Vladislav Sytchenko
4829a7c215
What Cuda refers to "linear texture memory" is the OpenCL equivalent of CL_MEM_OBJECT_IMAGE1D_BUFFER. For these types of allocations we should create a typed buffer instead of an image. Currently there is no check in the texture fetch functions as to what kind of SRD is written into the texture object, so any kind of incorrect programming will cause the TA to hang. Fortunately for us, every one writes correct code :) Change-Id: I80dab85a992f2c0754ebf303d40ac6b5e045c7c1
387 خطوط
15 KiB
C++
387 خطوط
15 KiB
C++
/*
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Copyright (c) 2015 - present Advanced Micro Devices, Inc. All rights reserved.
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in
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all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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THE SOFTWARE.
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*/
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#pragma once
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#if defined(__cplusplus)
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#include <hip/hip_vector_types.h>
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#include <hip/texture_types.h>
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#include <hip/hcc_detail/ockl_image.h>
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#include <type_traits>
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#define TEXTURE_PARAMETERS_INIT \
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unsigned int ADDRESS_SPACE_CONSTANT* i = (unsigned int ADDRESS_SPACE_CONSTANT*)t.textureObject; \
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unsigned int ADDRESS_SPACE_CONSTANT* s = i + HIP_SAMPLER_OBJECT_OFFSET_DWORD;
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template<typename T>
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struct __hip_is_tex_channel_type
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{
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static constexpr bool value =
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std::is_same<T, char>::value ||
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std::is_same<T, unsigned char>::value ||
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std::is_same<T, short>::value ||
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std::is_same<T, unsigned short>::value ||
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std::is_same<T, int>::value ||
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std::is_same<T, unsigned int>::value ||
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std::is_same<T, float>::value;
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};
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template<
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typename T,
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unsigned int rank>
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struct __hip_is_tex_channel_type<HIP_vector_type<T, rank>>
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{
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static constexpr bool value =
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__hip_is_tex_channel_type<T>::value &&
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((rank == 1) ||
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(rank == 2) ||
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(rank == 4));
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};
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template<typename T>
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struct __hip_is_tex_normalized_channel_type
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{
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static constexpr bool value =
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std::is_same<T, char>::value ||
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std::is_same<T, unsigned char>::value ||
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std::is_same<T, short>::value ||
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std::is_same<T, unsigned short>::value;
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};
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template<
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typename T,
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unsigned int rank>
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struct __hip_is_tex_normalized_channel_type<HIP_vector_type<T, rank>>
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{
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static constexpr bool value =
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__hip_is_tex_normalized_channel_type<T>::value &&
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((rank == 1) ||
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(rank == 2) ||
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(rank == 4));
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};
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template <
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typename T,
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hipTextureReadMode readMode,
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typename Enable = void>
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struct __hip_tex_ret
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{
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static_assert(std::is_same<Enable, void>::value, "Invalid channel type!");
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};
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template <
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typename T,
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hipTextureReadMode readMode>
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using __hip_tex_ret_t = typename __hip_tex_ret<T, readMode, bool>::type;
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template <typename T>
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struct __hip_tex_ret<
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T,
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hipReadModeElementType,
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typename std::enable_if<__hip_is_tex_channel_type<T>::value, bool>::type>
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{
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using type = T;
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};
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template<
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typename T,
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unsigned int rank>
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struct __hip_tex_ret<
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HIP_vector_type<T, rank>,
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hipReadModeElementType,
