elementWiseMultiplyMatrixGPU function

GPUTensor<Matrix> elementWiseMultiplyMatrixGPU(GPUTensor<Matrix> a, GPUTensor<Matrix> b, CommandBuffer tape, { GPUTensor<Matrix>? outTensor, })

Appends the commands for element wise multiplication of two matrices a and b to tape. Creates and allocates a Tensor to store the results.

Implementation

GPUTensor<Matrix> elementWiseMultiplyMatrixGPU(
    GPUTensor<Matrix> a, GPUTensor<Matrix> b, CommandBuffer tape,
    {GPUTensor<Matrix>? outTensor}) {
  int numRows = a.shape[0];
  int numCols = a.shape[1];

  GPUTensor<Matrix> out =
      outTensor ?? GPUTensor<Matrix>.empty([numRows, numCols]);

  tape.putInt(OP_MULTIPLY);
  tape.putString(a.id);
  tape.putString(b.id);
  tape.putString(out.id);

  out.creator = GPUNode(
    [a, b],
    (CommandBuffer bTape) {
      bTape.putInt(OP_MULTIPLY_BACKWARD);
      bTape.putString(out.gradId);
      bTape.putString(b.id);
      bTape.putString(a.gradId);

      bTape.putInt(OP_MULTIPLY_BACKWARD);
      bTape.putString(out.gradId);
      bTape.putString(a.id);
      bTape.putString(b.gradId);
    },
    opName: 'multiply_matrixGPU',
    cost: numRows * numCols,
  );

  return out;
}