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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/23566 Currently if we use dynamic quantization we don't have the access to the internally quantized inputs and output for debugging. To make the debugging easier, this diff adds a debug feature to expose the quantized X, W and Y for debugging if debug outputs are attached to the operator and caffe2_dnnlowp_force_slow_path flag is set. The quantized inputs and output are exposed as the extra outputs. The example Int8FC op with debug outputs appended looks like: ``` op { input: "X" input: "W" input: "b" output: "Y" output: "X_q" output: "W_q" output: "Y_q" name: "" type: "Int8FC" arg { name: "axis" i: 1 } ... } ``` Next need to expose the quantization parameters. Reviewed By: jspark1105 Differential Revision: D16566753 fbshipit-source-id: acd855a172ee7993ddba8808f2af81b628ff9c02 |
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