1 /*
2 * Copyright (c) 2017-2021 Arm Limited.
3 *
4 * SPDX-License-Identifier: MIT
5 *
6 * Permission is hereby granted, free of charge, to any person obtaining a copy
7 * of this software and associated documentation files (the "Software"), to
8 * deal in the Software without restriction, including without limitation the
9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10 * sell copies of the Software, and to permit persons to whom the Software is
11 * furnished to do so, subject to the following conditions:
12 *
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
15 *
16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 * SOFTWARE.
23 */
24 #include "arm_compute/runtime/NEON/functions/NEGEMMLowpMatrixMultiplyCore.h"
25
26 #include "arm_compute/core/ITensor.h"
27 #include "arm_compute/core/Validate.h"
28 #include "arm_compute/runtime/IWeightsManager.h"
29 #include "arm_compute/runtime/MemoryGroup.h"
30 #include "arm_compute/runtime/NEON/NEScheduler.h"
31 #include "arm_compute/runtime/Tensor.h"
32 #include "src/core/helpers/MemoryHelpers.h"
33
34 #include "src/cpu/operators/CpuGemmLowpMatrixMultiplyCore.h"
35
36 using namespace arm_compute::experimental;
37
38 namespace arm_compute
39 {
40 struct NEGEMMLowpMatrixMultiplyCore::Impl
41 {
42 const ITensor *b{ nullptr };
43 std::unique_ptr<cpu::CpuGemmLowpMatrixMultiplyCore> op{ nullptr };
44 ITensorPack run_pack{};
45 ITensorPack prep_pack{};
46 MemoryGroup memory_group{};
47 IWeightsManager *weights_manager{ nullptr };
48 MemoryRequirements aux_mem_req{};
49 WorkspaceData<Tensor> workspace_tensors{};
50 bool is_prepared{ false };
51 };
52
NEGEMMLowpMatrixMultiplyCore(std::shared_ptr<IMemoryManager> memory_manager,IWeightsManager * weights_manager)53 NEGEMMLowpMatrixMultiplyCore::NEGEMMLowpMatrixMultiplyCore(std::shared_ptr<IMemoryManager> memory_manager, IWeightsManager *weights_manager)
54 : _impl(std::make_unique<Impl>())
55 {
56 _impl->weights_manager = weights_manager;
57 _impl->memory_group = MemoryGroup(memory_manager);
58 }
59 NEGEMMLowpMatrixMultiplyCore::~NEGEMMLowpMatrixMultiplyCore() = default;
60
configure(const ITensor * a,const ITensor * b,const ITensor * c,ITensor * output,const GEMMInfo & gemm_info)61 void NEGEMMLowpMatrixMultiplyCore::configure(const ITensor *a, const ITensor *b, const ITensor *c, ITensor *output, const GEMMInfo &gemm_info)
62 {
63 ARM_COMPUTE_ERROR_ON_NULLPTR(a, b, output);
64 _impl->b = b;
65 _impl->op = std::make_unique<cpu::CpuGemmLowpMatrixMultiplyCore>();
66 _impl->op->configure(a->info(), b->info(), (c != nullptr ? c->info() : nullptr), output->info(), gemm_info);
67 _impl->run_pack =
68 {
69 { TensorType::ACL_SRC_0, a },
70 { TensorType::ACL_SRC_1, b },
71 { TensorType::ACL_SRC_2, c },
72 { TensorType::ACL_DST, output }
73 };
74 _impl->prep_pack =
75 {
76 { TensorType::ACL_SRC_1, b },
77 { TensorType::ACL_SRC_2, c }
78 };
79 _impl->aux_mem_req = _impl->op->workspace();
80 _impl->workspace_tensors = manage_workspace<Tensor>(_impl->aux_mem_req, _impl->memory_group, _impl->run_pack, _impl->prep_pack);
81 }
82
validate(const ITensorInfo * a,const ITensorInfo * b,const ITensorInfo * c,const ITensorInfo * output,const GEMMInfo & gemm_info)83 Status NEGEMMLowpMatrixMultiplyCore::validate(const ITensorInfo *a, const ITensorInfo *b, const ITensorInfo *c, const ITensorInfo *output, const GEMMInfo &gemm_info)
84 {
85 return cpu::CpuGemmLowpMatrixMultiplyCore::validate(a, b, c, output, gemm_info);
86 }
87
run()88 void NEGEMMLowpMatrixMultiplyCore::run()
89 {
90 prepare();
91 MemoryGroupResourceScope scope_mg(_impl->memory_group);
92 _impl->op->run(_impl->run_pack);
93 }
94
prepare()95 void NEGEMMLowpMatrixMultiplyCore::prepare()
96 {
97 if(!_impl->is_prepared)
98 {
99 _impl->op->prepare(_impl->prep_pack);
100
101 auto has_reshape = std::find_if(_impl->aux_mem_req.begin(),
102 _impl->aux_mem_req.end(),
103 [](const MemoryInfo & m) -> bool { return m.lifetime == MemoryLifetime::Persistent; });
104
105 if(has_reshape != std::end(_impl->aux_mem_req))
106 {
107 _impl->b->mark_as_unused();
108 }
109
110 // Release temporary tensors that are only used in prepare stage
111 release_temporaries<Tensor>(_impl->aux_mem_req, _impl->workspace_tensors);
112 _impl->is_prepared = true;
113 }
114 }
115 } // namespace arm_compute
116