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1 /* Copyright 2019 The TensorFlow Authors. All Rights Reserved.
2 
3 Licensed under the Apache License, Version 2.0 (the "License");
4 you may not use this file except in compliance with the License.
5 You may obtain a copy of the License at
6 
7     http://www.apache.org/licenses/LICENSE-2.0
8 
9 Unless required by applicable law or agreed to in writing, software
10 distributed under the License is distributed on an "AS IS" BASIS,
11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 See the License for the specific language governing permissions and
13 limitations under the License.
14 ==============================================================================*/
15 
16 // GPU (ROCm / CUDA) specific type handle resolution
17 
18 #ifndef TENSORFLOW_STREAM_EXECUTOR_GPU_GPU_TYPES_H_
19 #define TENSORFLOW_STREAM_EXECUTOR_GPU_GPU_TYPES_H_
20 
21 #if TENSORFLOW_USE_ROCM
22 
23 #define __HIP_DISABLE_CPP_FUNCTIONS__
24 
25 #include "rocm/include/hip/hip_complex.h"
26 #include "rocm/include/hip/hip_runtime.h"
27 #include "rocm/include/hiprand/hiprand.h"
28 
29 #else  // CUDA
30 
31 #include "cuda/include/cuComplex.h"
32 #include "cuda/include/cuda.h"
33 
34 // cannot include curand.h here
35 //   because it triggers the #error in cuda/cuda_gpu_executor.cc
36 //     (because curand.h includes cuda_runtime.h)
37 // so explicitly adding the lone typedef we need from that file
38 typedef struct curandGenerator_st* curandGenerator_t;
39 
40 #endif
41 
42 namespace stream_executor {
43 namespace gpu {
44 
45 #if TENSORFLOW_USE_ROCM
46 
47 using GpuStreamHandle = hipStream_t;
48 using GpuEventHandle = hipEvent_t;
49 using GpuFunctionHandle = hipFunction_t;
50 using GpuFunctionAttribute = hipDeviceAttribute_t;  // not a typo!
51 using GpuDeviceHandle = hipDevice_t;
52 using GpuDevicePtr = hipDeviceptr_t;
53 using GpuDeviceAttribute = hipDeviceAttribute_t;
54 using GpuDeviceProperty = hipDeviceProp_t;
55 using GpuModuleHandle = hipModule_t;
56 using GpuStatus = hipError_t;
57 using GpuFuncCachePreference = hipFuncCache_t;
58 using GpuSharedMemConfig = hipSharedMemConfig;
59 using GpuComplexType = hipComplex;
60 using GpuDoubleComplexType = hipDoubleComplex;
61 using GpuRngHandle = hiprandGenerator_t;
62 
63 #else  // CUDA
64 
65 using GpuStreamHandle = CUstream;
66 using GpuEventHandle = CUevent;
67 using GpuFunctionHandle = CUfunction;
68 using GpuFunctionAttribute = CUfunction_attribute;
69 using GpuDeviceHandle = CUdevice;
70 using GpuDevicePtr = CUdeviceptr;
71 using GpuDeviceAttribute = CUdevice_attribute;
72 using GpuDeviceProperty = CUdevprop;
73 using GpuModuleHandle = CUmodule;
74 using GpuStatus = CUresult;
75 using GpuFuncCachePreference = CUfunc_cache;
76 using GpuSharedMemConfig = CUsharedconfig;
77 using GpuComplexType = cuComplex;
78 using GpuDoubleComplexType = cuDoubleComplex;
79 using GpuRngHandle = curandGenerator_t;
80 
81 #endif
82 
83 }  // namespace gpu
84 }  // namespace stream_executor
85 
86 #endif  // TENSORFLOW_STREAM_EXECUTOR_GPU_GPU_TYPES_H_
87