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typename std::enable_if<__hip_is_tex_channel_type<HIP_vector_type<T, rank>>::value, bool>::type>
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{
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using type = HIP_vector_type<__hip_tex_ret_t<T, hipReadModeElementType>, rank>;
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};
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template<typename T>
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struct __hip_tex_ret<
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T,
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hipReadModeNormalizedFloat,
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typename std::enable_if<__hip_is_tex_normalized_channel_type<T>::value, bool>::type>
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{
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using type = float;
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};
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template<
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typename T,
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unsigned int rank>
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struct __hip_tex_ret<
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HIP_vector_type<T, rank>,
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hipReadModeNormalizedFloat,
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typename std::enable_if<__hip_is_tex_normalized_channel_type<HIP_vector_type<T, rank>>::value, bool>::type>
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{
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using type = HIP_vector_type<__hip_tex_ret_t<T, hipReadModeNormalizedFloat>, rank>;
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};
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template <typename T, hipTextureReadMode readMode>
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static __forceinline__ __device__ __hip_tex_ret_t<T, readMode> tex1Dfetch(texture<T, hipTextureType1D, readMode> t, int x)
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{
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TEXTURE_PARAMETERS_INIT;
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auto tmp = __ockl_image_load_1Db(i, x);
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return *reinterpret_cast<__hip_tex_ret_t<T, readMode>*>(&tmp);
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}
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template <typename T, hipTextureReadMode readMode>
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static __forceinline__ __device__ __hip_tex_ret_t<T, readMode> tex1D(texture<T, hipTextureType1D, readMode> t, float x)
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{
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TEXTURE_PARAMETERS_INIT;
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auto tmp = __ockl_image_sample_1D(i, s, x);
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return *reinterpret_cast<__hip_tex_ret_t<T, readMode>*>(&tmp);
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}
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template <typename T, hipTextureReadMode readMode>
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static __forceinline__ __device__ __hip_tex_ret_t<T, readMode> tex2D(texture<T, hipTextureType2D, readMode> t, float x, float y)
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{
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TEXTURE_PARAMETERS_INIT;
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auto tmp = __ockl_image_sample_2D(i, s, float2(x, y).data);
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return *reinterpret_cast<__hip_tex_ret_t<T, readMode>*>(&tmp);
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}
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template <typename T, hipTextureReadMode readMode>
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static __forceinline__ __device__ __hip_tex_ret_t<T, readMode> tex1DLayered(texture<T, hipTextureType1DLayered, readMode> t, float x, int layer)
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{
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TEXTURE_PARAMETERS_INIT;
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auto tmp = __ockl_image_sample_1Da(i, s, float2(x, layer).data);
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return *reinterpret_cast<__hip_tex_ret_t<T, readMode>*>(&tmp);
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}
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template <typename T, hipTextureReadMode readMode>
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static __forceinline__ __device__ __hip_tex_ret_t<T, readMode> tex2DLayered(texture<T, hipTextureType2DLayered, readMode> t, float x, float y, int layer)
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{
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TEXTURE_PARAMETERS_INIT;
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auto tmp = __ockl_image_sample_2Da(i, s, float4(x, y, layer, 0.0f).data);
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return *reinterpret_cast<__hip_tex_ret_t<T, readMode>*>(&tmp);
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}
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template <typename T, hipTextureReadMode readMode>
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static __forceinline__ __device__ __hip_tex_ret_t<T, readMode> tex3D(texture<T, hipTextureType3D, readMode> t, float x, float y, float z)
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{
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TEXTURE_PARAMETERS_INIT;
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auto tmp = __ockl_image_sample_3D(i, s, float4(x, y, z, 0.0f).data);
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return *reinterpret_cast<__hip_tex_ret_t<T, readMode>*>(&tmp);
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}
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template <typename T, hipTextureReadMode readMode>
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static __forceinline__ __device__ __hip_tex_ret_t<T, readMode> texCubemap(texture<T, hipTextureTypeCubemap, readMode> t, float x, float y, float z)
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{
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TEXTURE_PARAMETERS_INIT;
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auto tmp = __ockl_image_sample_CM(i, s, float4(x, y, z, 0.0f).data);
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return *reinterpret_cast<__hip_tex_ret_t<T, readMode>*>(&tmp);
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}
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template <typename T, hipTextureReadMode readMode>
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static __forceinline__ __device__ __hip_tex_ret_t<T, readMode> tex1DLod(texture<T, hipTextureType1D, readMode> t, float x, float level)
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{
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TEXTURE_PARAMETERS_INIT;
