1 /*
2 * Copyright (c) 2018-2020 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
25 #include "arm_compute/runtime/NEON/functions/NEFuseBatchNormalization.h"
26
27 #include "arm_compute/core/Error.h"
28 #include "arm_compute/core/TensorInfo.h"
29 #include "arm_compute/core/Types.h"
30 #include "arm_compute/runtime/NEON/NEScheduler.h"
31 #include "src/core/NEON/kernels/NEFuseBatchNormalizationKernel.h"
32 #include "support/MemorySupport.h"
33
34 namespace arm_compute
35 {
36 NEFuseBatchNormalization::~NEFuseBatchNormalization() = default;
37
NEFuseBatchNormalization()38 NEFuseBatchNormalization::NEFuseBatchNormalization()
39 : _fuse_bn_kernel()
40 {
41 }
42
configure(const ITensor * input_weights,const ITensor * bn_mean,const ITensor * bn_var,ITensor * fused_weights,ITensor * fused_bias,const ITensor * input_bias,const ITensor * bn_beta,const ITensor * bn_gamma,float epsilon,FuseBatchNormalizationType fbn_type)43 void NEFuseBatchNormalization::configure(const ITensor *input_weights, const ITensor *bn_mean, const ITensor *bn_var,
44 ITensor *fused_weights, ITensor *fused_bias,
45 const ITensor *input_bias, const ITensor *bn_beta, const ITensor *bn_gamma,
46 float epsilon, FuseBatchNormalizationType fbn_type)
47 {
48 _fuse_bn_kernel = arm_compute::support::cpp14::make_unique<NEFuseBatchNormalizationKernel>();
49 _fuse_bn_kernel->configure(input_weights, bn_mean, bn_var, fused_weights, fused_bias, input_bias, bn_beta, bn_gamma, epsilon, fbn_type);
50 }
51
validate(const ITensorInfo * input_weights,const ITensorInfo * bn_mean,const ITensorInfo * bn_var,const ITensorInfo * fused_weights,const ITensorInfo * fused_bias,const ITensorInfo * input_bias,const ITensorInfo * bn_beta,const ITensorInfo * bn_gamma,float epsilon,FuseBatchNormalizationType fbn_type)52 Status NEFuseBatchNormalization::validate(const ITensorInfo *input_weights, const ITensorInfo *bn_mean, const ITensorInfo *bn_var,
53 const ITensorInfo *fused_weights, const ITensorInfo *fused_bias,
54 const ITensorInfo *input_bias, const ITensorInfo *bn_beta, const ITensorInfo *bn_gamma,
55 float epsilon, FuseBatchNormalizationType fbn_type)
56 {
57 return NEFuseBatchNormalizationKernel::validate(input_weights, bn_mean, bn_var, fused_weights, fused_bias, input_bias, bn_beta, bn_gamma, epsilon, fbn_type);
58 }
59
run()60 void NEFuseBatchNormalization::run()
61 {
62 NEScheduler::get().schedule(_fuse_bn_kernel.get(), Window::DimY);
63 }
64 } // namespace arm_compute
65