Class Conv2dTransposeFusion
Defined in File conv2d_transpose_fusion.h
Inheritance Relationships
Base Type
public mindspore::ops::Conv2DTranspose
(Class Conv2DTranspose)
Class Documentation
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class Conv2dTransposeFusion : public mindspore::ops::Conv2DTranspose
Conv2dTransposeFusion defined Conv2dTranspose operator prototype of lite.
Public Functions
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inline Conv2dTransposeFusion()
Constructor.
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void Init(int64_t in_channel, int64_t out_channel, const std::vector<int64_t> &kernel_size, int64_t mode = 1, const PadMode &pad_mode = VALID, const std::vector<int64_t> &pad = {0, 0, 0, 0}, const std::vector<int64_t> &stride = {1, 1}, const std::vector<int64_t> &dilation = {1, 1}, int64_t group = 1, const Format &format = NCHW, const std::vector<int64_t> &pad_list = {0, 0, 0, 0}, const std::vector<int64_t> &output_paddings = {0}, ActivationType activation_type = NO_ACTIVATION)
Method to init the op’s attributes.
- Parameters
in_channel – [in] Define the number of input channel.
out_channel – [in] Define the number of output channel.
kernel_size – [in] Define the size of the filter kernel.
mode – [in] Define the category of conv, which is useless on lite.
pad_mode – [in] Define the padding method.
pad – [in] Define the concrete padding value on H and W dimension, which is replaced with pad_list.
stride – [in] Define the moving size of the filter kernel.
dilation – [in] Define the coefficient of expansion of the filter kernel, which is useful for dilated convolution-transpose.
group – [in] Define the number of group.
format – [in] Define the format of input tensor.
pad_list – [in] Define the concrete padding value on H and W dimension.
output_paddings – [in] Define the additional elements added to the side with higher coordinate indices in the output, which is used to control the selection-range of the output tensor.
activation_type – [in] Define the activation type.
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virtual void set_kernel_size(const std::vector<int64_t> &kernel_size) override
Method to set kernel_size attribute.
- Parameters
kernel_size – [in] Define the size of the filter kernel.
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virtual void set_dilation(const std::vector<int64_t> &dilation) override
Method to set dilation attribute.
- Parameters
dilation – [in] Define the coefficient of expansion of the filter kernel, which is useful for dilated convolution-transpose.
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void set_output_paddings(const std::vector<int64_t> &output_paddings)
Method to set output_paddings attribute.
- Parameters
output_paddings – [in] Define the additional elements added to the side with higher coordinate indices in the output, which is used to control the selection-range of the output tensor.
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void set_activation_type(ActivationType activation_type)
Method to set activation type.
- Parameters
activation_type – [in] Define the activation type.
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std::vector<int64_t> get_output_paddings() const
Method to get output_paddings attribute.
- Returns
output_paddings value.
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ActivationType get_activation_type() const
Method to get activation type.
- Returns
activation type.
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inline Conv2dTransposeFusion()