diff --git a/source/adapters/cuda/image.cpp b/source/adapters/cuda/image.cpp index 427fde70e6..162bd8fbf4 100644 --- a/source/adapters/cuda/image.cpp +++ b/source/adapters/cuda/image.cpp @@ -65,101 +65,59 @@ ur_result_t urCalculateNumChannels(ur_image_channel_order_t order, /// format if not nullptr. /// /param return_pixel_size_bytes will be set to the pixel /// byte size if not nullptr. +/// /param return_normalized_dtype_flag will be set if the +/// data type is normalized if not nullptr. ur_result_t urToCudaImageChannelFormat(ur_image_channel_type_t image_channel_type, ur_image_channel_order_t image_channel_order, CUarray_format *return_cuda_format, - size_t *return_pixel_size_bytes) { + size_t *return_pixel_size_bytes, + unsigned int *return_normalized_dtype_flag) { - CUarray_format cuda_format; + CUarray_format cuda_format = CU_AD_FORMAT_UNSIGNED_INT8; size_t pixel_size_bytes = 0; unsigned int num_channels = 0; + unsigned int normalized_dtype_flag = 0; UR_CHECK_ERROR(urCalculateNumChannels(image_channel_order, &num_channels)); switch (image_channel_type) { -#define CASE(FROM, TO, SIZE) \ +#define CASE(FROM, TO, SIZE, NORM) \ case FROM: { \ cuda_format = TO; \ pixel_size_bytes = SIZE * num_channels; \ + normalized_dtype_flag = NORM; \ break; \ } - CASE(UR_IMAGE_CHANNEL_TYPE_UNSIGNED_INT8, CU_AD_FORMAT_UNSIGNED_INT8, 1) - CASE(UR_IMAGE_CHANNEL_TYPE_SIGNED_INT8, CU_AD_FORMAT_SIGNED_INT8, 1) - CASE(UR_IMAGE_CHANNEL_TYPE_UNSIGNED_INT16, CU_AD_FORMAT_UNSIGNED_INT16, 2) - CASE(UR_IMAGE_CHANNEL_TYPE_SIGNED_INT16, CU_AD_FORMAT_SIGNED_INT16, 2) - CASE(UR_IMAGE_CHANNEL_TYPE_HALF_FLOAT, CU_AD_FORMAT_HALF, 2) - CASE(UR_IMAGE_CHANNEL_TYPE_UNSIGNED_INT32, CU_AD_FORMAT_UNSIGNED_INT32, 4) - CASE(UR_IMAGE_CHANNEL_TYPE_SIGNED_INT32, CU_AD_FORMAT_SIGNED_INT32, 4) - CASE(UR_IMAGE_CHANNEL_TYPE_FLOAT, CU_AD_FORMAT_FLOAT, 4) + CASE(UR_IMAGE_CHANNEL_TYPE_UNSIGNED_INT8, CU_AD_FORMAT_UNSIGNED_INT8, 1, 0) + CASE(UR_IMAGE_CHANNEL_TYPE_SIGNED_INT8, CU_AD_FORMAT_SIGNED_INT8, 1, 0) + CASE(UR_IMAGE_CHANNEL_TYPE_UNSIGNED_INT16, CU_AD_FORMAT_UNSIGNED_INT16, 2, + 0) + CASE(UR_IMAGE_CHANNEL_TYPE_SIGNED_INT16, CU_AD_FORMAT_SIGNED_INT16, 2, 0) + CASE(UR_IMAGE_CHANNEL_TYPE_HALF_FLOAT, CU_AD_FORMAT_HALF, 2, 0) + CASE(UR_IMAGE_CHANNEL_TYPE_UNSIGNED_INT32, CU_AD_FORMAT_UNSIGNED_INT32, 4, + 0) + CASE(UR_IMAGE_CHANNEL_TYPE_SIGNED_INT32, CU_AD_FORMAT_SIGNED_INT32, 4, 0) + CASE(UR_IMAGE_CHANNEL_TYPE_FLOAT, CU_AD_FORMAT_FLOAT, 4, 0) + CASE(UR_IMAGE_CHANNEL_TYPE_UNORM_INT8, CU_AD_FORMAT_UNSIGNED_INT8, 1, 1) + CASE(UR_IMAGE_CHANNEL_TYPE_SNORM_INT8, CU_AD_FORMAT_SIGNED_INT8, 1, 1) + CASE(UR_IMAGE_CHANNEL_TYPE_UNORM_INT16, CU_AD_FORMAT_UNSIGNED_INT16, 2, 1) + CASE(UR_IMAGE_CHANNEL_TYPE_SNORM_INT16, CU_AD_FORMAT_SIGNED_INT16, 2, 1) #undef CASE