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image.cpp
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//===--------- image.cpp - CUDA Adapter -----------------------------------===//
//
// Copyright (C) 2023 Intel Corporation
//
// Part of the Unified-Runtime Project, under the Apache License v2.0 with LLVM
// Exceptions. See LICENSE.TXT
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
#include <cuda.h>
#include <map>
#include <utility>
#include "common.hpp"
#include "context.hpp"
#include "enqueue.hpp"
#include "event.hpp"
#include "image.hpp"
#include "logger/ur_logger.hpp"
#include "memory.hpp"
#include "queue.hpp"
#include "sampler.hpp"
#include "ur/ur.hpp"
#include "ur_api.h"
ur_result_t urCalculateNumChannels(ur_image_channel_order_t order,
unsigned int *NumChannels) {
switch (order) {
case ur_image_channel_order_t::UR_IMAGE_CHANNEL_ORDER_A:
case ur_image_channel_order_t::UR_IMAGE_CHANNEL_ORDER_R:
*NumChannels = 1;
return UR_RESULT_SUCCESS;
case ur_image_channel_order_t::UR_IMAGE_CHANNEL_ORDER_RG:
case ur_image_channel_order_t::UR_IMAGE_CHANNEL_ORDER_RA:
*NumChannels = 2;
return UR_RESULT_SUCCESS;
case ur_image_channel_order_t::UR_IMAGE_CHANNEL_ORDER_RGB:
return UR_RESULT_ERROR_UNSUPPORTED_IMAGE_FORMAT;
case ur_image_channel_order_t::UR_IMAGE_CHANNEL_ORDER_RGBA:
case ur_image_channel_order_t::UR_IMAGE_CHANNEL_ORDER_ARGB:
case ur_image_channel_order_t::UR_IMAGE_CHANNEL_ORDER_BGRA:
case ur_image_channel_order_t::UR_IMAGE_CHANNEL_ORDER_ABGR:
*NumChannels = 4;
return UR_RESULT_SUCCESS;
case ur_image_channel_order_t::UR_IMAGE_CHANNEL_ORDER_RX:
case ur_image_channel_order_t::UR_IMAGE_CHANNEL_ORDER_RGX:
case ur_image_channel_order_t::UR_IMAGE_CHANNEL_ORDER_RGBX:
case ur_image_channel_order_t::UR_IMAGE_CHANNEL_ORDER_SRGBA:
case ur_image_channel_order_t::UR_IMAGE_CHANNEL_ORDER_INTENSITY:
case ur_image_channel_order_t::UR_IMAGE_CHANNEL_ORDER_LUMINANCE:
default:
return UR_RESULT_ERROR_UNSUPPORTED_IMAGE_FORMAT;
}
}
/// Convert a UR image format to a CUDA image format and
/// get the pixel size in bytes.
/// /param image_channel_type is the ur_image_channel_type_t.
/// /param image_channel_order is the ur_image_channel_order_t.
/// this is used for normalized channel formats, as CUDA
/// combines the channel format and order for normalized
/// channel types.
/// /param return_cuda_format will be set to the equivalent cuda
/// 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,
unsigned int *return_normalized_dtype_flag) {
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, 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, 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;
}
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;
}
ur_result_t
cudaToUrImageChannelFormat(CUarray_format cuda_format,
ur_image_channel_type_t *return_image_channel_type) {
switch (cuda_format) {
#define CUDA_TO_UR_IMAGE_CHANNEL_TYPE(FROM, TO) \
case FROM: { \
*return_image_channel_type = TO; \
return UR_RESULT_SUCCESS; \
}
CUDA_TO_UR_IMAGE_CHANNEL_TYPE(CU_AD_FORMAT_UNSIGNED_INT8,
UR_IMAGE_CHANNEL_TYPE_UNSIGNED_INT8);
CUDA_TO_UR_IMAGE_CHANNEL_TYPE(CU_AD_FORMAT_UNSIGNED_INT16,
UR_IMAGE_CHANNEL_TYPE_UNSIGNED_INT16);
CUDA_TO_UR_IMAGE_CHANNEL_TYPE(CU_AD_FORMAT_UNSIGNED_INT32,
UR_IMAGE_CHANNEL_TYPE_UNSIGNED_INT32);
CUDA_TO_UR_IMAGE_CHANNEL_TYPE(CU_AD_FORMAT_SIGNED_INT8,
UR_IMAGE_CHANNEL_TYPE_SIGNED_INT8);
CUDA_TO_UR_IMAGE_CHANNEL_TYPE(CU_AD_FORMAT_SIGNED_INT16,
UR_IMAGE_CHANNEL_TYPE_SIGNED_INT16);
CUDA_TO_UR_IMAGE_CHANNEL_TYPE(CU_AD_FORMAT_SIGNED_INT32,
UR_IMAGE_CHANNEL_TYPE_SIGNED_INT32);
CUDA_TO_UR_IMAGE_CHANNEL_TYPE(CU_AD_FORMAT_HALF,
UR_IMAGE_CHANNEL_TYPE_HALF_FLOAT);
CUDA_TO_UR_IMAGE_CHANNEL_TYPE(CU_AD_FORMAT_FLOAT,
UR_IMAGE_CHANNEL_TYPE_FLOAT);
default:
// Default invalid enum
*return_image_channel_type = UR_IMAGE_CHANNEL_TYPE_FORCE_UINT32;
return UR_RESULT_ERROR_UNSUPPORTED_IMAGE_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 {
/// pi_sampler_properties
/// Layout of UR samplers for CUDA
///
