Mojo function

dispatch_qslice_conv3d_sm100

dispatch_qslice_conv3d_sm100[input_type: DType, filter_type: DType, output_type: DType, //, filter_is_fcrs: Bool = False, maybe_epilogue_func: Optional[def[dtype: DType, rank: Int, width: Int, alignment: Int = 1](IndexList[rank], SIMD[dtype, width]) capturing -> None] = None](input: TileTensor[input_type, address_space=input.address_space, linear_idx_type=input.linear_idx_type, element_size=input.element_size], filter: TileTensor[filter_type, address_space=filter.address_space, linear_idx_type=filter.linear_idx_type, element_size=filter.element_size], output: TileTensor[output_type, address_space=output.address_space, linear_idx_type=output.linear_idx_type, element_size=output.element_size], stride: IndexList[3], dilation: IndexList[3], symmetric_padding: IndexList[3], num_groups: Int, ctx: DeviceContext) -> Bool

Try to dispatch a 3-D conv as Q × SM100 2-D conv calls with a dedicated fp32 accumulator.

Returns:

Bool

Was this page helpful?

Thank you! We'll create more content like this.

Thank you for helping us improve!

😔 What went wrong?

Some code doesn’t work

It includes inaccurate information

It's missing information I need

It was difficult to understand

Other

Submit