BGR Inputs Into launchTensorNormMean Throw "cudaErrorInvalidValue" Despite Being Supported

[eandert]

jetson-inference/c/tensorConvert.cu

Lines 226 to 235 in 7d40e30

	if( format == IMAGE_RGB8 )
	gpuTensorNormMean<uchar3, isBGR><<<gridDim, blockDim, 0, stream>>>((uchar3*)input, inputWidth, output, outputWidth, outputHeight, channelStride, scale, multiplier, range.x, mean, stdDev);
	else if( format == IMAGE_RGBA8 )
	gpuTensorNormMean<uchar4, isBGR><<<gridDim, blockDim, 0, stream>>>((uchar4*)input, inputWidth, output, outputWidth, outputHeight, channelStride, scale, multiplier, range.x, mean, stdDev);
	else if( format == IMAGE_RGB32F )
	gpuTensorNormMean<float3, isBGR><<<gridDim, blockDim, 0, stream>>>((float3*)input, inputWidth, output, outputWidth, outputHeight, channelStride, scale, multiplier, range.x, mean, stdDev);
	else if( format == IMAGE_RGBA32F )
	gpuTensorNormMean<float4, isBGR><<<gridDim, blockDim, 0, stream>>>((float4*)input, inputWidth, output, outputWidth, outputHeight, channelStride, scale, multiplier, range.x, mean, stdDev);
	else
	return cudaErrorInvalidValue;

I was able to fix and verify that BGR8 works great on my local build by changing the if statement from
if( format == IMAGE_RGB8 )
to instead be
if( format == IMAGE_RGB8 || format == IMAGE_BGR8 )

I assume this could be done for the other BGR color formats as well. The CUDA template supports isBGR = True already.