default: break; } - // These new formats were brought in in CUDA 11.5 -#if CUDA_VERSION >= 11050 - - // If none of the above channel types were passed, check those below - if (pixel_size_bytes == 0) { - - // We can't use a switch statement here because these single - // UR_IMAGE_CHANNEL_TYPEs can correspond to multiple [u/s]norm CU_AD_FORMATs - // depending on the number of channels. We use a std::map instead to - // retrieve the correct CUDA format - - // map < , > - const std::map, - std::pair> - norm_channel_type_map{ - {{UR_IMAGE_CHANNEL_TYPE_UNORM_INT8, 1}, - {CU_AD_FORMAT_UNORM_INT8X1, 1}}, - {{UR_IMAGE_CHANNEL_TYPE_UNORM_INT8, 2}, - {CU_AD_FORMAT_UNORM_INT8X2, 2}}, - {{UR_IMAGE_CHANNEL_TYPE_UNORM_INT8, 4}, - {CU_AD_FORMAT_UNORM_INT8X4, 4}}, - - {{UR_IMAGE_CHANNEL_TYPE_SNORM_INT8, 1}, - {CU_AD_FORMAT_SNORM_INT8X1, 1}}, - {{UR_IMAGE_CHANNEL_TYPE_SNORM_INT8, 2}, - {CU_AD_FORMAT_SNORM_INT8X2, 2}}, - {{UR_IMAGE_CHANNEL_TYPE_SNORM_INT8, 4}, - {CU_AD_FORMAT_SNORM_INT8X4, 4}}, - - {{UR_IMAGE_CHANNEL_TYPE_UNORM_INT16, 1}, - {CU_AD_FORMAT_UNORM_INT16X1, 2}}, - {{UR_IMAGE_CHANNEL_TYPE_UNORM_INT16, 2}, - {CU_AD_FORMAT_UNORM_INT16X2, 4}}, - {{UR_IMAGE_CHANNEL_TYPE_UNORM_INT16, 4}, - {CU_AD_FORMAT_UNORM_INT16X4, 8}}, - - {{UR_IMAGE_CHANNEL_TYPE_SNORM_INT16, 1}, - {CU_AD_FORMAT_SNORM_INT16X1, 2}}, - {{UR_IMAGE_CHANNEL_TYPE_SNORM_INT16, 2}, - {CU_AD_FORMAT_SNORM_INT16X2, 4}}, - {{UR_IMAGE_CHANNEL_TYPE_SNORM_INT16, 4}, - {CU_AD_FORMAT_SNORM_INT16X4, 8}}, - }; - - try { - auto cuda_format_and_size = norm_channel_type_map.at( - std::make_pair(image_channel_type, num_channels)); - cuda_format = cuda_format_and_size.first; - pixel_size_bytes = cuda_format_and_size.second; - } catch (const std::out_of_range &) { - return UR_RESULT_ERROR_UNSUPPORTED_IMAGE_FORMAT; - } - } - -#endif - if (return_cuda_format) { *return_cuda_format = cuda_format; } if (return_pixel_size_bytes) { *return_pixel_size_bytes = pixel_size_bytes; } + if (return_normalized_dtype_flag) { + *return_normalized_dtype_flag = normalized_dtype_flag; + } return UR_RESULT_SUCCESS; } @@ -189,46 +147,9 @@ cudaToUrImageChannelFormat(CUarray_format cuda_format, UR_IMAGE_CHANNEL_TYPE_HALF_FLOAT); CUDA_TO_UR_IMAGE_CHANNEL_TYPE(CU_AD_FORMAT_FLOAT, UR_IMAGE_CHANNEL_TYPE_FLOAT); -#if CUDA_VERSION >= 11050 - - // Note that the CUDA UNORM and SNORM formats also encode the number of - // channels. - // Since UR does not encode this, we map different CUDA formats to the same - // UR channel type. - // Since this function is only called from `urBindlessImagesImageGetInfoExp` - // which has access to `CUDA_ARRAY3D_DESCRIPTOR`, we can determine the - // number of channels in the calling