Function maxPoolGrad

tfjs-backend-wasm/src/kernels/MaxPoolGrad.ts:52–88

(args: {
  inputs: MaxPoolGradInputs,
  attrs: MaxPoolGradAttrs,
  backend: BackendWasm,
})

}

export function maxPoolGrad(args: {
  inputs: MaxPoolGradInputs,
  attrs: MaxPoolGradAttrs,
  backend: BackendWasm,
}): TensorInfo {
  const {inputs, backend, attrs} = args;
  const {dy, input} = inputs;
  const {filterSize, strides, pad, dimRoundingMode} = attrs;

  const convInfo = backend_util.computePool2DInfo(
      input.shape as [number, number, number, number], filterSize, strides,
      /*dilations=*/1, pad, dimRoundingMode);
  const dx = backend.makeOutput(input.shape, input.dtype);

  wasmMaxPoolGrad(
      backend.dataIdMap.get(input.dataId).id,
      backend.dataIdMap.get(dy.dataId).id,
      backend.dataIdMap.get(dx.dataId).id,
      convInfo.batchSize,
      // Since Pool ops (MaxPool and MaxPool) support 2D filter only, in
      // channels should always equal to out channels.
      /*channelSize=*/convInfo.inChannels,
      convInfo.inHeight,
      convInfo.inWidth,
      convInfo.outHeight,
      convInfo.outWidth,
      convInfo.strideHeight,
      convInfo.strideWidth,
      convInfo.dilationHeight,
      convInfo.dilationWidth,
      convInfo.effectiveFilterHeight,
      convInfo.effectiveFilterWidth,
      convInfo.padInfo.top,
      convInfo.padInfo.left,
  );
  return dx;
}

export const maxPoolGradConfig: KernelConfig = {
  kernelName: MaxPoolGrad,