mul_ function

Tensor mul_(dynamic a, dynamic b)

Implementation

Tensor mul_(dynamic a, dynamic b) {
  if (a is num) {
    return mul_(b, a);
  } else if (a is Tensor) {
    if (b is Tensor) {
      Tensor_mul_(a._tensorPtr, b._tensorPtr);
      final errorMsg = _get_and_reset_last_err();
      if (errorMsg != nullptr) {
        final errorString = errorMsg.cast<Utf8>().toDartString();

        throw Exception(errorString);
      }

      final tensor = Tensor._internal(a._tensorPtr);
      return tensor;
    } else if (b is num) {
      if (b is int) {
        final rightScalar = int32_to_scalar(b);

        Tensor_mul_scalar_(a._tensorPtr, rightScalar.scalarPtr);
        final errorMsg = _get_and_reset_last_err();
        if (errorMsg != nullptr) {
          final errorString = errorMsg.cast<Utf8>().toDartString();

          throw Exception(errorString);
        }

        final tensor = Tensor._internal(a._tensorPtr);
        return tensor;
      } else if (b is double) {
        final rightScalar = float64_to_scalar(b);

        Tensor_mul_scalar_(a._tensorPtr, rightScalar.scalarPtr);
        final errorMsg = _get_and_reset_last_err();
        if (errorMsg != nullptr) {
          final errorString = errorMsg.cast<Utf8>().toDartString();

          throw Exception(errorString);
        }

        final tensor = Tensor._internal(a._tensorPtr);
        return tensor;
      } else {
        throw Exception("wrong data type");
      }
    } else {
      throw Exception("wrong data type.");
    }
  } else {
    throw Exception("wrong data type.");
  }
}