[pt1][quant] Add dequantize_linear for JIT pass #20107
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pytorchbot
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nishantpdce
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May 15, 2019
Contributor
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Please run clang-format on the .h/.cpp files |
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dumb question - why do you need this if you have as_quantized_tensor in the following diff? also, how is it going to be used in the JIT pass, just curious? |
Contributor
Author
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@dzhulgakov in JIT pass, we want explicit scale, zero_point argument in dequantize so that we don't need to traverse back to find these argument in quantize_linear. We don't expect this function to be used by user, this is for JIT pass only. |
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Contributor
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This pull request has been merged in cca923c. |
zdevito
pushed a commit
to zdevito/ATen
that referenced
this pull request
May 21, 2019
Summary: Pull Request resolved: pytorch/pytorch#20107 att Reviewed By: nishantpdce Differential Revision: D15202187 fbshipit-source-id: 7d6274a67fcca695c0425587f35046fecbc2ccdc
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Stack:
:white_circle: #20656 [pt1][quant] int_repr for different quantized types 💛
:black_circle: #20107 [pt1][quant] Add dequantize_linear for JIT pass 💚
att
Differential Revision: D15202187