1 /*
2 * Copyright (c) 2018-2021 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
25 #include "arm_compute/runtime/CL/functions/CLFuseBatchNormalization.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/CL/CLScheduler.h"
31 #include "src/core/CL/kernels/CLFuseBatchNormalizationKernel.h"
32
33 #include "src/common/utils/Log.h"
34
35 namespace arm_compute
36 {
CLFuseBatchNormalization()37 CLFuseBatchNormalization::CLFuseBatchNormalization()
38 : _fuse_bn_kernel(std::make_unique<CLFuseBatchNormalizationKernel>())
39 {
40 }
41
42 CLFuseBatchNormalization::~CLFuseBatchNormalization() = default;
43
configure(const ICLTensor * input_weights,const ICLTensor * bn_mean,const ICLTensor * bn_var,ICLTensor * fused_weights,ICLTensor * fused_bias,const ICLTensor * input_bias,const ICLTensor * bn_beta,const ICLTensor * bn_gamma,float epsilon,FuseBatchNormalizationType fbn_type)44 void CLFuseBatchNormalization::configure(const ICLTensor *input_weights, const ICLTensor *bn_mean, const ICLTensor *bn_var,
45 ICLTensor *fused_weights, ICLTensor *fused_bias,
46 const ICLTensor *input_bias, const ICLTensor *bn_beta, const ICLTensor *bn_gamma,
47 float epsilon, FuseBatchNormalizationType fbn_type)
48 {
49 configure(CLKernelLibrary::get().get_compile_context(), input_weights, bn_mean, bn_var, fused_weights, fused_bias, input_bias, bn_beta, bn_gamma, epsilon, fbn_type);
50 }
51
configure(const CLCompileContext & compile_context,const ICLTensor * input_weights,const ICLTensor * bn_mean,const ICLTensor * bn_var,ICLTensor * fused_weights,ICLTensor * fused_bias,const ICLTensor * input_bias,const ICLTensor * bn_beta,const ICLTensor * bn_gamma,float epsilon,FuseBatchNormalizationType fbn_type)52 void CLFuseBatchNormalization::configure(const CLCompileContext &compile_context, const ICLTensor *input_weights, const ICLTensor *bn_mean, const ICLTensor *bn_var,
53 ICLTensor *fused_weights, ICLTensor *fused_bias,
54 const ICLTensor *input_bias, const ICLTensor *bn_beta, const ICLTensor *bn_gamma,
55 float epsilon, FuseBatchNormalizationType fbn_type)
56 {
57 ARM_COMPUTE_LOG_PARAMS(input_weights, bn_mean, bn_var, fused_weights, fused_bias, input_bias, bn_beta, bn_gamma, epsilon, fbn_type);
58 _fuse_bn_kernel->configure(compile_context, input_weights, bn_mean, bn_var, fused_weights, fused_bias, input_bias, bn_beta, bn_gamma, epsilon, fbn_type);
59 }
60
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)61 Status CLFuseBatchNormalization::validate(const ITensorInfo *input_weights, const ITensorInfo *bn_mean, const ITensorInfo *bn_var,
62 const ITensorInfo *fused_weights, const ITensorInfo *fused_bias,
63 const ITensorInfo *input_bias, const ITensorInfo *bn_beta, const ITensorInfo *bn_gamma,
64 float epsilon, FuseBatchNormalizationType fbn_type)
65 {
66 return CLFuseBatchNormalizationKernel::validate(input_weights, bn_mean, bn_var, fused_weights, fused_bias, input_bias, bn_beta, bn_gamma, epsilon, fbn_type);
67 }
68
run()69 void CLFuseBatchNormalization::run()
70 {
71 CLScheduler::get().enqueue(*_fuse_bn_kernel, true);
72 }
73 } // namespace arm_compute
74