/// Sampler property layout:
/// | <bits> | <usage>
/// -----------------------------------
/// | 31 30 ... 13 | N/A
/// | 12 | cubemap filter mode
/// | 11 | mip filter mode
/// | 10 9 8 | addressing mode 3
/// | 7 6 5 | addressing mode 2
/// | 4 3 2 | addressing mode 1
/// | 1 | filter mode
/// | 0 | normalize coords
CUDA_TEXTURE_DESC ImageTexDesc = {};
CUaddress_mode AddrMode[3] = {};
for (size_t i = 0; i < 3; i++) {
ur_sampler_addressing_mode_t AddrModeProp =
hSampler->getAddressingModeDim(i);
if (AddrModeProp == (UR_SAMPLER_ADDRESSING_MODE_CLAMP_TO_EDGE -
UR_SAMPLER_ADDRESSING_MODE_NONE)) {
AddrMode[i] = CU_TR_ADDRESS_MODE_CLAMP;
} else if (AddrModeProp == (UR_SAMPLER_ADDRESSING_MODE_CLAMP -
UR_SAMPLER_ADDRESSING_MODE_NONE)) {
AddrMode[i] = CU_TR_ADDRESS_MODE_BORDER;
} else if (AddrModeProp == (UR_SAMPLER_ADDRESSING_MODE_REPEAT -
UR_SAMPLER_ADDRESSING_MODE_NONE)) {
AddrMode[i] = CU_TR_ADDRESS_MODE_WRAP;
} else if (AddrModeProp == (UR_SAMPLER_ADDRESSING_MODE_MIRRORED_REPEAT -
UR_SAMPLER_ADDRESSING_MODE_NONE)) {
AddrMode[i] = CU_TR_ADDRESS_MODE_MIRROR;
}
}
CUfilter_mode FilterMode;
ur_sampler_filter_mode_t FilterModeProp = hSampler->getFilterMode();
FilterMode =
FilterModeProp ? CU_TR_FILTER_MODE_LINEAR : CU_TR_FILTER_MODE_POINT;
ImageTexDesc.filterMode = FilterMode;
// Mipmap attributes
CUfilter_mode MipFilterMode;
ur_sampler_filter_mode_t MipFilterModeProp = hSampler->getMipFilterMode();
MipFilterMode =
MipFilterModeProp ? CU_TR_FILTER_MODE_LINEAR : CU_TR_FILTER_MODE_POINT;
ImageTexDesc.mipmapFilterMode = MipFilterMode;
ImageTexDesc.maxMipmapLevelClamp = hSampler->MaxMipmapLevelClamp;
ImageTexDesc.minMipmapLevelClamp = hSampler->MinMipmapLevelClamp;
ImageTexDesc.maxAnisotropy = static_cast<unsigned>(hSampler->MaxAnisotropy);
// The address modes can interfere with other dimensions
// e.g. 1D texture sampling can be interfered with when setting other
// dimension address modes despite their nonexistence.
ImageTexDesc.addressMode[0] = AddrMode[0]; // 1D
ImageTexDesc.addressMode[1] = pImageDesc->height > 0
? AddrMode[1]
: ImageTexDesc.addressMode[1]; // 2D
ImageTexDesc.addressMode[2] =
pImageDesc->depth > 0 ? AddrMode[2] : ImageTexDesc.addressMode[2]; // 3D
// flags takes the normalized coordinates setting -- unnormalized is default
ImageTexDesc.flags = (hSampler->isNormalizedCoords())
? CU_TRSF_NORMALIZED_COORDINATES
: ImageTexDesc.flags;
// CUDA default promotes 8-bit and 16-bit integers to float between [0,1]
// This flag prevents this behaviour.
if (!normalized_dtype_flag) {
ImageTexDesc.flags |= CU_TRSF_READ_AS_INTEGER;
}
// Cubemap attributes
ur_exp_sampler_cubemap_filter_mode_t CubemapFilterModeProp =
hSampler->getCubemapFilterMode();
if (CubemapFilterModeProp == UR_EXP_SAMPLER_CUBEMAP_FILTER_MODE_SEAMLESS) {
#if CUDA_VERSION >= 11060
ImageTexDesc.flags |= CU_TRSF_SEAMLESS_CUBEMAP;
#else
setErrorMessage("The UR_EXP_SAMPLER_CUBEMAP_FILTER_MODE_SEAMLESS "
"feature requires cuda 11.6 or later.",
UR_RESULT_ERROR_ADAPTER_SPECIFIC);
return UR_RESULT_ERROR_ADAPTER_SPECIFIC;
#endif
}
CUtexObject Texture;
UR_CHECK_ERROR(
cuTexObjectCreate(&Texture, &ResourceDesc, &ImageTexDesc, nullptr));
*phRetImage = (ur_exp_image_native_handle_t)Texture;
} catch (ur_result_t Err) {
return Err;
} catch (...) {
return UR_RESULT_ERROR_UNKNOWN;
}
return UR_RESULT_SUCCESS;
}
UR_APIEXPORT ur_result_t UR_APICALL urUSMPitchedAllocExp(
ur_context_handle_t hContext, ur_device_handle_t hDevice,
const ur_usm_desc_t * /*pUSMDesc*/, ur_usm_pool_handle_t /*pool*/,
size_t widthInBytes, size_t height, size_t elementSizeBytes, void **ppMem,
size_t *pResultPitch) {
UR_ASSERT(std::find(hContext->getDevices().begin(),
hContext->getDevices().end(),
hDevice) != hContext->getDevices().end(),
UR_RESULT_ERROR_INVALID_CONTEXT);
UR_ASSERT((height > 0), UR_RESULT_ERROR_INVALID_VALUE);
UR_ASSERT((elementSizeBytes > 0), UR_RESULT_ERROR_INVALID_VALUE);
// elementSizeBytes can only take on values of 4, 8, or 16.
// small data types need to be minimised to 4.
