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fix: Add support for truncate_long_and_double in FX #1865

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fix: Add support for truncate_long_and_double in FX #1865

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@gs-olive gs-olive commented Apr 27, 2023 •
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Description

  • Add utility capabilities for accepting int64 and float64 inputs to TRTModules to support multiple use cases
  • Support cases include situations where internal tensors in split modules are int64 (generally used for indexing torch Tensors)
  • This also supports cases where the user wants to input long or double tensors as forward inputs
  • Add test cases to verify functionality and accuracy
  • Enable tests for TRTModuleNext, which are now fully supported on main

Fixes #1864
Addresses #1740

Type of change

  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)

Checklist:

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

@gs-olive gs-olive requested a review from frank-wei April 27, 2023 21:28
@gs-olive gs-olive self-assigned this Apr 27, 2023
gs-olive
gs-olive commented Apr 27, 2023
View reviewed changes
py/torch_tensorrt/fx/test/core/test_trt_module.py
ref_output,
rtol=1e-04,
atol=1e-04,
check_dtype=False,
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@gs-olive gs-olive Apr 27, 2023

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The output data type will be different, since TRT cannot output int64 types

@github-actions github-actions bot requested a review from wushirong April 27, 2023 22:55
@gs-olive gs-olive changed the title fix: Add support for torch.int64 inputs in FX fix: Add support for truncate_long_and_double in FX Apr 28, 2023
@gs-olive gs-olive force-pushed the fx_int64_fix branch 2 times, most recently from 65bc360 to ad8aecf Compare April 28, 2023 22:34
gs-olive
gs-olive commented Apr 28, 2023
View reviewed changes
py/torch_tensorrt/fx/utils.py
Comment on lines +46 to +70
elif dtype == torch.int64:
if truncate_long_and_double:
_LOGGER.warn(
"Detected Int64 Input, Casting to Int32 for TRT Engine Compatibility"
)
return trt.int32
else:
raise TypeError(
"Detected Int64 Input which is not supported by tensorrt, enable compilation"
+ "option truncate_long_and_double=True to cast input to Int32 for TRT Engine"
)
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Similarly to the TorchScript path, allow the truncate_long_and_double argument to automatically cast inputs as needed by TRT Engines, while informing the user. This is primarily helpful for intermediate inputs (not user-provided), which happen to be long-type tensors (such as indices for embeddings).

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narendasan commented May 22, 2023

@gs-olive is this PR still needed?

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gs-olive commented May 22, 2023

Yes, this PR is still needed to support T5 in the torch_tensorrt.dynamo.compile path, and is also needed to support T5 in the FX aten path (#1740)

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narendasan commented May 22, 2023

Can we create a seperate PR for dynamo so we can land the feature there at least?

@gs-olive gs-olive mentioned this pull request May 22, 2023
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gs-olive added 2 commits May 30, 2023 12:40
@gs-olive
fix: Add support for torch.int64 inputs in FXTRT
5382916 
- Add utility capabilities for accepting `int64` inputs to TRTModules to
support multiple use cases
- Support cases include situations where internal tensors in split
modules are `int64` (generally used for indexing torch Tensors)
- This also supports cases where the user wants to input `long` tensors
as `forward` inputs
- Add test cases to verify functionality and accuracy
- Enable tests for `TRTModuleNext`, which are now fully supported on
`main`
@gs-olive
fix: Add support for truncate_long_and_double in FX
6e53805 
- Add support and testing for `double` type inputs
@narendasan
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narendasan commented May 30, 2023

@gs-olive can you create separate PRs for each backend? Will be easier to merge then

@gs-olive gs-olive added the WIP Work is in progress, pull request should not be merged yet label May 30, 2023
@github-actions github-actions bot requested a review from yinghai May 30, 2023 21:57
@gs-olive gs-olive changed the title fix: Add support for truncate_long_and_double in FX fix: Add support for truncate_long_and_double in Dynamo May 31, 2023
@gs-olive gs-olive changed the title fix: Add support for truncate_long_and_double in Dynamo fix: Add support for truncate_long in Dynamo May 31, 2023
@gs-olive gs-olive changed the title fix: Add support for truncate_long in Dynamo fix: Add support for truncate_long_and_double in FX May 31, 2023
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gs-olive commented Jun 14, 2023

Closed in favor of the more robust #2021 (no need to manually downcast, have the FX graph/Dynamo utilities automatically handle this for us).

@gs-olive gs-olive closed this Jun 14, 2023
@gs-olive gs-olive deleted the fx_int64_fix branch June 14, 2023 19:24
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@borisfom borisfom borisfom approved these changes

@frank-wei frank-wei Awaiting requested review from frank-wei

@wushirong wushirong Awaiting requested review from wushirong

@yinghai yinghai Awaiting requested review from yinghai

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🐛 [Bug] Error when compiling aten model with intermediate int64 tensors

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