1 | /******************************************************************************* |
2 | * Copyright 2019-2022 Intel Corporation |
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 GPU_OCL_OCL_GPU_KERNEL_HPP |
18 | #define GPU_OCL_OCL_GPU_KERNEL_HPP |
19 | |
20 | #include <assert.h> |
21 | #include <string> |
22 | #include <CL/cl.h> |
23 | |
24 | #include "gpu/compute/compute.hpp" |
25 | #include "gpu/ocl/ocl_utils.hpp" |
26 | |
27 | namespace dnnl { |
28 | namespace impl { |
29 | namespace gpu { |
30 | namespace ocl { |
31 | |
32 | class ocl_gpu_kernel_cache_t; |
33 | |
34 | class ocl_gpu_kernel_t : public compute::kernel_impl_t { |
35 | public: |
36 | ocl_gpu_kernel_t(const std::shared_ptr<compute::binary_t> &binary, |
37 | const std::string &kernel_name, |
38 | const std::vector<gpu::compute::scalar_type_t> &arg_types) |
39 | : state_(state_t::binary) |
40 | , ocl_kernel_(nullptr) |
41 | , binary_(binary) |
42 | , binary_size_(binary->size()) |
43 | , kernel_name_(kernel_name) |
44 | , arg_types_(arg_types) { |
45 | MAYBE_UNUSED(state_); |
46 | } |
47 | |
48 | ~ocl_gpu_kernel_t() override; |
49 | |
50 | cl_kernel ocl_kernel() const { |
51 | assert(state_ == state_t::kernel); |
52 | return ocl_kernel_; |
53 | } |
54 | |
55 | status_t parallel_for(stream_t &stream, const compute::nd_range_t &range, |
56 | const compute::kernel_arg_list_t &arg_list) override; |
57 | |
58 | status_t realize(compute::kernel_t *kernel, const engine_t *engine, |
59 | compute::program_list_t *programs) const override; |
60 | |
61 | const char *name() const { |
62 | assert(state_ == state_t::binary); |
63 | return kernel_name_.c_str(); |
64 | } |
65 | |
66 | const std::shared_ptr<compute::binary_t> &binary() const override { |
67 | assert(state_ == state_t::binary); |
68 | return binary_; |
69 | } |
70 | |
71 | status_t binary(engine_t *engine, compute::binary_t &binary) const override; |
72 | |
73 | const std::vector<gpu::compute::scalar_type_t> &arg_types() const override { |
74 | return arg_types_; |
75 | } |
76 | |
77 | void clear() override { |
78 | assert(state_ == state_t::binary); |
79 | binary_->clear(); |
80 | kernel_name_.clear(); |
81 | arg_types_.clear(); |
82 | } |
83 | |
84 | status_t binary_size(size_t *binary_size) const override { |
85 | (*binary_size) = binary_size_; |
86 | return status::success; |
87 | } |
88 | |
89 | enum class state_t { binary, kernel }; |
90 | |
91 | protected: |
92 | ocl_gpu_kernel_t(cl_kernel ocl_kernel, |
93 | const std::vector<gpu::compute::scalar_type_t> &arg_types); |
94 | |
95 | state_t state_; |
96 | cl_kernel ocl_kernel_; |
97 | std::shared_ptr<compute::binary_t> binary_; |
98 | // The binary_ is cleared via `clear()` to reduce memory footprint. Because |
99 | // of that the binary size is stored separately to avoid querying it. |
100 | size_t binary_size_; |
101 | std::string kernel_name_; |
102 | |
103 | std::vector<gpu::compute::scalar_type_t> arg_types_; |
104 | |
105 | std::shared_ptr<ocl_gpu_kernel_cache_t> cache_; |
106 | }; |
107 | |
108 | } // namespace ocl |
109 | } // namespace gpu |
110 | } // namespace impl |
111 | } // namespace dnnl |
112 | |
113 | #endif // GPU_OCL_OCL_GPU_KERNEL_HPP |
114 | |