if (elementSizeBytes < 4) {
elementSizeBytes = 4;
}
UR_ASSERT((elementSizeBytes == 4 || elementSizeBytes == 8 ||
elementSizeBytes == 16),
UR_RESULT_ERROR_INVALID_VALUE);
ur_result_t Result = UR_RESULT_SUCCESS;
try {
ScopedContext Active(hDevice);
UR_CHECK_ERROR(cuMemAllocPitch((CUdeviceptr *)ppMem, pResultPitch,
widthInBytes, height, elementSizeBytes));
} catch (ur_result_t error) {
Result = error;
} catch (...) {
return UR_RESULT_ERROR_UNKNOWN;
}
return Result;
}
UR_APIEXPORT ur_result_t UR_APICALL
urBindlessImagesUnsampledImageHandleDestroyExp(
ur_context_handle_t hContext, ur_device_handle_t hDevice,
ur_exp_image_native_handle_t hImage) {
UR_ASSERT(std::find(hContext->getDevices().begin(),
hContext->getDevices().end(),
hDevice) != hContext->getDevices().end(),
UR_RESULT_ERROR_INVALID_CONTEXT);
UR_CHECK_ERROR(cuSurfObjectDestroy((CUsurfObject)hImage));
return UR_RESULT_SUCCESS;
}
UR_APIEXPORT ur_result_t UR_APICALL
urBindlessImagesSampledImageHandleDestroyExp(
ur_context_handle_t hContext, ur_device_handle_t hDevice,
ur_exp_image_native_handle_t hImage) {
UR_ASSERT(std::find(hContext->getDevices().begin(),
hContext->getDevices().end(),
hDevice) != hContext->getDevices().end(),
UR_RESULT_ERROR_INVALID_CONTEXT);
UR_CHECK_ERROR(cuTexObjectDestroy((CUtexObject)hImage));
return UR_RESULT_SUCCESS;
}
UR_APIEXPORT ur_result_t UR_APICALL urBindlessImagesImageAllocateExp(
ur_context_handle_t hContext, ur_device_handle_t hDevice,
const ur_image_format_t *pImageFormat, const ur_image_desc_t *pImageDesc,
ur_exp_image_mem_native_handle_t *phImageMem) {
UR_ASSERT(std::find(hContext->getDevices().begin(),
hContext->getDevices().end(),
hDevice) != hContext->getDevices().end(),
UR_RESULT_ERROR_INVALID_CONTEXT);
// Populate descriptor
CUDA_ARRAY3D_DESCRIPTOR array_desc = {};
UR_CHECK_ERROR(urCalculateNumChannels(pImageFormat->channelOrder,
&array_desc.NumChannels));
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;
switch (pImageDesc->type) {
case UR_MEM_TYPE_IMAGE1D:
array_desc.Height = 0;
array_desc.Depth = 0;
break;
case UR_MEM_TYPE_IMAGE2D:
array_desc.Height = pImageDesc->height;
array_desc.Depth = 0;
break;
case UR_MEM_TYPE_IMAGE3D:
array_desc.Height = pImageDesc->height;
array_desc.Depth = pImageDesc->depth;
break;
case UR_MEM_TYPE_IMAGE1D_ARRAY:
array_desc.Height = 0;
array_desc.Depth = pImageDesc->arraySize;
array_desc.Flags |= CUDA_ARRAY3D_LAYERED;
break;
case UR_MEM_TYPE_IMAGE2D_ARRAY:
array_desc.Height = pImageDesc->height;
array_desc.Depth = pImageDesc->arraySize;
array_desc.Flags |= CUDA_ARRAY3D_LAYERED;
break;
case UR_MEM_TYPE_IMAGE_CUBEMAP_EXP:
array_desc.Height = pImageDesc->height;
array_desc.Depth = pImageDesc->arraySize; // Should be 6 ONLY
array_desc.Flags |= CUDA_ARRAY3D_CUBEMAP;
break;
case UR_MEM_TYPE_IMAGE_GATHER_EXP:
array_desc.Height = pImageDesc->height;
array_desc.Depth = pImageDesc->arraySize;
array_desc.Flags |= CUDA_ARRAY3D_TEXTURE_GATHER;
break;
default:
return UR_RESULT_ERROR_UNSUPPORTED_FEATURE;
}
ScopedContext Active(hDevice);
// Allocate a cuArray
if (pImageDesc->numMipLevel == 1) {
CUarray ImageArray{};
try {
UR_CHECK_ERROR(cuArray3DCreate(&ImageArray, &array_desc));
*phImageMem = (ur_exp_image_mem_native_handle_t)ImageArray;
} catch (ur_result_t Err) {
if (ImageArray != CUarray{}) {
UR_CHECK_ERROR(cuArrayDestroy(ImageArray));
}
return Err;
} catch (...) {
if (ImageArray != CUarray{}) {
UR_CHECK_ERROR(cuArrayDestroy(ImageArray));
}
return UR_RESULT_ERROR_UNKNOWN;
}
} else // Allocate a cuMipmappedArray
{
CUmipmappedArray mip_array{};
array_desc.Flags = CUDA_ARRAY3D_SURFACE_LDST;
try {
UR_CHECK_ERROR(cuMipmappedArrayCreate(&mip_array, &array_desc,
pImageDesc->numMipLevel));
*phImageMem = (ur_exp_image_mem_native_handle_t)mip_array;
} catch (ur_result_t Err) {
if (mip_array) {
UR_CHECK_ERROR(cuMipmappedArrayDestroy(mip_array));
}
return Err;
} catch (...) {
if (mip_array) {
UR_CHECK_ERROR(cuMipmappedArrayDestroy(mip_array));
}
return UR_RESULT_ERROR_UNKNOWN;
}
}
return UR_RESULT_SUCCESS;
}
UR_APIEXPORT ur_result_t UR_APICALL urBindlessImagesImageFreeExp(
ur_context_handle_t hContext, ur_device_handle_t hDevice,
ur_exp_image_mem_native_handle_t hImageMem) {
UR_ASSERT(std::find(hContext->getDevices().begin(),
hContext->getDevices().end(),
hDevice) != hContext->getDevices().end(),
UR_RESULT_ERROR_INVALID_CONTEXT);
ScopedContext Active(hDevice);
try {
UR_CHECK_ERROR(cuArrayDestroy((CUarray)hImageMem));
if (auto it = hDevice->ChildCuarrayFromMipmapMap.find((CUarray)hImageMem);
it != hDevice->ChildCuarrayFromMipmapMap.end()) {
UR_CHECK_ERROR(cuMipmappedArrayDestroy((CUmipmappedArray)it->second));
hDevice->ChildCuarrayFromMipmapMap.erase(it);
}
} catch (ur_result_t Err) {
return Err;
} catch (...) {
return UR_RESULT_ERROR_UNKNOWN;
}
return UR_RESULT_SUCCESS;
}
UR_APIEXPORT ur_result_t UR_APICALL urBindlessImagesUnsampledImageCreateExp(
ur_context_handle_t hContext, ur_device_handle_t hDevice,
ur_exp_image_mem_native_handle_t hImageMem,
const ur_image_format_t *pImageFormat,
[[maybe_unused]] const ur_image_desc_t *pImageDesc,
ur_exp_image_native_handle_t *phImage) {
UR_ASSERT(std::find(hContext->getDevices().begin(),
hContext->getDevices().end(),
hDevice) != hContext->getDevices().end(),
UR_RESULT_ERROR_INVALID_CONTEXT);
unsigned int NumChannels = 0;
UR_CHECK_ERROR(
urCalculateNumChannels(pImageFormat->channelOrder, &NumChannels));
CUarray_format format;
size_t PixelSizeBytes;
UR_CHECK_ERROR(urToCudaImageChannelFormat(pImageFormat->channelType,
pImageFormat->channelOrder, &format,
&PixelSizeBytes, nullptr));
try {
ScopedContext Active(hDevice);
CUDA_RESOURCE_DESC image_res_desc = {};
// We have a CUarray
image_res_desc.resType = CU_RESOURCE_TYPE_ARRAY;
image_res_desc.res.array.hArray = (CUarray)hImageMem;
// We create surfaces in the unsampled images case as it conforms to how
// CUDA deals with unsampled images.
