tmoreau89 commented on a change in pull request #8825:
URL: https://github.com/apache/tvm/pull/8825#discussion_r696207437
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File path: tutorials/optimize/opt_gemm.py
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@@ -335,24 +345,27 @@
CC = s.cache_write(C, "global")
-xo, yo, xi, yi = s[C].tile(C.op.axis[0], C.op.axis[1], bn, bn)
+mo, no, mi, ni = s[C].tile(C.op.axis[0], C.op.axis[1], bn, bn)
-s[CC].compute_at(s[C], yo)
+s[CC].compute_at(s[C], no)
-xc, yc = s[CC].op.axis
+mc, nc = s[CC].op.axis
(k,) = s[CC].op.reduce_axis
-ko, ki = s[CC].split(k, factor=4)
-s[CC].reorder(ko, xc, ki, yc)
+ko, ki = s[CC].split(k, factor=kfactor)
+s[CC].reorder(ko, mc, ki, nc)
+s[CC].vectorize(nc)
+
+# unroll kfactor loops
+# this is a separate optimization not discussed in this tutorial
s[CC].unroll(ki)
-s[CC].vectorize(yc)
# parallel
-s[C].parallel(xo)
+s[C].parallel(mo)
-x, y, z = s[packedB].op.axis
-s[packedB].vectorize(z)
-s[packedB].parallel(x)
+bigN, k, littleN = s[packedB].op.axis
Review comment:
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