yzhliu commented on a change in pull request #15938: Tvm broadcast backward
URL: https://github.com/apache/incubator-mxnet/pull/15938#discussion_r315579522
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File path: contrib/tvmop/basic/ufunc.py
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@@ -48,3 +50,71 @@ def vadd_gpu(dtype, ndim):
s[C].bind(bx, tvm.thread_axis("blockIdx.x"))
s[C].bind(tx, tvm.thread_axis("threadIdx.x"))
return s, [A, B, C]
+
+
+def assign_by_req(a, req):
+ b = tvm.placeholder(a.shape, name='assign_by_req_b', dtype=a.dtype)
+ if (req == "kAddTo"):
+ c = tvm.compute(a.shape, lambda *idx: a[idx] + b[idx])
+ else:
+ c = tvm.compute(a.shape, lambda *idx: a[idx])
+ return b, c
+
+
+def reduce_axes(X, axes, reducer):
Review comment:
can we add some comments to elaborate the idea? e.g., meaning of axes. also
can we move it to somewhere else so that other operators can reuse?
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