Compute Library
 21.02
NEFuseBatchNormalization.cpp
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24 
26 
27 #include "arm_compute/core/Error.h"
29 #include "arm_compute/core/Types.h"
32 
33 namespace arm_compute
34 {
36 
38  : _fuse_bn_kernel()
39 {
40 }
41 
42 void NEFuseBatchNormalization::configure(const ITensor *input_weights, const ITensor *bn_mean, const ITensor *bn_var,
43  ITensor *fused_weights, ITensor *fused_bias,
44  const ITensor *input_bias, const ITensor *bn_beta, const ITensor *bn_gamma,
45  float epsilon, FuseBatchNormalizationType fbn_type)
46 {
47  _fuse_bn_kernel = std::make_unique<NEFuseBatchNormalizationKernel>();
48  _fuse_bn_kernel->configure(input_weights, bn_mean, bn_var, fused_weights, fused_bias, input_bias, bn_beta, bn_gamma, epsilon, fbn_type);
49 }
50 
51 Status NEFuseBatchNormalization::validate(const ITensorInfo *input_weights, const ITensorInfo *bn_mean, const ITensorInfo *bn_var,
52  const ITensorInfo *fused_weights, const ITensorInfo *fused_bias,
53  const ITensorInfo *input_bias, const ITensorInfo *bn_beta, const ITensorInfo *bn_gamma,
54  float epsilon, FuseBatchNormalizationType fbn_type)
55 {
56  return NEFuseBatchNormalizationKernel::validate(input_weights, bn_mean, bn_var, fused_weights, fused_bias, input_bias, bn_beta, bn_gamma, epsilon, fbn_type);
57 }
58 
60 {
61  NEScheduler::get().schedule(_fuse_bn_kernel.get(), Window::DimY);
62 }
63 } // namespace arm_compute
static Status 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=nullptr, const ITensorInfo *bn_beta=nullptr, const ITensorInfo *bn_gamma=nullptr, float epsilon=0.001f, FuseBatchNormalizationType fbn_type=FuseBatchNormalizationType::CONVOLUTION)
Static function to check if given info will lead to a valid configuration of NEFuseBatchNormalization...
void configure(const ITensor *input_weights, const ITensor *bn_mean, const ITensor *bn_var, ITensor *fused_weights, ITensor *fused_bias, const ITensor *input_bias=nullptr, const ITensor *bn_beta=nullptr, const ITensor *bn_gamma=nullptr, float epsilon=0.001f, FuseBatchNormalizationType fbn_type=FuseBatchNormalizationType::CONVOLUTION)
Set the input and output tensors.
void run() override
Run the kernels contained in the function.
Store the tensor&#39;s metadata.
Definition: ITensorInfo.h:40
Status class.
Definition: Error.h:52
Interface for Neon tensor.
Definition: ITensor.h:36
Copyright (c) 2017-2021 Arm Limited.
FuseBatchNormalizationType
Available FuseBatchNormalizationType.
Definition: Types.h:162
~NEFuseBatchNormalization()
Default destructor.
static Status 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=nullptr, const ITensorInfo *bn_beta=nullptr, const ITensorInfo *bn_gamma=nullptr, float epsilon=0.001f, FuseBatchNormalizationType fbn_type=FuseBatchNormalizationType::CONVOLUTION)
Static function to check if given info will lead to a valid configuration of NEFuseBatchNormalization...
static constexpr size_t DimY
Alias for dimension 1 also known as Y dimension.
Definition: Window.h:45
virtual void schedule(ICPPKernel *kernel, const Hints &hints)=0
Runs the kernel in the same thread as the caller synchronously.
static IScheduler & get()
Access the scheduler singleton.
Definition: Scheduler.cpp:94