function. - - CUDA_TO_UR_IMAGE_CHANNEL_TYPE(CU_AD_FORMAT_UNORM_INT8X1, - UR_IMAGE_CHANNEL_TYPE_UNORM_INT8); - CUDA_TO_UR_IMAGE_CHANNEL_TYPE(CU_AD_FORMAT_UNORM_INT8X2, - UR_IMAGE_CHANNEL_TYPE_UNORM_INT8); - CUDA_TO_UR_IMAGE_CHANNEL_TYPE(CU_AD_FORMAT_UNORM_INT8X4, - UR_IMAGE_CHANNEL_TYPE_UNORM_INT8); - - CUDA_TO_UR_IMAGE_CHANNEL_TYPE(CU_AD_FORMAT_UNORM_INT16X1, - UR_IMAGE_CHANNEL_TYPE_UNORM_INT16); - CUDA_TO_UR_IMAGE_CHANNEL_TYPE(CU_AD_FORMAT_UNORM_INT16X2, - UR_IMAGE_CHANNEL_TYPE_UNORM_INT16); - CUDA_TO_UR_IMAGE_CHANNEL_TYPE(CU_AD_FORMAT_UNORM_INT16X4, - UR_IMAGE_CHANNEL_TYPE_UNORM_INT16); - - CUDA_TO_UR_IMAGE_CHANNEL_TYPE(CU_AD_FORMAT_SNORM_INT8X1, - UR_IMAGE_CHANNEL_TYPE_SNORM_INT8); - CUDA_TO_UR_IMAGE_CHANNEL_TYPE(CU_AD_FORMAT_SNORM_INT8X2, - UR_IMAGE_CHANNEL_TYPE_SNORM_INT8); - CUDA_TO_UR_IMAGE_CHANNEL_TYPE(CU_AD_FORMAT_SNORM_INT8X4, - UR_IMAGE_CHANNEL_TYPE_SNORM_INT8); - - CUDA_TO_UR_IMAGE_CHANNEL_TYPE(CU_AD_FORMAT_SNORM_INT16X1, - UR_IMAGE_CHANNEL_TYPE_SNORM_INT16); - CUDA_TO_UR_IMAGE_CHANNEL_TYPE(CU_AD_FORMAT_SNORM_INT16X2, - UR_IMAGE_CHANNEL_TYPE_SNORM_INT16); - CUDA_TO_UR_IMAGE_CHANNEL_TYPE(CU_AD_FORMAT_SNORM_INT16X4, - UR_IMAGE_CHANNEL_TYPE_SNORM_INT16); -#endif -#undef MAP default: + // Default first enum + *return_image_channel_type = UR_IMAGE_CHANNEL_TYPE_SNORM_INT8; return UR_RESULT_ERROR_UNSUPPORTED_IMAGE_FORMAT; } } @@ -236,6 +157,7 @@ cudaToUrImageChannelFormat(CUarray_format cuda_format, ur_result_t urTextureCreate(ur_sampler_handle_t hSampler, const ur_image_desc_t *pImageDesc, const CUDA_RESOURCE_DESC &ResourceDesc, + const unsigned int normalized_dtype_flag, ur_exp_image_native_handle_t *phRetImage) { try { @@ -306,8 +228,9 @@ ur_result_t urTextureCreate(ur_sampler_handle_t hSampler, // CUDA default promotes 8-bit and 16-bit integers to float between [0,1] // This flag prevents this behaviour. - ImageTexDesc.flags |= CU_TRSF_READ_AS_INTEGER; - + if (!normalized_dtype_flag) { + ImageTexDesc.flags |= CU_TRSF_READ_AS_INTEGER; + } // Cubemap attributes ur_exp_sampler_cubemap_filter_mode_t CubemapFilterModeProp = hSampler->getCubemapFilterMode(); @@ -413,9 +336,9 @@ UR_APIEXPORT ur_result_t UR_APICALL urBindlessImagesImageAllocateExp( UR_CHECK_ERROR(urCalculateNumChannels(pImageFormat->channelOrder, &array_desc.NumChannels)); - UR_CHECK_ERROR(urToCudaImageChannelFormat(pImageFormat->channelType, - pImageFormat->channelOrder, - &array_desc.Format, nullptr)); + UR_CHECK_ERROR(urToCudaImageChannelFormat( + pImageFormat->channelType, pImageFormat->channelOrder, &array_desc.Format, + nullptr, nullptr)); array_desc.Flags = 0; // No flags required array_desc.Width = pImageDesc->width; @@ -534,7 +457,7 @@ UR_APIEXPORT ur_result_t UR_APICALL urBindlessImagesUnsampledImageCreateExp( size_t