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1 /**
2  * Copyright 2019-2021 Huawei Technologies Co., Ltd
3  *
4  * Licensed under the Apache License, Version 2.0 (the "License");
5  * you may not use this file except in compliance with the License.
6  * You may obtain a copy of the License at
7  *
8  * http://www.apache.org/licenses/LICENSE-2.0
9  *
10  * Unless required by applicable law or agreed to in writing, software
11  * distributed under the License is distributed on an "AS IS" BASIS,
12  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13  * See the License for the specific language governing permissions and
14  * limitations under the License.
15  */
16 
17 #ifndef MINDSPORE_CCSRC_RUNTIME_DEVICE_GPU_KERNEL_INFO_SETTER_H_
18 #define MINDSPORE_CCSRC_RUNTIME_DEVICE_GPU_KERNEL_INFO_SETTER_H_
19 
20 #include <utility>
21 #include <string>
22 #include <vector>
23 #include <memory>
24 #include <map>
25 #include "ir/anf.h"
26 #include "ops/conv_pool_ops.h"
27 #include "ops/nn_optimizer_ops.h"
28 #include "ops/nn_ops.h"
29 #include "ops/array_ops.h"
30 #include "ops/math_op_name.h"
31 #include "ir/dtype.h"
32 #include "include/common/utils/utils.h"
33 #include "kernel/kernel.h"
34 #include "kernel/kernel_build_info.h"
35 #include "kernel/graph_kernel_info.h"
36 #include "include/backend/kernel_graph.h"
37 #include "kernel/common_utils.h"
38 #include "utils/ms_context.h"
39 #include "include/backend/visible.h"
40 
41 namespace mindspore {
42 namespace device {
43 namespace gpu {
44 const size_t kAllPositions = SIZE_MAX;
45 const size_t kFormatTransformDimension = 4;
46 
47 // Map<opName, (inputFormatPosition, outputFormatPosition)>, used for getting the inserted position of format transform.
48 // If the inserted position is kAllPositions, then insert all the positions, because the input or output numbers of
49 // this op are variable.
50 static std::map<std::string, std::pair<std::vector<size_t>, std::vector<size_t>>> kKernelFormatPositionMap = {
51   // Format sensitive.
52   {prim::kPrimConv2D->name(), {{0, 1}, {0}}},
53   {prim::kPrimConv2DBackpropInput->name(), {{0, 1}, {0}}},
54   {prim::kPrimConv2DBackpropFilter->name(), {{0, 1}, {0}}},
55   {prim::kPrimMaxPool->name(), {{0}, {0}}},
56   {prim::kPrimMaxPoolGrad->name(), {{0, 1, 2}, {0}}},
57   {kAvgPoolOpName, {{0}, {0}}},
58   {kAvgPoolGradOpName, {{0, 1, 2}, {0}}},
59   {kBatchNormOpName, {{0}, {0}}},
60   {kBatchNormWithActivationOpName, {{0}, {0}}},
61   {kBatchNormWithAddAndActivationOpName, {{0, 5}, {0}}},
62   {kBatchNormGradOpName, {{0, 1}, {0}}},
63   {kBatchNormGradWithActivationOpName, {{0, 1, 7}, {0}}},
64   {kBatchNormGradWithAddAndActivationOpName, {{0, 1, 7}, {0, 3}}},
65   {kBiasAddOpName, {{0}, {0}}},
66   {prim::kPrimBiasAddGrad->name(), {{0}, {}}},
67   // Format insensitive.
68   {prim::kPrimReLU->name(), {{0}, {0}}},
69   {prim::kPrimReluGrad->name(), {{0, 1}, {0}}},
70   {prim::kPrimReLU6->name(), {{0}, {0}}},
71   {prim::kPrimReLU6Grad->name(), {{0, 1}, {0}}},
72   {kSliceOpName, {{0}, {0}}},
73   {kSliceGradOpName, {{0, 1}, {0}}},
74   {kTensorAddOpName, {{0, 1}, {0}}},
75   {prim::kPrimConcat->name(), {{kAllPositions}, {0}}},
76   {prim::kPrimAddN->name(), {{kAllPositions}, {0}}},
77   {prim::kPrimSplit->name(), {{0}, {kAllPositions}}},
78 };
79 
80 std::pair<std::string, ExceptionType> SetKernelInfoWithMsg(const CNodePtr &kernel_node,
81                                                            KernelType kernel_type = KernelType::UNKNOWN_KERNEL_TYPE);
82 
83 class FormatTransformChecker {
84  public:
85   void CheckSupportFormatTransform(const std::shared_ptr<session::KernelGraph> &kernel_graph);
format_transform()86   bool format_transform() const { return format_transform_; }
87 
GetInstance()88   static FormatTransformChecker &GetInstance() {
89     static FormatTransformChecker instance;
90     return instance;
91   }
92 
93  private:
94   FormatTransformChecker() = default;
95   ~FormatTransformChecker() = default;
96   FormatTransformChecker(const FormatTransformChecker &);
97   FormatTransformChecker &operator=(const FormatTransformChecker &);
98 
99   bool format_transform_{true};
100 };
101 
102 class GPU_EXPORT GPUGraphKernelInfo : public GraphKernelInfo {
103  public:
104   GPUGraphKernelInfo() = default;
105   virtual ~GPUGraphKernelInfo() = default;
106   void SetKernelInfo(const CNodePtr &kernel_node, KernelType kernel_type) override;
107 };
108 
109 REG_GRAPH_KERNEL_INFO(kGPUDevice, GPUGraphKernelInfo);
110 }  // namespace gpu
111 }  // namespace device
112 }  // namespace mindspore
113 
114 #endif  // MINDSPORE_CCSRC_RUNTIME_DEVICE_GPU_KERNEL_INFO_SETTER_H_
115