Test topology pruning #179
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tests/test_topology_prune.py
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| op_input = operator.inputs[0] | ||
| N = op_input.type.shape[0] | ||
| C = op_input.type.shape[1] | ||
| operator.outputs[0].type = FloatTensorType([N, C]) |
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Do we really need N and C here? We could just write:
operator.outputs[0].type = FloatTensorType(op_input.type.shape), couldn't we?
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I don't know. I update the master branch on my repo and I create new branches with git checkout -b …
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You fork is not synchronised with master. Look at this: https://stackoverflow.com/questions/41283955/github-keeps-saying-this-branch-is-x-commits-ahead-y-commits-behind
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Why do you have so many commits in the PR, may be clean up your branch? |
prabhat00155
approved these changes
Jun 13, 2019
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