xref: /aosp_15_r20/external/ComputeLibrary/src/runtime/CL/functions/CLInstanceNormalizationLayer.cpp (revision c217d954acce2dbc11938adb493fc0abd69584f3)
1 /*
2  * Copyright (c) 2019-2021 Arm Limited.
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4  * SPDX-License-Identifier: MIT
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24 #include "arm_compute/runtime/CL/functions/CLInstanceNormalizationLayer.h"
25 
26 #include "arm_compute/core/Error.h"
27 #include "arm_compute/core/Types.h"
28 #include "arm_compute/runtime/CL/CLHelpers.h"
29 #include "arm_compute/runtime/CL/CLScheduler.h"
30 #include "src/core/CL/ICLKernel.h"
31 #include "src/core/CL/kernels/CLFillBorderKernel.h"
32 #include "src/core/CL/kernels/CLInstanceNormalizationLayerKernel.h"
33 
34 #include "src/common/utils/Log.h"
35 
36 namespace arm_compute
37 {
CLInstanceNormalizationLayer(CLRuntimeContext * ctx)38 CLInstanceNormalizationLayer::CLInstanceNormalizationLayer(CLRuntimeContext *ctx) // NOLINT
39     : _inst_norm_kernel(),
40       _mean_var_kernel(),
41       _mean_var_tensor(),
42       _ctx(ctx)
43 {
44 }
~CLInstanceNormalizationLayer()45 CLInstanceNormalizationLayer::~CLInstanceNormalizationLayer()
46 {
47 }
48 
configure(ICLTensor * input,ICLTensor * output,float gamma,float beta,float epsilon,bool use_mixed_precision)49 void CLInstanceNormalizationLayer::configure(ICLTensor *input, ICLTensor *output, float gamma, float beta, float epsilon, bool use_mixed_precision)
50 {
51     configure(CLKernelLibrary::get().get_compile_context(), input, output, gamma, beta, epsilon, use_mixed_precision);
52 }
53 
configure(const CLCompileContext & compile_context,ICLTensor * input,ICLTensor * output,float gamma,float beta,float epsilon,bool use_mixed_precision)54 void CLInstanceNormalizationLayer::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, float gamma, float beta, float epsilon, bool use_mixed_precision)
55 {
56     ARM_COMPUTE_LOG_PARAMS(input, output, gamma, beta, epsilon, use_mixed_precision);
57     auto w = std::make_unique<CLComputeMeanVariance>();
58     w->configure(compile_context, input, &_mean_var_tensor, use_mixed_precision);
59     _mean_var_kernel = std::move(w);
60     auto k           = std::make_unique<CLInstanceNormalizationLayerKernel>();
61     k->configure(compile_context, input, &_mean_var_tensor, output, InstanceNormalizationLayerKernelInfo(gamma, beta, epsilon, use_mixed_precision));
62     _inst_norm_kernel = std::move(k);
63     _mean_var_tensor.allocator()->allocate();
64 }
65 
validate(const ITensorInfo * input,const ITensorInfo * output,float gamma,float beta,float epsilon,bool use_mixed_precision)66 Status CLInstanceNormalizationLayer::validate(const ITensorInfo *input, const ITensorInfo *output, float gamma, float beta, float epsilon, bool use_mixed_precision)
67 {
68     return CLInstanceNormalizationLayerKernel::validate(input, output, InstanceNormalizationLayerKernelInfo(gamma, beta, epsilon, use_mixed_precision));
69 }
70 
run()71 void CLInstanceNormalizationLayer::run()
72 {
73     ARM_COMPUTE_ERROR_ON_MSG(!_inst_norm_kernel, "The child class didn't set the CL kernel or function isn't configured");
74     schedule_kernel_on_ctx(_ctx, _mean_var_kernel.get());
75     schedule_kernel_on_ctx(_ctx, _inst_norm_kernel.get());
76 }
77 
78 } // namespace arm_compute
79