Skip to main content

Mojo function

dispatch_sm100_conv2d

dispatch_sm100_conv2d[input_layout: Layout, filter_layout: Layout, output_layout: Layout, input_type: DType, filter_type: DType, output_type: DType, filter_is_fcrs: Bool](input: LayoutTensor[input_type, input_layout, input.origin, address_space=input.address_space, element_layout=input.element_layout, layout_int_type=input.layout_int_type, linear_idx_type=input.linear_idx_type, masked=input.masked, alignment=input.alignment], filter: LayoutTensor[filter_type, filter_layout, filter.origin, address_space=filter.address_space, element_layout=filter.element_layout, layout_int_type=filter.layout_int_type, linear_idx_type=filter.linear_idx_type, masked=filter.masked, alignment=filter.alignment], output: LayoutTensor[output_type, output_layout, output.origin, address_space=output.address_space, element_layout=output.element_layout, layout_int_type=output.layout_int_type, linear_idx_type=output.linear_idx_type, masked=output.masked, alignment=output.alignment], symmetric_padding: IndexList[2], ctx: DeviceContext)

Dispatch to SM100 structured conv2d with filter transpose.

This function gates the SM100 kernel import behind @parameter if on dtype, so the kernel is never compiled for unsupported dtypes.

Was this page helpful?