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: SIMDSize, *, alignment: Int = Int(1)](IndexList[Int(2)], SIMD[dtype, width]) capturing -> None] = None, block_m_override: Int = Int(0), block_n_override: Int = Int(0), block_k_override: Int = Int(0)](input: TileTensor[input_type, Storage=input.Storage, address_space=input.address_space, linear_idx_type=input.linear_idx_type, element_size=input.element_size], filter: TileTensor[filter_type, Storage=filter.Storage, address_space=filter.address_space, linear_idx_type=filter.linear_idx_type, element_size=filter.element_size], output: TileTensor[output_type, Storage=output.Storage, address_space=output.address_space, linear_idx_type=output.linear_idx_type, element_size=output.element_size], stride: IndexList[Int(3)], dilation: IndexList[Int(3)], symmetric_padding: IndexList[Int(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:
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