1 /*
2 * Copyright (c) 2016-2022 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 "src/cpu/operators/CpuMul.h"
25
26 #include "arm_compute/core/TensorInfo.h"
27 #include "arm_compute/core/Validate.h"
28 #include "arm_compute/runtime/NEON/NEScheduler.h"
29 #include "src/common/utils/Log.h"
30 #include "src/cpu/kernels/CpuMulKernel.h"
31
32 namespace arm_compute
33 {
34 namespace cpu
35 {
validate(const ITensorInfo * src1,const ITensorInfo * src2,const ITensorInfo * dst,float scale,ConvertPolicy overflow_policy,RoundingPolicy rounding_policy,const ActivationLayerInfo & act_info)36 Status CpuMul::validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy,
37 const ActivationLayerInfo &act_info)
38 {
39 ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled());
40 return kernels::CpuMulKernel::validate(src1, src2, dst, scale, overflow_policy, rounding_policy);
41 }
42
configure(ITensorInfo * src1,ITensorInfo * src2,ITensorInfo * dst,float scale,ConvertPolicy overflow_policy,RoundingPolicy rounding_policy,const ActivationLayerInfo & act_info)43 void CpuMul::configure(ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy,
44 const ActivationLayerInfo &act_info)
45 {
46 ARM_COMPUTE_UNUSED(act_info);
47 ARM_COMPUTE_LOG_PARAMS(src1, src2, dst, scale, overflow_policy, rounding_policy, act_info);
48
49 auto k = std::make_unique<kernels::CpuMulKernel>();
50 k->configure(src1, src2, dst, scale, overflow_policy, rounding_policy);
51 _kernel = std::move(k);
52 }
53
run(ITensorPack & tensors)54 void CpuMul::run(ITensorPack &tensors)
55 {
56 ARM_COMPUTE_ERROR_ON_MSG(tensors.empty(), "No inputs provided");
57 auto split_dimension = static_cast<kernels::CpuMulKernel *>(_kernel.get())->get_split_dimension_hint();
58 NEScheduler::get().schedule_op(_kernel.get(), split_dimension, _kernel->window(), tensors);
59 }
60
validate(const ITensorInfo * src1,const ITensorInfo * src2,const ITensorInfo * dst,const ActivationLayerInfo & act_info)61 Status CpuComplexMul::validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const ActivationLayerInfo &act_info)
62 {
63 ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled());
64 return kernels::CpuComplexMulKernel::validate(src1, src2, dst);
65 }
66
configure(ITensorInfo * src1,ITensorInfo * src2,ITensorInfo * dst,const ActivationLayerInfo & act_info)67 void CpuComplexMul::configure(ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, const ActivationLayerInfo &act_info)
68 {
69 ARM_COMPUTE_UNUSED(act_info);
70 ARM_COMPUTE_LOG_PARAMS(src1, src2, dst, act_info);
71
72 auto k = std::make_unique<kernels::CpuComplexMulKernel>();
73 k->configure(src1, src2, dst);
74 _kernel = std::move(k);
75 }
76
run(ITensorPack & tensors)77 void CpuComplexMul::run(ITensorPack &tensors)
78 {
79 ARM_COMPUTE_ERROR_ON_MSG(tensors.empty(), "No inputs provided");
80 NEScheduler::get().schedule_op(_kernel.get(), Window::DimY, _kernel->window(), tensors);
81 }
82 } // namespace cpu
83 } // namespace arm_compute