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[TF frontend] add support for StridedSlice to input a single constant #6949
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@@ -1599,6 +1599,9 @@ def _impl(inputs, attr, params, mod): | |||
data_shape = get_const_tuple(in_type.checked_type.shape) | |||
data_dim = len(data_shape) | |||
stride_dim = len(stride) | |||
if data_dim == 0 and isinstance(inputs[0], _expr.Constant): |
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I suspect this is data_dim==1
, right? Otherwise, the data would just be empty. Also, could you add a test case to check this situation? In general, every new feature should come with an appropriate test (see the guidelines : https://tvm.apache.org/docs/contribute/pull_request.html)
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Maybe I didn't describe it clearly, the input here is a single number. So data_dim
here is 0. This situation is the same as np.array(1)
. len(np.array(1).shape) == 0
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Cool, I didn't know that! I would still add a test to show when this situation arises (just to make sure that branch is covered). What do you think?
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👌add test for that.
@giuseros hi, tests have been added. |
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Thanks for addressing my comments @alter-xp ! LGTM
eh, this branch has not been merged? Is there any problem? |
Hi @alter-xp , |
…apache#6949) * [TF frontend] add support for StridedSlice to input a single constant * add test for strideslice with a single number input * fix bug
…apache#6949) * [TF frontend] add support for StridedSlice to input a single constant * add test for strideslice with a single number input * fix bug
…apache#6949) * [TF frontend] add support for StridedSlice to input a single constant * add test for strideslice with a single number input * fix bug
@giuseros @siju-samuel