[quant][fx] Add _convert_to_reference_decomposed #87094
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Summary: _convert_to_reference_decomposed_qtensor is a private convert function in fx graph mode quantization flow to convert a calibrated/trained model to a reference quantized model with decomposed quantized tensor representations. Test Plan: python test/test_quantization.py TestQuantizeFx.test__convert_to_reference_decomposed_qtensor_fx Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
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Summary: _convert_to_reference_decomposed_qtensor is a private convert function in fx graph mode quantization flow to convert a calibrated/trained model to a reference quantized model with decomposed quantized tensor representations. Test Plan: python test/test_quantization.py TestQuantizeFx.test__convert_to_reference_decomposed_qtensor_fx Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
jerryzh168
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Oct 17, 2022
Summary: _convert_to_reference_decomposed_qtensor is a private convert function in fx graph mode quantization flow to convert a calibrated/trained model to a reference quantized model with decomposed quantized tensor representations. Test Plan: python test/test_quantization.py TestQuantizeFx.test__convert_to_reference_decomposed_qtensor_fx Reviewers: Subscribers: Tasks: Tags: ghstack-source-id: 709d64a Pull Request resolved: #87094
Summary: _convert_to_reference_decomposed_qtensor is a private convert function in fx graph mode quantization flow to convert a calibrated/trained model to a reference quantized model with decomposed quantized tensor representations. Test Plan: python test/test_quantization.py TestQuantizeFx.test__convert_to_reference_decomposed_qtensor_fx Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
jerryzh168
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Oct 17, 2022
Summary: _convert_to_reference_decomposed_qtensor is a private convert function in fx graph mode quantization flow to convert a calibrated/trained model to a reference quantized model with decomposed quantized tensor representations. Test Plan: python test/test_quantization.py TestQuantizeFx.test__convert_to_reference_decomposed_qtensor_fx Reviewers: Subscribers: Tasks: Tags: ghstack-source-id: 9e16c15 Pull Request resolved: #87094
vkuzo
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Oct 17, 2022
torch/ao/quantization/fx/utils.py
Outdated
| def get_quantize_node_info(activation_post_process: Callable) -> Optional[Tuple[str, Union[Callable, str], Dict[str, Any]]]: | ||
| def get_quantize_node_info( | ||
| activation_post_process: Callable, | ||
| is_decomposed_qtensor: bool |
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can we update the docblock to explain this
vkuzo
reviewed
Oct 17, 2022
Summary: _convert_to_reference_decomposed_qtensor is a private convert function in fx graph mode quantization flow to convert a calibrated/trained model to a reference quantized model with decomposed quantized tensor representations. Test Plan: python test/test_quantization.py TestQuantizeFx.test__convert_to_reference_decomposed_qtensor_fx Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
Summary: _convert_to_reference_decomposed_qtensor is a private convert function in fx graph mode quantization flow to convert a calibrated/trained model to a reference quantized model with decomposed quantized tensor representations. Test Plan: python test/test_quantization.py TestQuantizeFx.test__convert_to_reference_decomposed_qtensor_fx Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
Summary: _convert_to_reference_decomposed_qtensor is a private convert function in fx graph mode quantization flow to convert a calibrated/trained model to a reference quantized model with decomposed quantized tensor representations. Test Plan: python test/test_quantization.py TestQuantizeFx.test__convert_to_reference_decomposed_qtensor_fx Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
andrewor14
approved these changes
Oct 18, 2022
Summary: _convert_to_reference_decomposed_qtensor is a private convert function in fx graph mode quantization flow to convert a calibrated/trained model to a reference quantized model with decomposed quantized tensor representations. Test Plan: python test/test_quantization.py TestQuantizeFx.test__convert_to_reference_decomposed_qtensor_fx Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
Summary: _convert_to_reference_decomposed_qtensor is a private convert function in fx graph mode quantization flow to convert a calibrated/trained model to a reference quantized model with decomposed quantized tensor representations. Test Plan: python test/test_quantization.py TestQuantizeFx.test__convert_to_reference_decomposed_qtensor_fx Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
Summary: _convert_to_reference_decomposed_qtensor is a private convert function in fx graph mode quantization flow to convert a calibrated/trained model to a reference quantized model with decomposed quantized tensor representations. Test Plan: python test/test_quantization.py TestQuantizeFx.test__convert_to_reference_decomposed_qtensor_fx Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