PixelSizeBytes; UR_CHECK_ERROR(urToCudaImageChannelFormat(pImageFormat->channelType, pImageFormat->channelOrder, &format, - &PixelSizeBytes)); + &PixelSizeBytes, nullptr)); try { @@ -579,9 +502,10 @@ UR_APIEXPORT ur_result_t UR_APICALL urBindlessImagesSampledImageCreateExp( CUarray_format format; size_t PixelSizeBytes; - UR_CHECK_ERROR(urToCudaImageChannelFormat(pImageFormat->channelType, - pImageFormat->channelOrder, &format, - &PixelSizeBytes)); + unsigned int normalized_dtype_flag; + UR_CHECK_ERROR(urToCudaImageChannelFormat( + pImageFormat->channelType, pImageFormat->channelOrder, &format, + &PixelSizeBytes, &normalized_dtype_flag)); try { CUDA_RESOURCE_DESC image_res_desc = {}; @@ -630,8 +554,8 @@ UR_APIEXPORT ur_result_t UR_APICALL urBindlessImagesSampledImageCreateExp( return UR_RESULT_ERROR_INVALID_VALUE; } - UR_CHECK_ERROR( - urTextureCreate(hSampler, pImageDesc, image_res_desc, phImage)); + UR_CHECK_ERROR(urTextureCreate(hSampler, pImageDesc, image_res_desc, + normalized_dtype_flag, phImage)); } catch (ur_result_t Err) { return Err; @@ -667,7 +591,7 @@ UR_APIEXPORT ur_result_t UR_APICALL urBindlessImagesImageCopyExp( // later. UR_CHECK_ERROR(urToCudaImageChannelFormat(pSrcImageFormat->channelType, pSrcImageFormat->channelOrder, - nullptr, &PixelSizeBytes)); + nullptr, &PixelSizeBytes, nullptr)); try { ScopedContext Active(hQueue->getDevice()); @@ -1146,8 +1070,9 @@ UR_APIEXPORT ur_result_t UR_APICALL urBindlessImagesMapExternalArrayExp( urCalculateNumChannels(pImageFormat->channelOrder, &NumChannels)); CUarray_format format; - UR_CHECK_ERROR(urToCudaImageChannelFormat( - pImageFormat->channelType, pImageFormat->channelOrder, &format, nullptr)); + UR_CHECK_ERROR(urToCudaImageChannelFormat(pImageFormat->channelType, + pImageFormat->channelOrder, &format, + nullptr, nullptr)); try { ScopedContext Active(hDevice); diff --git a/source/adapters/cuda/image.hpp b/source/adapters/cuda/image.hpp index 162885a44e..7233d1785c 100644 --- a/source/adapters/cuda/image.hpp +++ b/source/adapters/cuda/image.hpp @@ -21,14 +21,15 @@ ur_result_t urToCudaImageChannelFormat(ur_image_channel_type_t image_channel_type, ur_image_channel_order_t image_channel_order, CUarray_format *return_cuda_format, - size_t *return_pixel_types_size_bytes); + size_t *return_pixel_types_size_bytes, + unsigned int *return_normalized_dtype_flag); ur_result_t cudaToUrImageChannelFormat(CUarray_format cuda_format, ur_image_channel_type_t *return_image_channel_type); -ur_result_t urTextureCreate(ur_context_handle_t hContext, - ur_sampler_desc_t SamplerDesc, +ur_result_t urTextureCreate(ur_sampler_handle_t hSampler, const ur_image_desc_t *pImageDesc, - CUDA_RESOURCE_DESC ResourceDesc, + const CUDA_RESOURCE_DESC &ResourceDesc, + const unsigned int normalized_dtype_flag, ur_exp_image_native_handle_t *phRetImage);