Compute Library
 20.05
DepthwiseConvolutionLayerNode.cpp
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25 
26 #include "arm_compute/core/Utils.h"
30 
31 namespace arm_compute
32 {
33 namespace graph
34 {
36  QuantizationInfo out_quant_info)
37  : _info(std::move(info)), _depth_multiplier(depth_multiplier), _method(method), _out_quant_info(std::move(out_quant_info)), _fused_activation()
38 {
39  _input_edges.resize(3, EmptyEdgeID);
40  _outputs.resize(1, NullTensorID);
41 }
42 
44 {
45  return _depth_multiplier;
46 }
47 
49 {
50  _method = method;
51 }
52 
54 {
55  return _method;
56 }
57 
59 {
60  return _info;
61 }
62 
64 {
65  return _fused_activation;
66 }
67 
69 {
70  _fused_activation = fused_activation;
71 }
72 
74  const TensorDescriptor &weights_descriptor,
75  const PadStrideInfo &info,
76  int depth_multiplier)
77 {
78  unsigned int output_width = 0;
79  unsigned int output_height = 0;
80 
81  const unsigned int input_width = get_dimension_size(input_descriptor, DataLayoutDimension::WIDTH);
82  const unsigned int input_height = get_dimension_size(input_descriptor, DataLayoutDimension::HEIGHT);
83  const unsigned int input_channels = get_dimension_size(input_descriptor, DataLayoutDimension::CHANNEL);
84  const unsigned int kernel_width = get_dimension_size(weights_descriptor, DataLayoutDimension::WIDTH);
85  const unsigned int kernel_height = get_dimension_size(weights_descriptor, DataLayoutDimension::HEIGHT);
86 
87  std::tie(output_width, output_height) = scaled_dimensions(input_width, input_height, kernel_width, kernel_height, info);
88 
89  const DataLayout data_layout = input_descriptor.layout;
90  TensorDescriptor output_descriptor = input_descriptor;
91  output_descriptor.shape.set(get_dimension_idx(data_layout, DataLayoutDimension::WIDTH), output_width);
92  output_descriptor.shape.set(get_dimension_idx(data_layout, DataLayoutDimension::HEIGHT), output_height);
94 
95  return output_descriptor;
96 }
97 
99 {
100  if((input_id(0) != NullTensorID) && (input_id(1) != NullTensorID) && (output_id(0) != NullTensorID))
101  {
102  Tensor *dst = output(0);
103  ARM_COMPUTE_ERROR_ON(dst == nullptr);
104  dst->desc() = configure_output(0);
105  return true;
106  }
107  return false;
108 }
109 
111 {
112  ARM_COMPUTE_UNUSED(idx);
113  const Tensor *src = input(0);
114  const Tensor *weights = input(1);
115 
116  ARM_COMPUTE_ERROR_ON(src == nullptr || weights == nullptr);
117 
118  TensorDescriptor output_info = compute_output_descriptor(src->desc(), weights->desc(), _info, _depth_multiplier);
119  if(!_out_quant_info.empty())
120  {
121  output_info.quant_info = _out_quant_info;
122  }
123 
124  return output_info;
125 }
126 
128 {
130 }
131 
133 {
134  v.visit(*this);
135 }
136 } // namespace graph
137 } // namespace arm_compute
const DataLayout data_layout
Definition: Im2Col.cpp:146
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
ActivationLayerInfo fused_activation() const
Returns fused activation.
void set_fused_activation(ActivationLayerInfo fused_activation)
Sets fused activation.
TensorDescriptor configure_output(size_t idx) const override
Calculates output configuration.
#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.
Activation Layer Information class.
Definition: Types.h:1517
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
Quantization information.
#define ARM_COMPUTE_UNUSED(...)
To avoid unused variables warnings.
Definition: Error.h:152
virtual void visit(INode &n)=0
Visit INode.
void accept(INodeVisitor &v) override
Accepts a node visitor.
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
PadStrideInfo convolution_info() const
Convolution metadata accessor.
TensorID input_id(size_t idx) const
Returns the tensor ID of a given input of the node.
Definition: INode.cpp:137
NodeType
Supported nodes.
Definition: Types.h:134
Padding and stride information class.
Definition: Types.h:689
constexpr EdgeID EmptyEdgeID
Definition: Types.h:75
DepthwiseConvolutionLayerNode(PadStrideInfo info, int depth_multiplier=1, DepthwiseConvolutionMethod method=DepthwiseConvolutionMethod::Default, QuantizationInfo out_quant_info=QuantizationInfo())
Constructor.
NodeType type() const override
Returns node's type.
bool empty() const
Indicates whether this QuantizationInfo has valid settings or not.
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
void set_depthwise_convolution_method(DepthwiseConvolutionMethod method)
Sets the depthwise convolution method to use.
constexpr TensorID NullTensorID
Constant NodeID specifying an equivalent of null node.
Definition: Types.h:71
Node visitor interface.
Definition: INodeVisitor.h:34
bool forward_descriptors() override
Forwards descriptor information to outputs if possible.
Tensor * input(size_t idx) const
Returns the tensor of a given input of the node.
Definition: INode.cpp:150
DataLayout
[DataLayout enum definition]
Definition: Types.h:120
static TensorDescriptor compute_output_descriptor(const TensorDescriptor &input_descriptor, const TensorDescriptor &weights_descriptor, const PadStrideInfo &info, int depth_multiplier=1)
Computes depthwise convolution output descriptor.
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