CUsurfObject surface;
UR_CHECK_ERROR(cuSurfObjectCreate(&surface, &image_res_desc));
*phImage = (ur_exp_image_native_handle_t)surface;
} catch (ur_result_t Err) {
return Err;
} catch (...) {
return UR_RESULT_ERROR_UNKNOWN;
}
return UR_RESULT_SUCCESS;
}
UR_APIEXPORT ur_result_t UR_APICALL urBindlessImagesSampledImageCreateExp(
ur_context_handle_t hContext, ur_device_handle_t hDevice,
ur_exp_image_mem_native_handle_t hImageMem,
const ur_image_format_t *pImageFormat, const ur_image_desc_t *pImageDesc,
ur_sampler_handle_t hSampler, ur_exp_image_native_handle_t *phImage) {
UR_ASSERT(std::find(hContext->getDevices().begin(),
hContext->getDevices().end(),
hDevice) != hContext->getDevices().end(),
UR_RESULT_ERROR_INVALID_CONTEXT);
ScopedContext Active(hDevice);
unsigned int NumChannels = 0;
UR_CHECK_ERROR(
urCalculateNumChannels(pImageFormat->channelOrder, &NumChannels));
CUarray_format format;
size_t 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 = {};
unsigned int mem_type;
// If this function doesn't return successfully, we assume that hImageMem is
// a CUarray or CUmipmappedArray. If this function returns successfully, we
// check whether hImageMem is device memory (even managed memory isn't
// considered shared).
CUresult Err = cuPointerGetAttribute(
&mem_type, CU_POINTER_ATTRIBUTE_MEMORY_TYPE, (CUdeviceptr)hImageMem);
if (Err != CUDA_SUCCESS) {
// We have a CUarray
if (pImageDesc->numMipLevel == 1) {
image_res_desc.resType = CU_RESOURCE_TYPE_ARRAY;
image_res_desc.res.array.hArray = (CUarray)hImageMem;
}
// We have a CUmipmappedArray
else {
image_res_desc.resType = CU_RESOURCE_TYPE_MIPMAPPED_ARRAY;
image_res_desc.res.mipmap.hMipmappedArray = (CUmipmappedArray)hImageMem;
}
} else if (mem_type == CU_MEMORYTYPE_DEVICE ||
mem_type == CU_MEMORYTYPE_HOST) {
// We have a USM pointer.
// Images may be created from device or host USM.
if (pImageDesc->type == UR_MEM_TYPE_IMAGE1D) {
image_res_desc.resType = CU_RESOURCE_TYPE_LINEAR;
image_res_desc.res.linear.devPtr = (CUdeviceptr)hImageMem;
image_res_desc.res.linear.format = format;
image_res_desc.res.linear.numChannels = NumChannels;
image_res_desc.res.linear.sizeInBytes =
pImageDesc->width * PixelSizeBytes;
} else if (pImageDesc->type == UR_MEM_TYPE_IMAGE2D) {
image_res_desc.resType = CU_RESOURCE_TYPE_PITCH2D;
image_res_desc.res.pitch2D.devPtr = (CUdeviceptr)hImageMem;
image_res_desc.res.pitch2D.format = format;
image_res_desc.res.pitch2D.numChannels = NumChannels;
image_res_desc.res.pitch2D.width = pImageDesc->width;
image_res_desc.res.pitch2D.height = pImageDesc->height;
image_res_desc.res.pitch2D.pitchInBytes = pImageDesc->rowPitch;
} else if (pImageDesc->type == UR_MEM_TYPE_IMAGE3D) {
// Cannot create 3D image from USM.
return UR_RESULT_ERROR_INVALID_VALUE;
}
} else {
// Unknown image memory type.
return UR_RESULT_ERROR_INVALID_VALUE;
}
UR_CHECK_ERROR(urTextureCreate(hSampler, pImageDesc, image_res_desc,
normalized_dtype_flag, phImage));
} catch (ur_result_t Err) {
return Err;
} catch (...) {
return UR_RESULT_ERROR_UNKNOWN;
}
return UR_RESULT_SUCCESS;
}
UR_APIEXPORT ur_result_t UR_APICALL urBindlessImagesImageCopyExp(
ur_queue_handle_t hQueue, const void *pSrc, void *pDst,
const ur_image_desc_t *pSrcImageDesc, const ur_image_desc_t *pDstImageDesc,
const ur_image_format_t *pSrcImageFormat,
const ur_image_format_t *pDstImageFormat,
ur_exp_image_copy_region_t *pCopyRegion,
ur_exp_image_copy_flags_t imageCopyFlags, uint32_t numEventsInWaitList,
const ur_event_handle_t *phEventWaitList, ur_event_handle_t *phEvent) {
UR_ASSERT((imageCopyFlags == UR_EXP_IMAGE_COPY_FLAG_HOST_TO_DEVICE ||
imageCopyFlags == UR_EXP_IMAGE_COPY_FLAG_DEVICE_TO_HOST ||
imageCopyFlags == UR_EXP_IMAGE_COPY_FLAG_DEVICE_TO_DEVICE ||
imageCopyFlags == UR_EXP_IMAGE_COPY_FLAG_HOST_TO_HOST),
UR_RESULT_ERROR_INVALID_VALUE);
UR_ASSERT(pSrcImageFormat->channelOrder == pDstImageFormat->channelOrder,
UR_RESULT_ERROR_INVALID_ARGUMENT);
auto as_CUArray = [](const void *ptr) {
return static_cast<CUarray>(const_cast<void *>(ptr));
};
unsigned int NumChannels = 0;
size_t PixelSizeBytes = 0;
UR_CHECK_ERROR(
urCalculateNumChannels(pSrcImageFormat->channelOrder, &NumChannels));
// We need to get this now in bytes for calculating the total image size
// later.