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auto tmp = __ockl_image_sample_lod_1D(i, s, x, level);
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return *reinterpret_cast<__hip_tex_ret_t<T, readMode>*>(&tmp);
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}
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template <typename T, hipTextureReadMode readMode>
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static __forceinline__ __device__ __hip_tex_ret_t<T, readMode> tex2DLod(texture<T, hipTextureType1D, readMode> t, float x, float y, float level)
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{
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TEXTURE_PARAMETERS_INIT;
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auto tmp = __ockl_image_sample_lod_2D(i, s, float2(x, y).data, level);
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return *reinterpret_cast<__hip_tex_ret_t<T, readMode>*>(&tmp);
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}
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template <typename T, hipTextureReadMode readMode>
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static __forceinline__ __device__ __hip_tex_ret_t<T, readMode> tex1DLayeredLod(texture<T, hipTextureType1DLayered, readMode> t, float x, int layer, float level)
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{
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TEXTURE_PARAMETERS_INIT;
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auto tmp = __ockl_image_sample_lod_1Da(i, s, float2(x, layer).data, level);
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return *reinterpret_cast<__hip_tex_ret_t<T, readMode>*>(&tmp);
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}
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template <typename T, hipTextureReadMode readMode>
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static __forceinline__ __device__ __hip_tex_ret_t<T, readMode> tex2DLayeredLod(texture<T, hipTextureType2DLayered, readMode> t, float x, float y, int layer, float level)
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{
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TEXTURE_PARAMETERS_INIT;
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auto tmp = __ockl_image_sample_lod_2Da(i, s, float4(x, y, layer, 0.0f).data, level);
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return *reinterpret_cast<__hip_tex_ret_t<T, readMode>*>(&tmp);
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}
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template <typename T, hipTextureReadMode readMode>
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static __forceinline__ __device__ __hip_tex_ret_t<T, readMode> tex3DLod(texture<T, hipTextureType3D, readMode> t, float x, float y, float z, float level)
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{
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TEXTURE_PARAMETERS_INIT;
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auto tmp = __ockl_image_sample_lod_3D(i, s, float4(x, y, z, 0.0f).data, level);
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return *reinterpret_cast<__hip_tex_ret_t<T, readMode>*>(&tmp);
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}
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template <typename T, hipTextureReadMode readMode>
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static __forceinline__ __device__ __hip_tex_ret_t<T, readMode> texCubemapLod(texture<T, hipTextureTypeCubemap, readMode> t, float x, float y, float z, float level)
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{
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TEXTURE_PARAMETERS_INIT;
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auto tmp = __ockl_image_sample_lod_CM(i, s, float4(x, y, z, 0.0f).data, level);
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return *reinterpret_cast<__hip_tex_ret_t<T, readMode>*>(&tmp);
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}
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template <typename T, hipTextureReadMode readMode>
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static __forceinline__ __device__ __hip_tex_ret_t<T, readMode> texCubemapLayered(texture<T, hipTextureTypeCubemap, readMode> t, float x, float y, float z, int layer)
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{
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TEXTURE_PARAMETERS_INIT;
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auto tmp = __ockl_image_sample_CMa(i, s, float4(x, y, z, layer).data);
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return *reinterpret_cast<__hip_tex_ret_t<T, readMode>*>(&tmp);
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}
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template <typename T, hipTextureReadMode readMode>
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static __forceinline__ __device__ __hip_tex_ret_t<T, readMode> texCubemapLayeredLod(texture<T, hipTextureTypeCubemap, readMode> t, float x, float y, float z, int layer, float level)
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{
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TEXTURE_PARAMETERS_INIT;
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auto tmp = __ockl_image_sample_lod_CMa(i, s, float4(x, y, z, layer).data, level);
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return *reinterpret_cast<__hip_tex_ret_t<T, readMode>*>(&tmp);
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}
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template <typename T, hipTextureReadMode readMode>
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static __forceinline__ __device__ __hip_tex_ret_t<T, readMode> texCubemapGrad(texture<T, hipTextureTypeCubemap, readMode> t, float x, float y, float z, float4 dPdx, float4 dPdy)
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{
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TEXTURE_PARAMETERS_INIT;
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// TODO missing in device libs.
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// auto tmp = __ockl_image_sample_grad_CM(i, s, float4(x, y, z, 0.0f).data, float4(dPdx.x, dPdx.y, dPdx.z, 0.0f).data, float4(dPdy.x, dPdy.y, dPdy.z, 0.0f).data);
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// return *reinterpret_cast<__hip_tex_ret_t<T, readMode>*>(&tmp);
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return {};
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}
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template <typename T, hipTextureReadMode readMode>
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static __forceinline__ __device__ __hip_tex_ret_t<T, readMode> texCubemapLayeredGrad(texture<T, hipTextureTypeCubemapLayered, readMode> t, float x, float y, float z, int layer, float4 dPdx, float4 dPdy)
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{
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TEXTURE_PARAMETERS_INIT;
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// TODO missing in device libs.
