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Add Range op to ONNX, make tvm arange shape_func support negative steps #6647

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merged 1 commit into from
Oct 8, 2020

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mbrookhart
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cc @icemelon9 @masahi @tmoreau89 @jwfromm

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Thanks @mbrookhart adding op support in onnx importer. LGTM

if step[0] < 0:
out[0] = int64(ceil_div((int64(start[0]) - int64(stop[0])), int64(-step[0])))
else:
out[0] = int64(ceil_div((int64(stop[0]) - int64(start[0])), int64(step[0])))
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It might be a good idea to add some tests for range with negative steps elsewhere besides the onnx importer (probably test_op_level3.py).

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It looks like there are already tests with negative steps in test_op_level3.py, they just weren't hitting the shape_func

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Ok sounds good, thanks for confirming that!

@tmoreau89 tmoreau89 merged commit a919824 into apache:master Oct 8, 2020
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Thanks @mbrookhart @jwfromm the PR has been merged!

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3 participants