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 module

concat

Implements tensor concatenation along a specified axis for CPU and GPU targets.

comptime values

elementwise_epilogue_type

comptime elementwise_epilogue_type = def[c_type: DType, rank: Int, width: SIMDLength = SIMDLength(1), *, alignment: Int = Int(1)](IndexList[rank], SIMD[c_type, width]) capturing thin -> None

Functions

• ​concat: Concatenates inputs along axis into output for the given target.
• ​concat_shape: Compute the output shape of a pad operation, and assert the inputs are compatible.
• ​fused_concat: Concatenates inputs produced by input_fn along axis into output, applying output_0_fn to each element.
• ​memcpy_or_fuse: Copies n bytes from src_data into dest_data at out_byte_offset, applying epilogue_fn elementwise when present.
• ​preferred_simd_width: SIMD scalar count for fused GPU concat vectorization.

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