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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 #ifndef TENSORFLOW_LITE_DELEGATES_GPU_CL_CL_KERNEL_H_
17 #define TENSORFLOW_LITE_DELEGATES_GPU_CL_CL_KERNEL_H_
18 
19 #include <string>
20 
21 #include "tensorflow/lite/delegates/gpu/cl/cl_context.h"
22 #include "tensorflow/lite/delegates/gpu/cl/cl_device.h"
23 #include "tensorflow/lite/delegates/gpu/cl/cl_program.h"
24 #include "tensorflow/lite/delegates/gpu/cl/opencl_wrapper.h"
25 #include "tensorflow/lite/delegates/gpu/common/kernel_info.h"
26 #include "tensorflow/lite/delegates/gpu/common/status.h"
27 
28 namespace tflite {
29 namespace gpu {
30 namespace cl {
31 
32 // Arguments binding to CLKernel can be manual or automatic
33 // In manual you specify binding index explicitly
34 // In automatic binding, index auto-incremented with every binding call
35 // Also, if you use automatic mode you must call ResetBindingCounter
36 //   before parameters binding
37 class CLKernel {
38  public:
CLKernel()39   CLKernel() {}
40 
41   // Move only
42   CLKernel(CLKernel&& kernel);
43   CLKernel& operator=(CLKernel&& kernel);
44   CLKernel(const CLKernel&) = delete;
45   CLKernel& operator=(const CLKernel&) = delete;
46 
47   ~CLKernel();
48 
kernel()49   cl_kernel kernel() const { return kernel_; }
50 
51   absl::Status CreateFromProgram(const CLProgram& program,
52                                  const std::string& function_name);
53 
54   absl::Status SetMemory(int index, cl_mem memory);
55   absl::Status SetMemoryAuto(cl_mem memory);
56   template <typename T>
SetBytes(int index,const T & value)57   absl::Status SetBytes(int index, const T& value) const {
58     return SetBytes(index, static_cast<const void*>(&value), sizeof(T));
59   }
60   template <typename T>
SetBytesAuto(const T & value)61   absl::Status SetBytesAuto(const T& value) {
62     return SetBytesAuto(static_cast<const void*>(&value), sizeof(T));
63   }
64 
GetBindingCounter()65   int GetBindingCounter() const { return binding_counter_; }
ResetBindingCounter()66   void ResetBindingCounter() { binding_counter_ = 0; }
67 
68   // Do not use this function
69   // workaround for Mali memory leak
70   absl::Status ReInit() const;
71 
72   KernelInfo info_;
73 
74  private:
75   void Release();
76   absl::Status SetBytes(int index, const void* ptr, int length) const;
77   absl::Status SetBytesAuto(const void* ptr, int length);
78 
79   int binding_counter_ = -1;
80 
81   std::string function_name_;
82   // reference to program from which kernel was created
83   cl_program program_ = nullptr;
84   cl_kernel kernel_ = nullptr;
85 };
86 
87 }  // namespace cl
88 }  // namespace gpu
89 }  // namespace tflite
90 
91 #endif  // TENSORFLOW_LITE_DELEGATES_GPU_CL_CL_KERNEL_H_
92