add --no-deps for tests/py/requirements.txt

[lanluo-nvidia]

Description

Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change.

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

[github-actions]

There are some changes that do not conform to Python style guidelines:

--- /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/lowering/passes/constant_folding.py	2025-06-12 18:50:40.657361+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/lowering/passes/constant_folding.py	2025-06-12 18:51:06.933258+00:00
@@ -98,16 +98,17 @@
class _TorchTensorRTConstantFolder(ConstantFolder):  # type: ignore[misc]
    def __init__(self, *args: Any, **kwargs: Any) -> None:
        super().__init__(*args, **kwargs)

    def is_impure(self, node: torch.fx.node.Node) -> bool:
-        # Set of known quantization ops to be excluded from constant folding. 
+        # Set of known quantization ops to be excluded from constant folding.
        # Currently, we exclude all quantization ops coming from modelopt library.
        quantization_ops = {}
        try:
-            # modelopt import ensures torch.ops.tensorrt.quantize_op.default is registered 
+            # modelopt import ensures torch.ops.tensorrt.quantize_op.default is registered
            import modelopt.torch.quantization as mtq
+
            assert torch.ops.tensorrt.quantize_op.default
            quantization_ops.add(torch.ops.tensorrt.quantize_op.default)
        except Exception as e:
            pass
        if quantization_ops and node.target in quantization_ops:

[github-actions]

There are some changes that do not conform to Python style guidelines:

--- /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/lowering/passes/constant_folding.py	2025-06-12 18:50:55.187582+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/lowering/passes/constant_folding.py	2025-06-12 18:51:21.063597+00:00
@@ -98,16 +98,17 @@
class _TorchTensorRTConstantFolder(ConstantFolder):  # type: ignore[misc]
    def __init__(self, *args: Any, **kwargs: Any) -> None:
        super().__init__(*args, **kwargs)

    def is_impure(self, node: torch.fx.node.Node) -> bool:
-        # Set of known quantization ops to be excluded from constant folding. 
+        # Set of known quantization ops to be excluded from constant folding.
        # Currently, we exclude all quantization ops coming from modelopt library.
        quantization_ops = {}
        try:
-            # modelopt import ensures torch.ops.tensorrt.quantize_op.default is registered 
+            # modelopt import ensures torch.ops.tensorrt.quantize_op.default is registered
            import modelopt.torch.quantization as mtq
+
            assert torch.ops.tensorrt.quantize_op.default
            quantization_ops.add(torch.ops.tensorrt.quantize_op.default)
        except Exception as e:
            pass
        if quantization_ops and node.target in quantization_ops:

[peri044]

LGTM