Add support for creating typed buffers
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
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@@ -30,6 +30,8 @@ extern "C" {
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__device__ float4::Native_vec_ __ockl_image_load_1D(unsigned int ADDRESS_SPACE_CONSTANT*i, int c);
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__device__ float4::Native_vec_ __ockl_image_load_1Db(unsigned int ADDRESS_SPACE_CONSTANT*i, int c);
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__device__ float4::Native_vec_ __ockl_image_load_1Da(unsigned int ADDRESS_SPACE_CONSTANT*i, int2::Native_vec_ c);
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__device__ float4::Native_vec_ __ockl_image_load_2D(unsigned int ADDRESS_SPACE_CONSTANT*i, int2::Native_vec_ c);
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@@ -139,7 +139,7 @@ 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_sample_1D(i, s, x);
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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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@@ -65,7 +65,7 @@ template <
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static __device__ T tex1Dfetch(hipTextureObject_t textureObject, int x)
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{
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TEXTURE_OBJECT_PARAMETERS_INIT
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auto tmp = __ockl_image_sample_1D(i, s, x);
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auto tmp = __ockl_image_load_1Db(i, x);
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return *reinterpret_cast<T*>(&tmp);
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}
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