padding_top, padding_bottom,
stride_width, stride_height,
&outShape) &&
- setInfoAndAllocateIfNeeded(&output, outShape);
-#if 0 // TODO depthwiseConvFloat32 from NNFW_KERNELS
- &&
+ setInfoAndAllocateIfNeeded(&output, outShape) &&
depthwiseConvFloat32(reinterpret_cast<const float*>(input.buffer),
input.shape(),
reinterpret_cast<const float*>(filter.buffer),
depth_multiplier, activation,
reinterpret_cast<float*>(output.buffer),
outShape);
-#endif
} else if (input.type == OperandType::TENSOR_QUANT8_ASYMM) {
success = depthwiseConvPrepare(input.shape(), filter.shape(), bias.shape(),
padding_left, padding_right,