binaryCrossEntropyGPU<T> function

GPUTensor<Scalar> binaryCrossEntropyGPU<T>(GPUTensor<T> prediction, GPUTensor<T> target, CommandBuffer tape)

///////////////////////////////// Loss Functions (400-499) /// /////////////////////////////////

Implementation

GPUTensor<Scalar> binaryCrossEntropyGPU<T>(GPUTensor<T> prediction, GPUTensor<T> target, CommandBuffer tape) {
  // Loss functions usually reduce the result to a single scalar
  GPUTensor<Scalar> out = GPUTensor<Scalar>(0.0);

  tape.putInt(OP_BCE_LOSS_FORWARD);
  tape.putString(prediction.id);
  tape.putString(target.id);
  tape.putString(out.id);

  out.creator = GPUNode(
    [prediction, target],
        (CommandBuffer bTape) {
      bTape.putInt(OP_BCE_LOSS_BACKWARD);
      // CORRECT ORDER to match C++ bindings
      bTape.putString('${out.id}_grad');         // 1. Incoming grad (1.0)
      bTape.putString(prediction.id);            // 2. Prediction
      bTape.putString(target.id);                // 3. Target
      bTape.putString('${prediction.id}_grad');  // 4. Destination for the gradient
    },
    opName: 'binaryCrossEntropyGPU',
    cost: 1,
  );

  return out;
}