[DUPLICATE] Fix for NGC 25.02 #3368

narendasan · 2025-01-29T19:41:45Z

…verter

Description

See #3367

Fixes # (issue)

Type of change

Please delete options that are not relevant and/or add your own.

Bug fix (non-breaking change which fixes an issue)
New feature (non-breaking change which adds functionality)
Breaking change (fix or feature that would cause existing functionality to not work as expected)
This change requires a documentation update

Checklist:

My code follows the style guidelines of this project (You can use the linters)
I have performed a self-review of my own code
I have commented my code, particularly in hard-to-understand areas and hacks
I have made corresponding changes to the documentation
I have added tests to verify my fix or my feature
New and existing unit tests pass locally with my changes
I have added the relevant labels to my PR in so that relevant reviewers are notified

…verter

github-actions

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

github-actions

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 19:41:59.908061+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/0e30a6276601af7e5fc4d5166e2e3d37/torch_compile_advanced_usage.py	2025-01-29 19:42:32.308184+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 19:41:59.908061+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/2a9ac10f2667047a7f398d1593b7ca33/torch_export_gpt2.py	2025-01-29 19:42:32.335369+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 19:41:59.909061+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/418941399c146271a7b7728ba3059960/dynamo_compile_resnet_example.py	2025-01-29 19:42:32.374740+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 19:41:59.909061+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/3d4d74f6636d986f33167154f6553961/torch_export_cudagraphs.py	2025-01-29 19:42:32.378625+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 19:41:59.911061+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/7b7004dc2ea6f839be532665e16e0426/torch_export_llama2.py	2025-01-29 19:42:32.426028+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 19:41:59.914061+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/e1ef5a42560a98a132f56a79d0b66f79/dynamo_compile_advanced_usage.py	2025-01-29 19:42:32.494415+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 19:41:59.914061+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/dfa60e8f9850fd7761f3e7da81304d32/torch_compile_transformers_example.py	2025-01-29 19:42:32.500191+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 19:41:59.914061+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/d6e1bb6ec5f884994554d9d12e37a0f6/torch_compile_resnet_example.py	2025-01-29 19:42:32.505740+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 19:41:59.914061+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/_downloads/e550c5f53cc43e11aa6da8cfb79b54df/dynamo_compile_transformers_example.py	2025-01-29 19:42:32.548532+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 19:42:00.364059+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/v1.4.0/_downloads/418941399c146271a7b7728ba3059960/dynamo_compile_resnet_example.py	2025-01-29 19:42:32.556986+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 19:42:00.365059+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/v1.4.0/_downloads/e1ef5a42560a98a132f56a79d0b66f79/dynamo_compile_advanced_usage.py	2025-01-29 19:42:32.563666+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 19:42:00.365059+00:00
+++ /home/runner/work/TensorRT/TensorRT/docs/v1.4.0/_downloads/e550c5f53cc43e11aa6da8cfb79b54df/dynamo_compile_transformers_example.py	2025-01-29 19:42:32.592172+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 19:42:00.395059+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_compile_advanced_usage.py	2025-01-29 19:42:32.764635+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 19:42:00.395059+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_compile_transformers_example.py	2025-01-29 19:42:32.787582+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 19:42:00.395059+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_compile_resnet_example.py	2025-01-29 19:42:32.792081+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_cudagraphs.py	2025-01-29 19:42:00.395059+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_export_cudagraphs.py	2025-01-29 19:42:32.801528+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 19:42:00.395059+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_export_gpt2.py	2025-01-29 19:42:32.807564+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 19:42:00.395059+00:00
+++ /home/runner/work/TensorRT/TensorRT/examples/dynamo/torch_export_llama2.py	2025-01-29 19:42:32.832609+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 19:42:00.404059+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/_Input.py	2025-01-29 19:42:33.320322+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/noxfile.py	2025-01-29 19:42:00.403059+00:00
+++ /home/runner/work/TensorRT/TensorRT/noxfile.py	2025-01-29 19:42:33.384432+00:00
@@ -235,11 +235,13 @@
    session.chdir(os.path.join(TOP_DIR, "tests/py/dynamo/"))
    num_workers = "auto"
    tests = ["lowering"]
    for test in tests:
        if USE_HOST_DEPS:
-            session.run_always("pytest", test, "-n", num_workers, env={"PYTHONPATH": PYT_PATH})
+            session.run_always(
+                "pytest", test, "-n", num_workers, env={"PYTHONPATH": PYT_PATH}
+            )
        else:
            session.run_always("pytest", test, "-n", num_workers)


def run_dynamo_partitioning_tests(session):
--- /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/conversion/_TRTBuilderMonitor.py	2025-01-29 19:42:00.406059+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/conversion/_TRTBuilderMonitor.py	2025-01-29 19:42:33.654543+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 19:42:00.404059+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/_enums.py	2025-01-29 19:42:33.765520+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 19:42:00.407059+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/conversion/impl/activation/ops.py	2025-01-29 19:42:34.073307+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 19:42:00.411059+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/utils.py	2025-01-29 19:42:35.475978+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 19:42:00.416059+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/fx/test/converters/acc_op/test_where.py	2025-01-29 19:42:36.404936+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 19:42:00.420059+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/fx/tracer/acc_tracer/acc_tracer.py	2025-01-29 19:42:37.759054+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
--- /home/runner/work/TensorRT/TensorRT/setup.py	2025-01-29 19:42:00.421059+00:00
+++ /home/runner/work/TensorRT/TensorRT/setup.py	2025-01-29 19:42:38.213647+00:00
@@ -31,11 +31,11 @@

LEGACY_BASE_VERSION_SUFFIX_PATTERN = re.compile("a0$")


def get_root_dir() -> Path:
-    dir_path = os.path.dirname(os.path.realpath(__file__)) 
+    dir_path = os.path.dirname(os.path.realpath(__file__))
    return dir_path


def get_git_revision_short_hash() -> str:
    return (
@@ -115,11 +115,10 @@
    if release_env_var == "1":
        RELEASE = True

if (gpu_arch_version := os.environ.get("CU_VERSION")) is None:
    gpu_arch_version = f"cu{__cuda_version__.replace('.','')}"
-


__version__ = os.environ.get("BUILD_VERSION")

if "--ci" in sys.argv:

fix(aten::instance_norm): Handle optional inputs in instance norm con…

f9da275

…verter

facebook-github-bot added the cla signed label Jan 29, 2025

github-actions bot added component: tests Issues re: Tests component: conversion Issues re: Conversion stage component: core Issues re: The core compiler component: converters Issues re: Specific op converters labels Jan 29, 2025

github-actions bot requested a review from zewenli98 January 29, 2025 19:42

github-actions bot requested changes Jan 29, 2025

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[DUPLICATE] Fix for NGC 25.02 #3368

[DUPLICATE] Fix for NGC 25.02 #3368

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[DUPLICATE] Fix for NGC 25.02 #3368

[DUPLICATE] Fix for NGC 25.02 #3368

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narendasan commented Jan 29, 2025

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