Compute Library
 20.05
FusedDepthwiseConvolutionBatchNormalizationNode.cpp
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25 
26 #include "arm_compute/core/Utils.h"
30 
31 namespace arm_compute
32 {
33 namespace graph
34 {
37  unsigned int depth_multiplier,
39  ActivationLayerInfo fused_activation)
40  : _epsilon(epsilon), _info(std::move(info)), _depth_multiplier(depth_multiplier), _method(method), _fused_activation(fused_activation)
41 {
42  _input_edges.resize(7, EmptyEdgeID);
43  _outputs.resize(1, NullTensorID);
44 }
45 
47 {
48  _method = method;
49 }
50 
52 {
53  return _method;
54 }
55 
57 {
58  return _epsilon;
59 }
60 
62 {
63  return _info;
64 }
65 
67 {
68  return _depth_multiplier;
69 }
70 
72 {
73  return _fused_activation;
74 }
75 
77 {
78  _fused_activation = fused_activation;
79 }
80 
82  const TensorDescriptor &weights_descriptor,
83  const PadStrideInfo &info,
84  int depth_multiplier)
85 {
86  unsigned int output_width = 0;
87  unsigned int output_height = 0;
88 
89  const unsigned int input_width = get_dimension_size(input_descriptor, DataLayoutDimension::WIDTH);
90  const unsigned int input_height = get_dimension_size(input_descriptor, DataLayoutDimension::HEIGHT);
91  const unsigned int input_channels = get_dimension_size(input_descriptor, DataLayoutDimension::CHANNEL);
92  const unsigned int kernel_width = get_dimension_size(weights_descriptor, DataLayoutDimension::WIDTH);
93  const unsigned int kernel_height = get_dimension_size(weights_descriptor, DataLayoutDimension::HEIGHT);
94 
95  std::tie(output_width, output_height) = scaled_dimensions(input_width, input_height, kernel_width, kernel_height, info);
96 
97  TensorDescriptor output_descriptor = input_descriptor;
98  output_descriptor.shape.set(get_dimension_idx(output_descriptor.layout, DataLayoutDimension::WIDTH), output_width);
99  output_descriptor.shape.set(get_dimension_idx(output_descriptor.layout, DataLayoutDimension::HEIGHT), output_height);
100  output_descriptor.shape.set(get_dimension_idx(output_descriptor.layout, DataLayoutDimension::CHANNEL), input_channels * depth_multiplier);
101 
102  return output_descriptor;
103 }
104 
106 {
107  if((input_id(0) != NullTensorID) && (input_id(1) != NullTensorID) && (output_id(0) != NullTensorID))
108  {
109  Tensor *dst = output(0);
110  ARM_COMPUTE_ERROR_ON(dst == nullptr);
111  dst->desc() = configure_output(0);
112  return true;
113  }
114  return false;
115 }
116 
118 {
119  ARM_COMPUTE_UNUSED(idx);
120  const Tensor *src = input(0);
121  const Tensor *weights = input(1);
122 
123  ARM_COMPUTE_ERROR_ON(src == nullptr || weights == nullptr);
124 
125  TensorDescriptor output_info = compute_output_descriptor(src->desc(), weights->desc(), _info, _depth_multiplier);
126 
127  return output_info;
128 }
129 
131 {
133 }
134 
136 {
137  v.visit(*this);
138 }
139 } // namespace graph
140 } // namespace arm_compute
TensorDescriptor configure_output(size_t idx) const override
Calculates output configuration.
size_t get_dimension_size(const TensorDescriptor &descriptor, const DataLayoutDimension data_layout_dimension)
Get size of a tensor's given dimension depending on its layout.
Definition: Utils.cpp:123
#define ARM_COMPUTE_ERROR_ON(cond)
If the condition is true then an error message is printed and an exception thrown.
Definition: Error.h:466
DepthwiseConvolutionMethod depthwise_convolution_method() const
Depthwise convolution layer method accessor.
void set_depthwise_convolution_method(DepthwiseConvolutionMethod method)
Sets the depthwise convolution layer method to use.
Activation Layer Information class.
Definition: Types.h:1517
FusedDepthwiseConvolutionBatchNormalizationNode(float epsilon, PadStrideInfo info, unsigned int depth_multiplier, DepthwiseConvolutionMethod method, ActivationLayerInfo fused_activation=ActivationLayerInfo())
Constructor.
Copyright (c) 2017-2020 ARM Limited.
std::pair< unsigned int, unsigned int > scaled_dimensions(int width, int height, int kernel_width, int kernel_height, const PadStrideInfo &pad_stride_info, const Size2D &dilation=Size2D(1U, 1U))
Returns expected width and height of output scaled tensor depending on dimensions rounding mode.
Definition: Utils.cpp:395
void set_fused_activation(ActivationLayerInfo fused_activation)
Sets fused activation.
#define ARM_COMPUTE_UNUSED(...)
To avoid unused variables warnings.
Definition: Error.h:152
virtual void visit(INode &n)=0
Visit INode.
Tensor * output(size_t idx) const
Returns the tensor of a given output of the node.
Definition: INode.cpp:158
DepthwiseConvolutionMethod
Supported Depthwise Convolution layer methods.
Definition: Types.h:119
TensorID input_id(size_t idx) const
Returns the tensor ID of a given input of the node.
Definition: INode.cpp:137
static TensorDescriptor compute_output_descriptor(const TensorDescriptor &input_descriptor, const TensorDescriptor &weights_descriptor, const PadStrideInfo &info, int depth_multiplier)
Computes convolution output descriptor.
NodeType
Supported nodes.
Definition: Types.h:134
Padding and stride information class.
Definition: Types.h:689
constexpr EdgeID EmptyEdgeID
Definition: Types.h:75
TensorID output_id(size_t idx) const
Returns the tensor ID of a given output of the node.
Definition: INode.cpp:144
TensorShape & set(size_t dimension, size_t value, bool apply_dim_correction=true)
Accessor to set the value of one of the dimensions.
Definition: TensorShape.h:78
constexpr TensorID NullTensorID
Constant NodeID specifying an equivalent of null node.
Definition: Types.h:71
Node visitor interface.
Definition: INodeVisitor.h:34
Tensor * input(size_t idx) const
Returns the tensor of a given input of the node.
Definition: INode.cpp:150
bool forward_descriptors() override
Forwards descriptor information to outputs if possible.
size_t get_dimension_idx(DataLayout data_layout, const DataLayoutDimension data_layout_dimension)
Get index of a tensor's given dimension depending on its layout.
Definition: Utils.cpp:129
cast configure & src
Definition: Cast.cpp:169
Tensor object.
Definition: Tensor.h:41