UR_CHECK_ERROR(urToCudaImageChannelFormat(pSrcImageFormat->channelType,
pSrcImageFormat->channelOrder,
nullptr, &PixelSizeBytes, nullptr));
try {
ScopedContext Active(hQueue->getDevice());
CUstream Stream = hQueue->getNextTransferStream();
enqueueEventsWait(hQueue, Stream, numEventsInWaitList, phEventWaitList);
// We have to use a different copy function for each image dimensionality.
if (imageCopyFlags == UR_EXP_IMAGE_COPY_FLAG_HOST_TO_DEVICE) {
if (pDstImageDesc->type == UR_MEM_TYPE_IMAGE1D) {
CUmemorytype memType;
// Check what type of memory is pDst. If cuPointerGetAttribute returns
// somthing different from CUDA_SUCCESS then we know that pDst memory
// type is a CuArray. Otherwise, it's CU_MEMORYTYPE_DEVICE.
bool isCudaArray =
cuPointerGetAttribute(&memType, CU_POINTER_ATTRIBUTE_MEMORY_TYPE,
(CUdeviceptr)pDst) != CUDA_SUCCESS;
size_t CopyExtentBytes = PixelSizeBytes * pCopyRegion->copyExtent.width;
const char *SrcWithOffset = static_cast<const char *>(pSrc) +
(pCopyRegion->srcOffset.x * PixelSizeBytes);
if (isCudaArray) {
UR_CHECK_ERROR(cuMemcpyHtoAAsync(
(CUarray)pDst, pCopyRegion->dstOffset.x * PixelSizeBytes,
static_cast<const void *>(SrcWithOffset), CopyExtentBytes,
Stream));
} else if (memType == CU_MEMORYTYPE_DEVICE) {
void *DstWithOffset =
static_cast<void *>(static_cast<char *>(pDst) +
(PixelSizeBytes * pCopyRegion->dstOffset.x));
UR_CHECK_ERROR(
cuMemcpyHtoDAsync((CUdeviceptr)DstWithOffset,
static_cast<const void *>(SrcWithOffset),
CopyExtentBytes, Stream));
} else {
// This should be unreachable.
return UR_RESULT_ERROR_INVALID_VALUE;
}
} else if (pDstImageDesc->type == UR_MEM_TYPE_IMAGE2D) {
CUDA_MEMCPY2D cpy_desc = {};
cpy_desc.srcMemoryType = CUmemorytype_enum::CU_MEMORYTYPE_HOST;
cpy_desc.srcHost = pSrc;
cpy_desc.srcXInBytes = pCopyRegion->srcOffset.x * PixelSizeBytes;
cpy_desc.srcY = pCopyRegion->srcOffset.y;
cpy_desc.dstXInBytes = pCopyRegion->dstOffset.x * PixelSizeBytes;
cpy_desc.dstY = pCopyRegion->dstOffset.y;
cpy_desc.WidthInBytes = PixelSizeBytes * pCopyRegion->copyExtent.width;
cpy_desc.Height = pCopyRegion->copyExtent.height;
cpy_desc.srcPitch = pSrcImageDesc->width * PixelSizeBytes;
if (pDstImageDesc->rowPitch == 0) {
cpy_desc.dstMemoryType = CUmemorytype_enum::CU_MEMORYTYPE_ARRAY;
cpy_desc.dstArray = (CUarray)pDst;
} else {
// Pitched memory
cpy_desc.dstMemoryType = CUmemorytype_enum::CU_MEMORYTYPE_DEVICE;
cpy_desc.dstDevice = (CUdeviceptr)pDst;
cpy_desc.dstPitch = pDstImageDesc->rowPitch;
}
UR_CHECK_ERROR(cuMemcpy2DAsync(&cpy_desc, Stream));
} else if (pDstImageDesc->type == UR_MEM_TYPE_IMAGE3D) {
CUDA_MEMCPY3D cpy_desc = {};
cpy_desc.srcXInBytes = pCopyRegion->srcOffset.x * PixelSizeBytes;
cpy_desc.srcY = pCopyRegion->srcOffset.y;
cpy_desc.srcZ = pCopyRegion->srcOffset.z;
cpy_desc.dstXInBytes = pCopyRegion->dstOffset.x * PixelSizeBytes;
cpy_desc.dstY = pCopyRegion->dstOffset.y;
cpy_desc.dstZ = pCopyRegion->dstOffset.z;
cpy_desc.srcMemoryType = CUmemorytype_enum::CU_MEMORYTYPE_HOST;
cpy_desc.srcHost = pSrc;
cpy_desc.srcPitch = pSrcImageDesc->width * PixelSizeBytes;
cpy_desc.srcHeight = pSrcImageDesc->height;
cpy_desc.dstMemoryType = CUmemorytype_enum::CU_MEMORYTYPE_ARRAY;
cpy_desc.dstArray = (CUarray)pDst;
cpy_desc.WidthInBytes = PixelSizeBytes * pCopyRegion->copyExtent.width;
cpy_desc.Height = pCopyRegion->copyExtent.height;
cpy_desc.Depth = pCopyRegion->copyExtent.depth;
UR_CHECK_ERROR(cuMemcpy3DAsync(&cpy_desc, Stream));
} else if (pDstImageDesc->type == UR_MEM_TYPE_IMAGE1D_ARRAY ||
pDstImageDesc->type == UR_MEM_TYPE_IMAGE2D_ARRAY ||
pDstImageDesc->type == UR_MEM_TYPE_IMAGE_CUBEMAP_EXP) {
CUDA_MEMCPY3D cpy_desc = {};
cpy_desc.srcXInBytes = pCopyRegion->srcOffset.x * PixelSizeBytes;
cpy_desc.srcY = pCopyRegion->srcOffset.y;
cpy_desc.srcZ = pCopyRegion->srcOffset.z;
cpy_desc.dstXInBytes = pCopyRegion->dstOffset.x * PixelSizeBytes;
cpy_desc.dstY = pCopyRegion->dstOffset.y;
cpy_desc.dstZ = pCopyRegion->dstOffset.z;
cpy_desc.srcMemoryType = CUmemorytype_enum::CU_MEMORYTYPE_HOST;
cpy_desc.srcHost = pSrc;
cpy_desc.srcPitch = pSrcImageDesc->width * PixelSizeBytes;
cpy_desc.srcHeight = std::max(uint64_t{1}, pSrcImageDesc->height);
cpy_desc.dstMemoryType = CUmemorytype_enum::CU_MEMORYTYPE_ARRAY;
cpy_desc.dstArray = (CUarray)pDst;
cpy_desc.WidthInBytes = PixelSizeBytes * pCopyRegion->copyExtent.width;
cpy_desc.Height = std::max(uint64_t{1}, pCopyRegion->copyExtent.height);
cpy_desc.Depth = pCopyRegion->copyExtent.depth;
UR_CHECK_ERROR(cuMemcpy3DAsync(&cpy_desc, Stream));
}
} else if (imageCopyFlags == UR_EXP_IMAGE_COPY_FLAG_DEVICE_TO_HOST) {
if (pSrcImageDesc->type == UR_MEM_TYPE_IMAGE1D) {
CUmemorytype memType;
// Check what type of memory is pSrc. If cuPointerGetAttribute returns
// somthing different from CUDA_SUCCESS then we know that pSrc memory
// type is a CuArray. Otherwise, it's CU_MEMORYTYPE_DEVICE.
