For the complete documentation index, see llms.txt. Markdown versions of all pages are available by appending .md to any URL (e.g. /max/get-started.md).

Mojo function

dispatch_amd_4wave_conv3d

def dispatch_amd_4wave_conv3d[input_type: DType, filter_type: DType, output_type: DType, filter_is_fcqrs: Bool, elementwise_lambda_fn: Optional[def[dtype: DType, width: Int, *, alignment: Int = 1](IndexList[2], SIMD[dtype, width]) capturing -> None] = None, block_m_override: Int = 0, block_n_override: Int = 0, block_k_override: Int = 0](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 Conv3D to amd_4wave_conv on MI355X. Returns True if handled; False if the caller should fall through (typically to dispatch_im2col_matmul_conv3d).

Returns:

Bool