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 2025-01-29 22:43:29.238754+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_export_llama2.py 2025-01-29 22:43:53.942999+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 2025-01-29 22:43:29.247754+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/_Input.py 2025-01-29 22:43:54.376459+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 2025-01-29 22:43:29.249754+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/conversion/_TRTBuilderMonitor.py 2025-01-29 22:43:54.662593+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 2025-01-29 22:43:29.248754+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/_enums.py 2025-01-29 22:43:54.859980+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 2025-01-29 22:43:29.250754+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/conversion/impl/activation/ops.py 2025-01-29 22:43:55.075638+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 2025-01-29 22:43:29.255754+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/utils.py 2025-01-29 22:43:56.503115+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 2025-01-29 22:43:29.260754+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/fx/test/converters/acc_op/test_where.py 2025-01-29 22:43:57.436752+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 2025-01-29 22:43:29.263754+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/fx/tracer/acc_tracer/acc_tracer.py 2025-01-29 22:43:58.457952+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
narendasan
force-pushed
the
fix_5080278_2
branch
from
4cb3991 to
5de8783
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There was a problem hiding this comment.
There are some changes that do not conform to C++ style guidelines:
diff --git a/home/runner/work/TensorRT/TensorRT/core/conversion/converters/impl/batch_norm.cpp b/tmp/changes.txt
index 3fe9ec0..c8ec197 100644
--- a/home/runner/work/TensorRT/TensorRT/core/conversion/converters/impl/batch_norm.cpp
+++ b/tmp/changes.txt
@@ -134,7 +134,6 @@ auto batch_norm_registrations TORCHTRT_UNUSED =
auto eps = static_cast<float>(args[7].unwrapToDouble(1e-5f));
-
auto scales = at::ones(shape[1], options);
if (!args[1].IValue()->isNone()) {
scales = args[1].unwrapToTensor(at::ones(shape[1], options)).cpu().contiguous();
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 2025-01-29 23:05:16.424495+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/0e30a6276601af7e5fc4d5166e2e3d37/torch_compile_advanced_usage.py 2025-01-29 23:05:42.059025+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 2025-01-29 23:05:16.424495+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/2a9ac10f2667047a7f398d1593b7ca33/torch_export_gpt2.py 2025-01-29 23:05:42.079457+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 2025-01-29 23:05:16.425495+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/418941399c146271a7b7728ba3059960/dynamo_compile_resnet_example.py 2025-01-29 23:05:42.117351+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 2025-01-29 23:05:16.425495+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/3d4d74f6636d986f33167154f6553961/torch_export_cudagraphs.py 2025-01-29 23:05:42.132395+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 2025-01-29 23:05:16.427495+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/7b7004dc2ea6f839be532665e16e0426/torch_export_llama2.py 2025-01-29 23:05:42.161593+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 2025-01-29 23:05:16.429495+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/e1ef5a42560a98a132f56a79d0b66f79/dynamo_compile_advanced_usage.py 2025-01-29 23:05:42.241972+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 2025-01-29 23:05:16.429495+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/dfa60e8f9850fd7761f3e7da81304d32/torch_compile_transformers_example.py 2025-01-29 23:05:42.242309+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 2025-01-29 23:05:16.429495+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/d6e1bb6ec5f884994554d9d12e37a0f6/torch_compile_resnet_example.py 2025-01-29 23:05:42.255066+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/_downloads/e550c5f53cc43e11aa6da8cfb79b54df/dynamo_compile_transformers_example.py 2025-01-29 23:05:16.429495+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/e550c5f53cc43e11aa6da8cfb79b54df/dynamo_compile_transformers_example.py 2025-01-29 23:05:42.292971+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/418941399c146271a7b7728ba3059960/dynamo_compile_resnet_example.py 2025-01-29 23:05:16.876503+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/v1.4.0/_downloads/418941399c146271a7b7728ba3059960/dynamo_compile_resnet_example.py 2025-01-29 23:05:42.297565+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/v1.4.0/_downloads/e1ef5a42560a98a132f56a79d0b66f79/dynamo_compile_advanced_usage.py 2025-01-29 23:05:16.876503+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/v1.4.0/_downloads/e1ef5a42560a98a132f56a79d0b66f79/dynamo_compile_advanced_usage.py 2025-01-29 23:05:42.314008+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 2025-01-29 23:05:16.876503+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/v1.4.0/_downloads/e550c5f53cc43e11aa6da8cfb79b54df/dynamo_compile_transformers_example.py 2025-01-29 23:05:42.339552+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 2025-01-29 23:05:16.906504+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_compile_advanced_usage.py 2025-01-29 23:05:42.469803+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_transformers_example.py 2025-01-29 23:05:16.906504+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_compile_transformers_example.py 2025-01-29 23:05:42.530092+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_compile_resnet_example.py 2025-01-29 23:05:16.906504+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_compile_resnet_example.py 2025-01-29 23:05:42.535406+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_export_gpt2.py 2025-01-29 23:05:16.906504+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_export_gpt2.py 2025-01-29 23:05:42.537265+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 2025-01-29 23:05:16.906504+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_export_cudagraphs.py 2025-01-29 23:05:42.547969+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 2025-01-29 23:05:16.906504+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_export_llama2.py 2025-01-29 23:05:42.574980+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 2025-01-29 23:05:16.915504+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/_Input.py 2025-01-29 23:05:43.049355+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 2025-01-29 23:05:16.917504+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/conversion/_TRTBuilderMonitor.py 2025-01-29 23:05:43.292123+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 2025-01-29 23:05:16.915504+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/_enums.py 2025-01-29 23:05:43.540905+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 2025-01-29 23:05:16.918504+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/conversion/impl/activation/ops.py 2025-01-29 23:05:43.688805+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 2025-01-29 23:05:16.922504+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/utils.py 2025-01-29 23:05:45.150564+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 2025-01-29 23:05:16.927504+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/fx/test/converters/acc_op/test_where.py 2025-01-29 23:05:46.079855+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 2025-01-29 23:05:16.931504+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/fx/tracer/acc_tracer/acc_tracer.py 2025-01-29 23:05:47.364080+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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There are some changes that do not conform to C++ style guidelines:
diff --git a/home/runner/work/TensorRT/TensorRT/core/conversion/converters/impl/batch_norm.cpp b/tmp/changes.txt
index 3fe9ec0..c8ec197 100644
--- a/home/runner/work/TensorRT/TensorRT/core/conversion/converters/impl/batch_norm.cpp
+++ b/tmp/changes.txt
@@ -134,7 +134,6 @@ auto batch_norm_registrations TORCHTRT_UNUSED =
auto eps = static_cast<float>(args[7].unwrapToDouble(1e-5f));
-
auto scales = at::ones(shape[1], options);
if (!args[1].IValue()->isNone()) {
scales = args[1].unwrapToTensor(at::ones(shape[1], options)).cpu().contiguous();
ERROR: Some files do not conform to style guidelines
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Jan 30, 2025
#3367) Co-authored-by: Dheeraj Peri <peri.dheeraj@gmail.com>
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#3367) Co-authored-by: Dheeraj Peri <peri.dheeraj@gmail.com>
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#3367) Co-authored-by: Dheeraj Peri <peri.dheeraj@gmail.com>
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…verter
Description
Fixes some of the issues in NGC container
Fixes # (issue)
Type of change
Please delete options that are not relevant and/or add your own.
Checklist: