lhutton1 commented on code in PR #17048:
URL: https://github.com/apache/tvm/pull/17048#discussion_r1627646069
##########
python/tvm/topi/arm_cpu/conv2d.py:
##########
@@ -680,6 +681,43 @@ def compute_conv2d_NHWC_hybrid_SME(cfg, data, kernel,
strides, padding, dilation
)
[email protected]_topi_compute("conv2d_NHWC_hybrid_SME_transposed_B.arm_cpu")
+def compute_conv2d_NHWC_SME_transposed_B(
+ cfg,
+ data,
+ kernel,
+ strides,
+ padding,
+ dilation,
+ out_dtype,
+ kernel_size,
+ output_channels,
+):
+ """Compute conv2d NHWC hybrid SME transposed B"""
+ N, K = get_const_tuple(kernel.shape)
+ tile_N, tile_K = get_tiling_B_transformed(False, data.dtype, True, True)
+ pad_N, pad_K = tvm.topi.arm_cpu.arm_utils.get_conv2d_weights_padding(N, K,
tile_N, tile_K)
+
+ kernel = tvm.topi.nn.pad(
+ kernel, pad_before=(0, 0), pad_after=(pad_N, pad_K),
name="weight_padding"
Review Comment:
Got it, thanks! I was just trying to see if we could avoid registering a new
`compute_conv2d_NHWC_SME_transposed_B`, but since this is the pattern already
being used, I'm happy to go with this change
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