divideMatrixGPU function
Appends the commands for element wise division of two matrices a through b to tape.
Creates and allocates a Tensor to store the results.
Implementation
GPUTensor<Matrix> divideMatrixGPU(
GPUTensor<Matrix> a, GPUTensor<Matrix> b, CommandBuffer tape,
{GPUTensor<Matrix>? outTensor}) {
int numRows = a.shape[0];
int numCols = a.shape[1];
List<int> shape = <int>[numRows, numCols];
GPUTensor<Matrix> out = outTensor ?? GPUTensor<Matrix>.empty(shape);
tape.putInt(OP_DIVIDE);
tape.putString(a.id);
tape.putString(b.id);
tape.putString(out.id);
out.creator = GPUNode(
<GPUTensor>[a, b],
(CommandBuffer bTape) {
bTape.putInt(OP_DIVIDE_BACKWARD);
bTape.putString(a.id);
bTape.putString(b.id);
bTape.putString(out.gradId);
bTape.putString(a.gradId);
bTape.putString(b.gradId);
},
opName: 'divideMatrixGPU',
cost: numRows * numCols,
);
return out;
}