bool isCudaArray =
cuPointerGetAttribute(&memType, CU_POINTER_ATTRIBUTE_MEMORY_TYPE,
(CUdeviceptr)pSrc) != CUDA_SUCCESS;
size_t CopyExtentBytes = PixelSizeBytes * pCopyRegion->copyExtent.width;
void *DstWithOffset =
static_cast<void *>(static_cast<char *>(pDst) +
(PixelSizeBytes * pCopyRegion->dstOffset.x));
if (isCudaArray) {
UR_CHECK_ERROR(
cuMemcpyAtoHAsync(DstWithOffset, as_CUArray(pSrc),
PixelSizeBytes * pCopyRegion->srcOffset.x,
CopyExtentBytes, Stream));
} else if (memType == CU_MEMORYTYPE_DEVICE) {
const char *SrcWithOffset =
static_cast<const char *>(pSrc) +
(pCopyRegion->srcOffset.x * PixelSizeBytes);
UR_CHECK_ERROR(cuMemcpyDtoHAsync(DstWithOffset,
(CUdeviceptr)SrcWithOffset,
CopyExtentBytes, Stream));
} else {
// This should be unreachable.
return UR_RESULT_ERROR_INVALID_VALUE;
}
} else if (pSrcImageDesc->type == UR_MEM_TYPE_IMAGE2D) {
CUDA_MEMCPY2D cpy_desc = {};
cpy_desc.srcXInBytes = pCopyRegion->srcOffset.x * PixelSizeBytes;
cpy_desc.srcY = pCopyRegion->srcOffset.y;
cpy_desc.dstXInBytes = pCopyRegion->dstOffset.x * PixelSizeBytes;
cpy_desc.dstY = pCopyRegion->dstOffset.y;
cpy_desc.WidthInBytes = PixelSizeBytes * pCopyRegion->copyExtent.width;
cpy_desc.Height = pCopyRegion->copyExtent.height;
cpy_desc.dstPitch = pDstImageDesc->width * PixelSizeBytes;
cpy_desc.dstMemoryType = CUmemorytype_enum::CU_MEMORYTYPE_HOST;
cpy_desc.dstHost = pDst;
if (pSrcImageDesc->rowPitch == 0) {
cpy_desc.srcMemoryType = CUmemorytype_enum::CU_MEMORYTYPE_ARRAY;
cpy_desc.srcArray = as_CUArray(pSrc);
} else {
// Pitched memory
cpy_desc.srcPitch = pSrcImageDesc->rowPitch;
cpy_desc.srcMemoryType = CUmemorytype_enum::CU_MEMORYTYPE_DEVICE;
cpy_desc.srcDevice = (CUdeviceptr)pSrc;
}
UR_CHECK_ERROR(cuMemcpy2DAsync(&cpy_desc, Stream));
} else if (pSrcImageDesc->type == UR_MEM_TYPE_IMAGE3D) {
CUDA_MEMCPY3D cpy_desc = {};
cpy_desc.srcXInBytes = pCopyRegion->srcOffset.x * PixelSizeBytes;
cpy_desc.srcY = pCopyRegion->srcOffset.y;
cpy_desc.srcZ = pCopyRegion->srcOffset.z;
cpy_desc.dstXInBytes = pCopyRegion->dstOffset.x * PixelSizeBytes;
cpy_desc.dstY = pCopyRegion->dstOffset.y;
cpy_desc.dstZ = pCopyRegion->dstOffset.z;
cpy_desc.srcMemoryType = CUmemorytype_enum::CU_MEMORYTYPE_ARRAY;
cpy_desc.srcArray = as_CUArray(pSrc);
cpy_desc.dstMemoryType = CUmemorytype_enum::CU_MEMORYTYPE_HOST;
cpy_desc.dstHost = pDst;
cpy_desc.dstPitch = pDstImageDesc->width * PixelSizeBytes;
cpy_desc.dstHeight = pDstImageDesc->height;
cpy_desc.WidthInBytes = PixelSizeBytes * pCopyRegion->copyExtent.width;
cpy_desc.Height = pCopyRegion->copyExtent.height;
cpy_desc.Depth = pCopyRegion->copyExtent.depth;
UR_CHECK_ERROR(cuMemcpy3DAsync(&cpy_desc, Stream));
} else if (pSrcImageDesc->type == UR_MEM_TYPE_IMAGE1D_ARRAY ||
pSrcImageDesc->type == UR_MEM_TYPE_IMAGE2D_ARRAY ||
pSrcImageDesc->type == UR_MEM_TYPE_IMAGE_CUBEMAP_EXP) {
CUDA_MEMCPY3D cpy_desc = {};
cpy_desc.srcXInBytes = pCopyRegion->srcOffset.x * PixelSizeBytes;
cpy_desc.srcY = pCopyRegion->srcOffset.y;
cpy_desc.srcZ = pCopyRegion->srcOffset.z;
cpy_desc.dstXInBytes = pCopyRegion->dstOffset.x * PixelSizeBytes;
cpy_desc.dstY = pCopyRegion->dstOffset.y;
cpy_desc.dstZ = pCopyRegion->dstOffset.z;
cpy_desc.srcMemoryType = CUmemorytype_enum::CU_MEMORYTYPE_ARRAY;
cpy_desc.srcArray = as_CUArray(pSrc);
cpy_desc.dstMemoryType = CUmemorytype_enum::CU_MEMORYTYPE_HOST;
cpy_desc.dstHost = pDst;
cpy_desc.dstPitch = pDstImageDesc->width * PixelSizeBytes;
cpy_desc.dstHeight = std::max(uint64_t{1}, pDstImageDesc->height);
cpy_desc.WidthInBytes = PixelSizeBytes * pCopyRegion->copyExtent.width;
cpy_desc.Height = std::max(uint64_t{1}, pCopyRegion->copyExtent.height);
cpy_desc.Depth = pCopyRegion->copyExtent.depth;
UR_CHECK_ERROR(cuMemcpy3DAsync(&cpy_desc, Stream));
}
} else {
// imageCopyFlags == UR_EXP_IMAGE_COPY_FLAG_DEVICE_TO_DEVICE ||
// imageCopyFlags == UR_EXP_IMAGE_COPY_FLAG_HOST_TO_HOST
// we don't support copying between different image types.