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// auto tmp = __ockl_image_sample_grad_CMa(i, s, float4(x, y, z, layer).data, float4(dPdx.x, dPdx.y, dPdx.z, 0.0f).data, float4(dPdy.x, dPdy.y, dPdy.z, 0.0f).data);
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// return *reinterpret_cast<__hip_tex_ret_t<T, readMode>*>(&tmp);
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return {};
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}
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template <typename T, hipTextureReadMode readMode>
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static __forceinline__ __device__ __hip_tex_ret_t<T, readMode> tex1DGrad(texture<T, hipTextureType1D, readMode> t, float x, float dPdx, float dPdy)
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{
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TEXTURE_PARAMETERS_INIT;
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auto tmp = __ockl_image_sample_grad_1D(i, s, x, dPdx, dPdy);
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return *reinterpret_cast<__hip_tex_ret_t<T, readMode>*>(&tmp);
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}
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template <typename T, hipTextureReadMode readMode>
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static __forceinline__ __device__ __hip_tex_ret_t<T, readMode> tex2DGrad(texture<T, hipTextureType2D, readMode> t, float x, float y, float2 dPdx, float2 dPdy)
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{
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TEXTURE_PARAMETERS_INIT;
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auto tmp = __ockl_image_sample_grad_2D(i, s, float2(x, y).data, float2(dPdx.x, dPdx.y).data, float2(dPdy.x, dPdy.y).data);
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return *reinterpret_cast<__hip_tex_ret_t<T, readMode>*>(&tmp);
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}
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template <typename T, hipTextureReadMode readMode>
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static __forceinline__ __device__ __hip_tex_ret_t<T, readMode> tex1DLayeredGrad(texture<T, hipTextureType1DLayered, readMode> t, float x, int layer, float dPdx, float dPdy)
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{
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TEXTURE_PARAMETERS_INIT;
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auto tmp = __ockl_image_sample_grad_1Da(i, s, float2(x, layer).data, dPdx, dPdy);
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return *reinterpret_cast<__hip_tex_ret_t<T, readMode>*>(&tmp);
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}
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template <typename T, hipTextureReadMode readMode>
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static __forceinline__ __device__ __hip_tex_ret_t<T, readMode> tex2DLayeredGrad(texture<T, hipTextureType2DLayered, hipReadModeElementType> t, float x, float y, int layer, float2 dPdx, float2 dPdy)
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{
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TEXTURE_PARAMETERS_INIT;
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auto tmp = __ockl_image_sample_grad_2Da(i, s, float4(x, y, layer, 0.0f).data, float2(dPdx.x, dPdx.y).data, float2(dPdy.x, dPdy.y).data);
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return *reinterpret_cast<__hip_tex_ret_t<T, readMode>*>(&tmp);
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}
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template <typename T, hipTextureReadMode readMode>
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static __forceinline__ __device__ __hip_tex_ret_t<T, readMode> tex3DGrad(texture<T, hipTextureType3D, readMode> t, float x, float y, float z, float4 dPdx, float4 dPdy)
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{
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TEXTURE_PARAMETERS_INIT;
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auto tmp = __ockl_image_sample_grad_3D(i, s, float4(x, y, z, 0.0f).data, float4(dPdx.x, dPdx.y, dPdx.z, 0.0f).data, float4(dPdy.x, dPdy.y, dPdy.z, 0.0f).data);
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return *reinterpret_cast<__hip_tex_ret_t<T, readMode>*>(&tmp);
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}
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template <
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typename T,
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hipTextureReadMode readMode,
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typename Enable = void>
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struct __hip_tex2dgather_ret
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{
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static_assert(std::is_same<Enable, void>::value, "Invalid channel type!");
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};
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template <
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typename T,
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hipTextureReadMode readMode>
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using __hip_tex2dgather_ret_t = typename __hip_tex2dgather_ret<T, readMode, bool>::type;
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template <typename T>
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struct __hip_tex2dgather_ret<
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T,
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hipReadModeElementType,
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typename std::enable_if<__hip_is_tex_channel_type<T>::value, bool>::type>
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{
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using type = HIP_vector_type<T, 4>;
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};
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template<
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typename T,
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unsigned int rank>
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struct __hip_tex2dgather_ret<
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HIP_vector_type<T, rank>,
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hipReadModeElementType,
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typename std::enable_if<__hip_is_tex_channel_type<HIP_vector_type<T, rank>>::value, bool>::type>
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{
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using type = HIP_vector_type<T, 4>;
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};
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template <typename T>
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struct __hip_tex2dgather_ret<
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T,
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hipReadModeNormalizedFloat,
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typename std::enable_if<__hip_is_tex_normalized_channel_type<T>::value, bool>::type>
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{
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using type = float4;
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};
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template <typename T, hipTextureReadMode readMode>
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static __forceinline__ __device__ __hip_tex2dgather_ret_t<T, readMode> tex2Dgather(texture<T, hipTextureType2D, readMode> t, float x, float y, int comp=0)
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{
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TEXTURE_PARAMETERS_INIT;
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switch (comp) {
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case 1: {
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auto tmp = __ockl_image_gather4g_2D(i, s, float2(x, y).data);
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return *reinterpret_cast<__hip_tex2dgather_ret_t<T, readMode>*>(&tmp);
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}
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case 2: {
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auto tmp = __ockl_image_gather4b_2D(i, s, float2(x, y).data);
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return *reinterpret_cast<__hip_tex2dgather_ret_t<T, readMode>*>(&tmp);
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}
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case 3: {
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auto tmp = __ockl_image_gather4a_2D(i, s, float2(x, y).data);
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return *reinterpret_cast<__hip_tex2dgather_ret_t<T, readMode>*>(&tmp);
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}
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default: {
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auto tmp = __ockl_image_gather4r_2D(i, s, float2(x, y).data);
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return *reinterpret_cast<__hip_tex2dgather_ret_t<T, readMode>*>(&tmp);
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}
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}
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return {};
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}
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#endif
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