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Mojo function

matmul_sm100_fallback

def matmul_sm100_fallback[c_type: DType, a_type: DType, b_type: DType, *, transpose_b: Bool, umma_shape: IndexList[Int(3)], block_tile_shape: IndexList[Int(3)], a_swizzle: TensorMapSwizzle = TensorMapSwizzle.SWIZZLE_128B, b_swizzle: TensorMapSwizzle = TensorMapSwizzle.SWIZZLE_128B, elementwise_lambda_fn: Optional[def[dtype: DType, width: SIMDLength, *, alignment: Int = Int(1)](IndexList[Int(2)], SIMD[dtype, width]) capturing thin -> None] = None](c: TileTensor[Storage=c.Storage, address_space=c.address_space, linear_idx_type=c.linear_idx_type], a: TileTensor[Storage=a.Storage, address_space=a.address_space, linear_idx_type=a.linear_idx_type], b: TileTensor[Storage=b.Storage, address_space=b.address_space, linear_idx_type=b.linear_idx_type], ctx: DeviceContext)

Launches the SM100 fallback matmul kernel for unsupported shapes or dtypes.

Uses a simple non-pipelined kernel without CLC/TMEM overhead, computing shared memory from the actual tile sizes rather than the hardware maximum. Only transposed-B, bfloat16, and float8_e4m3fn inputs are supported.

Parameters: