Turn off cudnn for this layer.
Whether to pick convolution algo by running performance test.
Convolution dilate: (w,), (h, w) or (d, h, w). Defaults to 1 for each dimension.
Set layout for input, output and weight. Empty for default layout: NCW for 1d, NCHW for 2d and NCDHW for 3d.NHWC and NDHWC are only supported on GPU.
Whether to disable bias parameter.
Number of group partitions.
Zero pad for convolution: (w,), (h, w) or (d, h, w). Defaults to no padding.
Convolution stride: (w,), (h, w) or (d, h, w). Defaults to 1 for each dimension.
Maximum temporary workspace allowed (MB) in convolution.This parameter has two usages. When CUDNN is not used, it determines the effective batch size of the convolution kernel. When CUDNN is used, it controls the maximum temporary storage used for tuning the best CUDNN kernel when
limited_workspace strategy is used.