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quant_params should come from implicit nodes #301
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This pull request was exported from Phabricator. Differential Revision: D48805092 |
This pull request was exported from Phabricator. Differential Revision: D48805092 |
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This pull request was exported from Phabricator. Differential Revision: D48805092 |
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This pull request was exported from Phabricator. Differential Revision: D48805092 |
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This pull request was exported from Phabricator. Differential Revision: D48805092 |
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Differential Revision: D48761858 fbshipit-source-id: 4978bf4d68f16bf67ad5f6870d3e6a501fd7b9ed
Differential Revision: D48761859 fbshipit-source-id: 468e56a1e023b5d7cdc67098e108a4b1d140ee0c
Differential Revision: D48790083 fbshipit-source-id: 8115ccad6091403a1758908fdd534074695ff3a5
Differential Revision: D48764114 fbshipit-source-id: 105b9c514f974d761a14133b4c5fa5fdc44610d1
Differential Revision: D48805091 fbshipit-source-id: a13065c01ecfe0068dd0a73397fe2d43a2b52c84
Summary: Pull Request resolved: pytorch/executorch#301 QuantParams are generated for nodes to imply that these operations are quantized operations. However, if the QuantNodes are explicit, i.e. being used to actually convert data type, then we should not be generating quant_params. This is to help with mixed-datatype modles Reviewed By: salilsdesai Differential Revision: D48805092 fbshipit-source-id: 1babc4a87bf8f492657658462847a2e262b40054
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This pull request has been merged in a0e9dba. |
Summary:
QuantParams are generated for nodes to imply that these operations are quantized operations. However, if the QuantNodes are explicit, i.e. being used to actually convert data type, then we should not be generating quant_params.
This is to help with mixed-datatype modles
Reviewed By: salilsdesai
Differential Revision: D48805092