if (pSrcImageDesc->type != pDstImageDesc->type) {
UR_LOG(ERR,
"Unsupported copy operation between different type of images");
return UR_RESULT_ERROR_UNSUPPORTED_FEATURE;
}
// All the following async copy function calls should be treated as
// synchronous because of the explicit call to cuStreamSynchronize at
// the end
if (pSrcImageDesc->type == UR_MEM_TYPE_IMAGE1D) {
// Check what type of memory pSrc and pDst are to set the correct
// attributes of cpy_desc.
// If cuPointerGetAttribute returns something different from
// CUDA_SUCCESS then we know that the memory type is a CuArray.
// Otherwise, it's CU_MEMORYTYPE_DEVICE.
CUmemorytype memType;
bool isSrcCudaArray =
cuPointerGetAttribute(&memType, CU_POINTER_ATTRIBUTE_MEMORY_TYPE,
(CUdeviceptr)pSrc) != CUDA_SUCCESS;
bool isDstCudaArray =
cuPointerGetAttribute(&memType, CU_POINTER_ATTRIBUTE_MEMORY_TYPE,
(CUdeviceptr)pDst) != CUDA_SUCCESS;
CUDA_MEMCPY2D cpy_desc = {};
cpy_desc.srcXInBytes = pCopyRegion->srcOffset.x * PixelSizeBytes;
cpy_desc.srcY = 0;
cpy_desc.dstXInBytes = pCopyRegion->dstOffset.x * PixelSizeBytes;
cpy_desc.dstY = 0;
cpy_desc.WidthInBytes = PixelSizeBytes * pCopyRegion->copyExtent.width;
cpy_desc.Height = 1;
if (isSrcCudaArray) {
cpy_desc.srcMemoryType = CUmemorytype_enum::CU_MEMORYTYPE_ARRAY;
cpy_desc.srcArray = as_CUArray(pSrc);
} else {
getUSMHostOrDevicePtr(pSrc, &cpy_desc.srcMemoryType,
&cpy_desc.srcDevice, &cpy_desc.srcHost);
}
if (isDstCudaArray) {
cpy_desc.dstMemoryType = CUmemorytype_enum::CU_MEMORYTYPE_ARRAY;
cpy_desc.dstArray = (CUarray)pDst;
} else {
getUSMHostOrDevicePtr(pDst, &cpy_desc.dstMemoryType,
&cpy_desc.dstDevice, &cpy_desc.dstHost);
}
UR_CHECK_ERROR(cuMemcpy2DAsync(&cpy_desc, Stream));
} else if (pSrcImageDesc->type == UR_MEM_TYPE_IMAGE2D) {
CUDA_MEMCPY2D cpy_desc = {};
cpy_desc.srcXInBytes = pCopyRegion->srcOffset.x * PixelSizeBytes;
cpy_desc.srcY = pCopyRegion->srcOffset.y;
cpy_desc.dstXInBytes = pCopyRegion->dstOffset.x * PixelSizeBytes;
cpy_desc.dstY = pCopyRegion->dstOffset.y;
cpy_desc.WidthInBytes = PixelSizeBytes * pCopyRegion->copyExtent.width;
cpy_desc.Height = pCopyRegion->copyExtent.height;
if (pSrcImageDesc->rowPitch == 0) {
cpy_desc.srcMemoryType = CUmemorytype_enum::CU_MEMORYTYPE_ARRAY;
cpy_desc.srcArray = as_CUArray(pSrc);
} else {
// Pitched memory
cpy_desc.srcPitch = pSrcImageDesc->rowPitch;
getUSMHostOrDevicePtr(pSrc, &cpy_desc.srcMemoryType,
&cpy_desc.srcDevice, &cpy_desc.srcHost);
}
if (pDstImageDesc->rowPitch == 0) {
cpy_desc.dstMemoryType = CUmemorytype_enum::CU_MEMORYTYPE_ARRAY;
cpy_desc.dstArray = (CUarray)pDst;
} else {
// Pitched memory
cpy_desc.dstPitch = pDstImageDesc->rowPitch;
getUSMHostOrDevicePtr(pDst, &cpy_desc.dstMemoryType,
&cpy_desc.dstDevice, &cpy_desc.dstHost);
}
UR_CHECK_ERROR(cuMemcpy2DAsync(&cpy_desc, Stream));
} else if (pSrcImageDesc->type == UR_MEM_TYPE_IMAGE3D) {
CUDA_MEMCPY3D cpy_desc = {};
cpy_desc.srcXInBytes = pCopyRegion->srcOffset.x * PixelSizeBytes;
cpy_desc.srcY = pCopyRegion->srcOffset.y;
cpy_desc.srcZ = pCopyRegion->srcOffset.z;
cpy_desc.dstXInBytes = pCopyRegion->dstOffset.x * PixelSizeBytes;
cpy_desc.dstY = pCopyRegion->dstOffset.y;
cpy_desc.dstZ = pCopyRegion->dstOffset.z;
cpy_desc.srcMemoryType = CUmemorytype_enum::CU_MEMORYTYPE_ARRAY;
cpy_desc.srcArray = as_CUArray(pSrc);
cpy_desc.dstMemoryType = CUmemorytype_enum::CU_MEMORYTYPE_ARRAY;
cpy_desc.dstArray = (CUarray)pDst;
cpy_desc.WidthInBytes = PixelSizeBytes * pCopyRegion->copyExtent.width;
cpy_desc.Height = pCopyRegion->copyExtent.height;