Summary: _convert_to_reference_decomposed_qtensor is a private convert function in fx graph mode quantization flow to convert a calibrated/trained model to a reference quantized model with decomposed quantized tensor representations. Test Plan: python test/test_quantization.py TestQuantizeFx.test__convert_to_reference_decomposed_qtensor_fx Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
Summary: _convert_to_reference_decomposed_qtensor is a private convert function in fx graph mode quantization flow to convert a calibrated/trained model to a reference quantized model with decomposed quantized tensor representations. Test Plan: python test/test_quantization.py TestQuantizeFx.test__convert_to_reference_decomposed_qtensor_fx Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
Summary: _convert_to_reference_decomposed_qtensor is a private convert function in fx graph mode quantization flow to convert a calibrated/trained model to a reference quantized model with decomposed quantized tensor representations. Test Plan: python test/test_quantization.py TestQuantizeFx.test__convert_to_reference_decomposed_qtensor_fx Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
Summary: _convert_to_reference_decomposed_qtensor is a private convert function in fx graph mode quantization flow to convert a calibrated/trained model to a reference quantized model with decomposed quantized tensor representations. Test Plan: python test/test_quantization.py TestQuantizeFx.test__convert_to_reference_decomposed_qtensor_fx Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
Summary: _convert_to_reference_decomposed_qtensor is a private convert function in fx graph mode quantization flow to convert a calibrated/trained model to a reference quantized model with decomposed quantized tensor representations. Test Plan: python test/test_quantization.py TestQuantizeFx.test__convert_to_reference_decomposed_qtensor_fx Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
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Summary: _convert_to_reference_decomposed is a private convert function in fx graph mode quantization flow to convert a calibrated/trained model to a reference quantized model with decomposed quantized tensor representations. Test Plan: python test/test_quantization.py TestQuantizeFx.test__convert_to_reference_decomposed_fx Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
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Summary: _convert_to_reference_decomposed is a private convert function in fx graph mode quantization flow to convert a calibrated/trained model to a reference quantized model with decomposed quantized tensor representations. Test Plan: python test/test_quantization.py TestQuantizeFx.test__convert_to_reference_decomposed_fx Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
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@pytorchbot merge |
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Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
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@pytorchbot merge |
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Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
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@pytorchbot merge -f |
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@pytorchbot merge -f "unrelated error" |
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Hey @jerryzh168. |
kulinseth
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Nov 5, 2022
Summary: _convert_to_reference_decomposed is a private convert function in fx graph mode quantization flow to convert a calibrated/trained model to a reference quantized model with decomposed quantized tensor representations. Test Plan: python test/test_quantization.py TestQuantizeFx.test__convert_to_reference_decomposed_fx Reviewers: Subscribers: Tasks: Tags: Pull Request resolved: pytorch#87094 Approved by: https://github.com/andrewor14
kulinseth
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Dec 10, 2022
Summary: _convert_to_reference_decomposed is a private convert function in fx graph mode quantization flow to convert a calibrated/trained model to a reference quantized model with decomposed quantized tensor representations. Test Plan: python test/test_quantization.py TestQuantizeFx.test__convert_to_reference_decomposed_fx Reviewers: Subscribers: Tasks: Tags: Pull Request resolved: pytorch#87094 Approved by: https://github.com/andrewor14
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Stack from ghstack (oldest at bottom):
quantize_node#87153Summary:
_convert_to_reference_decomposed is a private convert function in fx graph mode quantization flow to convert
a calibrated/trained model to a reference quantized model with decomposed quantized tensor representations.
Test Plan:
python test/test_quantization.py TestQuantizeFx.test__convert_to_reference_decomposed_fx
Reviewers:
Subscribers:
Tasks:
Tags: