Lunderberg commented on code in PR #11417:
URL: https://github.com/apache/tvm/pull/11417#discussion_r887332670
##########
tests/python/contrib/test_hexagon/infrastructure.py:
##########
@@ -228,3 +227,18 @@ def compute(n, ho, wo, ko, hi, wi, ki):
)
return output_shape, compute
+
+
+# Transpose and reshape numpy array according to the specified layout
+def transform_numpy(arr_np, layout):
+ if layout == "nhwc":
+ return arr_np
+ elif layout == "nhwc-8h2w32c2w":
+ N, H, W, C = arr_np.shape
+ return arr_np.reshape([N, H // 8, 8, W // 4, 2, 2, C // 32,
32]).transpose(0, 1, 3, 6, 2, 4, 7, 5)
+ elif layout == "n11c-1024c":
+ N, H, W, C = arr_np.shape
+ assert (H == 1 and W == 1), "The size of H and W must be 1!"
+ return arr_np.reshape([N, C//1024, 1024]).transpose(0, 1, 2)
Review Comment:
No problem. I'm thinking that at some point, it might be useful to have a
utility that converts a numpy array according to a `IndexMap`, to avoid needing
to write the same transformation in numpy semantics.
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