cpy_desc.Depth = pCopyRegion->copyExtent.depth;
UR_CHECK_ERROR(cuMemcpy3DAsync(&cpy_desc, Stream));
} else if (pSrcImageDesc->type == UR_MEM_TYPE_IMAGE1D_ARRAY ||
pSrcImageDesc->type == UR_MEM_TYPE_IMAGE2D_ARRAY ||
pSrcImageDesc->type == UR_MEM_TYPE_IMAGE_CUBEMAP_EXP) {
CUDA_MEMCPY3D cpy_desc = {};
cpy_desc.srcXInBytes = pCopyRegion->srcOffset.x * PixelSizeBytes;
cpy_desc.srcY = pCopyRegion->srcOffset.y;
cpy_desc.srcZ = pCopyRegion->srcOffset.z;
cpy_desc.dstXInBytes = pCopyRegion->dstOffset.x * PixelSizeBytes;
cpy_desc.dstY = pCopyRegion->dstOffset.y;
cpy_desc.dstZ = pCopyRegion->dstOffset.z;
cpy_desc.srcMemoryType = CUmemorytype_enum::CU_MEMORYTYPE_ARRAY;
cpy_desc.srcArray = as_CUArray(pSrc);
cpy_desc.dstMemoryType = CUmemorytype_enum::CU_MEMORYTYPE_ARRAY;
cpy_desc.dstArray = (CUarray)pDst;
cpy_desc.WidthInBytes = PixelSizeBytes * pCopyRegion->copyExtent.width;
cpy_desc.Height = std::max(uint64_t{1}, pCopyRegion->copyExtent.height);
cpy_desc.Depth = pCopyRegion->copyExtent.depth;
UR_CHECK_ERROR(cuMemcpy3DAsync(&cpy_desc, Stream));
}
// Synchronization is required here to handle the case of copying data
// from host to device, then device to device and finally device to host.
// Without it, there is a risk of the copies not being executed in the
// intended order.
cuStreamSynchronize(Stream);
}
if (phEvent) {
auto NewEvent = ur_event_handle_t_::makeNative(UR_COMMAND_MEM_IMAGE_COPY,
hQueue, Stream);
NewEvent->record();
*phEvent = NewEvent;
}
} catch (ur_result_t Err) {
return Err;
} catch (...) {
return UR_RESULT_ERROR_UNKNOWN;
}
return UR_RESULT_SUCCESS;
}
UR_APIEXPORT ur_result_t UR_APICALL urBindlessImagesImageGetInfoExp(
ur_context_handle_t, ur_exp_image_mem_native_handle_t hImageMem,
ur_image_info_t propName, void *pPropValue, size_t *pPropSizeRet) {
CUarray hCUarray;
CUresult Err = cuMipmappedArrayGetLevel(
&hCUarray, reinterpret_cast<CUmipmappedArray>(hImageMem), 0);
// If cuMipmappedArrayGetLevel failed, hImageMem is already CUarray.
if (Err != CUDA_SUCCESS) {
hCUarray = reinterpret_cast<CUarray>(hImageMem);
}
CUDA_ARRAY3D_DESCRIPTOR ArrayDesc;
UR_CHECK_ERROR(cuArray3DGetDescriptor(&ArrayDesc, hCUarray));
switch (propName) {
case UR_IMAGE_INFO_WIDTH:
if (pPropValue) {
*(size_t *)pPropValue = ArrayDesc.Width;
}
if (pPropSizeRet) {
*pPropSizeRet = sizeof(size_t);
}
return UR_RESULT_SUCCESS;
case UR_IMAGE_INFO_HEIGHT:
if (pPropValue) {
*(size_t *)pPropValue = ArrayDesc.Height;
}
if (pPropSizeRet) {
*pPropSizeRet = sizeof(size_t);
}
return UR_RESULT_SUCCESS;
case UR_IMAGE_INFO_DEPTH:
if (pPropValue) {
*(size_t *)pPropValue = ArrayDesc.Depth;
}
if (pPropSizeRet) {
*pPropSizeRet = sizeof(size_t);
}
return UR_RESULT_SUCCESS;
case UR_IMAGE_INFO_FORMAT:
ur_image_channel_type_t ChannelType;
ur_image_channel_order_t ChannelOrder;
UR_CHECK_ERROR(cudaToUrImageChannelFormat(ArrayDesc.Format, &ChannelType));
// CUDA does not have a notion of channel "order" in the same way that
// SYCL 1.2.1 does.
switch (ArrayDesc.NumChannels) {
case 1:
ChannelOrder = UR_IMAGE_CHANNEL_ORDER_R;
break;
case 2:
ChannelOrder = UR_IMAGE_CHANNEL_ORDER_RG;
break;
case 4:
ChannelOrder = UR_IMAGE_CHANNEL_ORDER_RGBA;
break;
default:
setErrorMessage("Unexpected NumChannels returned by CUDA",
UR_RESULT_ERROR_ADAPTER_SPECIFIC);
return UR_RESULT_ERROR_ADAPTER_SPECIFIC;
}
if (pPropValue) {
((ur_image_format_t *)pPropValue)->channelType = ChannelType;
((ur_image_format_t *)pPropValue)->channelOrder = ChannelOrder;
}
if (pPropSizeRet) {
*pPropSizeRet = sizeof(ur_image_format_t);