Table Of Contents
Table Of Contents

mx.nd.Convolution.v1

Description

This operator is DEPRECATED. Apply convolution to input then add a bias.

Arguments

Argument

Description

data

NDArray-or-Symbol.

Input data to the ConvolutionV1Op.

weight

NDArray-or-Symbol.

Weight matrix.

bias

NDArray-or-Symbol.

Bias parameter.

kernel

Shape(tuple), required.

convolution kernel size: (h, w) or (d, h, w)

stride

Shape(tuple), optional, default=[].

convolution stride: (h, w) or (d, h, w)

dilate

Shape(tuple), optional, default=[].

convolution dilate: (h, w) or (d, h, w)

pad

Shape(tuple), optional, default=[].

pad for convolution: (h, w) or (d, h, w)

num.filter

int (non-negative), required.

convolution filter(channel) number

num.group

int (non-negative), optional, default=1.

Number of group partitions. Equivalent to slicing input into num_group partitions, apply convolution on each, then concatenate the results

workspace

long (non-negative), optional, default=1024.

Maximum temporary workspace allowed for convolution (MB).This parameter determines the effective batch size of the convolution kernel, which may be smaller than the given batch size. Also, the workspace will be automatically enlarged to make sure that we can run the kernel with batch_size=1

no.bias

boolean, optional, default=0.

Whether to disable bias parameter.

cudnn.tune

{None, ‘fastest’, ‘limited_workspace’, ‘off’},optional, default=’None’.

Whether to pick convolution algo by running performance test. Leads to higher startup time but may give faster speed. Options are: ‘off’: no tuning ‘limited_workspace’: run test and pick the fastest algorithm that doesn’t exceed workspace limit. ‘fastest’: pick the fastest algorithm and ignore workspace limit. If set to None (default), behavior is determined by environment variable MXNET_CUDNN_AUTOTUNE_DEFAULT: 0 for off, 1 for limited workspace (default), 2 for fastest.

cudnn.off

boolean, optional, default=0.

Turn off cudnn for this layer.

layout

{None, ‘NCDHW’, ‘NCHW’, ‘NDHWC’, ‘NHWC’},optional, default=’None’.

Set layout for input, output and weight. Empty for default layout: NCHW for 2d and NCDHW for 3d.

Value

out The result mx.ndarray