CoreFlow 1.0.0
A modern orchestration and execution runtime
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Input parameters for a convolution operation. More...
#include <vx_khr_nn.h>
Public Attributes | |
vx_size | padding_x |
Number of elements added at each side in the x dimension of the input. | |
vx_size | padding_y |
Number of elements added at each side in the y dimension of the input. | |
vx_enum | overflow_policy |
A VX_TYPE_ENUM of the vx_convert_policy_e enumeration. | |
vx_enum | rounding_policy |
A VX_TYPE_ENUM of the vx_round_policy_e enumeration. | |
vx_enum | down_scale_size_rounding |
Rounding method for calculating output dimensions. See vx_nn_rounding_type_e | |
vx_size | dilation_x |
“inflate” the kernel by inserting zeros between the kernel elements in the x direction. The value is the number of zeros to insert. | |
vx_size | dilation_y |
“inflate” the kernel by inserting zeros between the kernel elements in the y direction. The value is the number of zeros to insert. | |
Input parameters for a convolution operation.
vx_size _vx_nn_convolution_params_t::dilation_x |
“inflate” the kernel by inserting zeros between the kernel elements in the x direction. The value is the number of zeros to insert.
vx_size _vx_nn_convolution_params_t::dilation_y |
“inflate” the kernel by inserting zeros between the kernel elements in the y direction. The value is the number of zeros to insert.
vx_enum _vx_nn_convolution_params_t::down_scale_size_rounding |
Rounding method for calculating output dimensions. See vx_nn_rounding_type_e
vx_enum _vx_nn_convolution_params_t::overflow_policy |
A VX_TYPE_ENUM
of the vx_convert_policy_e
enumeration.
vx_size _vx_nn_convolution_params_t::padding_x |
Number of elements added at each side in the x dimension of the input.
vx_size _vx_nn_convolution_params_t::padding_y |
Number of elements added at each side in the y dimension of the input.
vx_enum _vx_nn_convolution_params_t::rounding_policy |
A VX_TYPE_ENUM
of the vx_round_policy_e
enumeration.