bias (defined in magmadnn::layer::Conv2dLayer< T >) | magmadnn::layer::Conv2dLayer< T > | protected |
bias_initializer (defined in magmadnn::layer::Conv2dLayer< T >) | magmadnn::layer::Conv2dLayer< T > | protected |
bias_tensor (defined in magmadnn::layer::Conv2dLayer< T >) | magmadnn::layer::Conv2dLayer< T > | protected |
Conv2dLayer(op::Operation< T > *input, const std::vector< unsigned int > &filter_shape={3, 3}, int out_channels=1, const std::vector< unsigned int > &padding={0, 0}, const std::vector< unsigned int > &strides={1, 1}, const std::vector< unsigned int > &dilation_rates={1, 1}, bool use_cross_correlation=true, bool use_bias=false, tensor_filler_t< T > filter_initializer={GLOROT,{0.0, 0.2f}}, tensor_filler_t< T > bias_initializer={GLOROT,{0.0, 0.2f}}) (defined in magmadnn::layer::Conv2dLayer< T >) | magmadnn::layer::Conv2dLayer< T > | |
dilation_h (defined in magmadnn::layer::Conv2dLayer< T >) | magmadnn::layer::Conv2dLayer< T > | protected |
dilation_w (defined in magmadnn::layer::Conv2dLayer< T >) | magmadnn::layer::Conv2dLayer< T > | protected |
filter (defined in magmadnn::layer::Conv2dLayer< T >) | magmadnn::layer::Conv2dLayer< T > | protected |
filter_initializer (defined in magmadnn::layer::Conv2dLayer< T >) | magmadnn::layer::Conv2dLayer< T > | protected |
filter_tensor (defined in magmadnn::layer::Conv2dLayer< T >) | magmadnn::layer::Conv2dLayer< T > | protected |
get_bias() (defined in magmadnn::layer::Conv2dLayer< T >) | magmadnn::layer::Conv2dLayer< T > | inline |
get_filter() (defined in magmadnn::layer::Conv2dLayer< T >) | magmadnn::layer::Conv2dLayer< T > | inline |
get_input() | magmadnn::layer::Layer< T > | inline |
get_input_shape() const | magmadnn::layer::Layer< T > | inline |
get_input_shape(unsigned int i) const | magmadnn::layer::Layer< T > | inline |
get_name() const | magmadnn::layer::Layer< T > | inline |
get_output() | magmadnn::layer::Layer< T > | inline |
get_output_shape() const | magmadnn::layer::Layer< T > | inline |
get_output_shape(unsigned int i) const | magmadnn::layer::Layer< T > | inline |
get_weights() (defined in magmadnn::layer::Conv2dLayer< T >) | magmadnn::layer::Conv2dLayer< T > | virtual |
in_channels (defined in magmadnn::layer::Conv2dLayer< T >) | magmadnn::layer::Conv2dLayer< T > | protected |
init(const std::vector< unsigned int > &filter_shape) (defined in magmadnn::layer::Conv2dLayer< T >) | magmadnn::layer::Conv2dLayer< T > | protected |
input (defined in magmadnn::layer::Layer< T >) | magmadnn::layer::Layer< T > | protected |
input_shape (defined in magmadnn::layer::Layer< T >) | magmadnn::layer::Layer< T > | protected |
Layer(std::vector< unsigned int > input_shape, op::Operation< T > *input) (defined in magmadnn::layer::Layer< T >) | magmadnn::layer::Layer< T > | inlineprotected |
name (defined in magmadnn::layer::Layer< T >) | magmadnn::layer::Layer< T > | protected |
out() (defined in magmadnn::layer::Layer< T >) | magmadnn::layer::Layer< T > | inlinevirtual |
out_channels (defined in magmadnn::layer::Conv2dLayer< T >) | magmadnn::layer::Conv2dLayer< T > | protected |
output (defined in magmadnn::layer::Layer< T >) | magmadnn::layer::Layer< T > | protected |
output_shape (defined in magmadnn::layer::Layer< T >) | magmadnn::layer::Layer< T > | protected |
pad_h (defined in magmadnn::layer::Conv2dLayer< T >) | magmadnn::layer::Conv2dLayer< T > | protected |
pad_w (defined in magmadnn::layer::Conv2dLayer< T >) | magmadnn::layer::Conv2dLayer< T > | protected |
set_name(std::string name) | magmadnn::layer::Layer< T > | inline |
stride_h (defined in magmadnn::layer::Conv2dLayer< T >) | magmadnn::layer::Conv2dLayer< T > | protected |
stride_w (defined in magmadnn::layer::Conv2dLayer< T >) | magmadnn::layer::Conv2dLayer< T > | protected |
use_bias (defined in magmadnn::layer::Conv2dLayer< T >) | magmadnn::layer::Conv2dLayer< T > | protected |
use_cross_correlation (defined in magmadnn::layer::Conv2dLayer< T >) | magmadnn::layer::Conv2dLayer< T > | protected |
~Conv2dLayer() (defined in magmadnn::layer::Conv2dLayer< T >) | magmadnn::layer::Conv2dLayer< T > | virtual |