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add batch norm test#13625

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anirudh2290 merged 7 commits into
apache:masterfrom
azai91:test/mkldnn-batch-norm-op-2
Dec 13, 2018
Merged

add batch norm test#13625
anirudh2290 merged 7 commits into
apache:masterfrom
azai91:test/mkldnn-batch-norm-op-2

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@azai91 azai91 commented Dec 12, 2018 •
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Description

Add tests for MKLDNN batch norm operator The creates ndarray inputs and then runs it separately through the native CPU BN operator and MKLDNN BN operator. Creating the BN test requires a different test helper as the BN operation writes to the input, so identical arrays of equal value must be created and then ran through the native / MKLDNN operators.

Checklist

Essentials

Please feel free to remove inapplicable items for your PR.

  • The PR title starts with [MXNET-$JIRA_ID], where $JIRA_ID refers to the relevant JIRA issue created (except PRs with tiny changes)
  • Changes are complete (i.e. I finished coding on this PR)
  • All changes have test coverage:
  • Unit tests are added for small changes to verify correctness (e.g. adding a new operator)
  • Nightly tests are added for complicated/long-running ones (e.g. changing distributed kvstore)
  • Build tests will be added for build configuration changes (e.g. adding a new build option with NCCL)
  • Code is well-documented:
  • For user-facing API changes, API doc string has been updated.
  • For new C++ functions in header files, their functionalities and arguments are documented.
  • For new examples, README.md is added to explain the what the example does, the source of the dataset, expected performance on test set and reference to the original paper if applicable
  • Check the API doc at http://mxnet-ci-doc.s3-accelerate.dualstack.amazonaws.com/PR-$PR_ID/$BUILD_ID/index.html
  • To the my best knowledge, examples are either not affected by this change, or have been fixed to be compatible with this change

Changes

  • Feature1, tests, (and when applicable, API doc)
  • Feature2, tests, (and when applicable, API doc)

Comments

  • If this change is a backward incompatible change, why must this change be made.
  • Interesting edge cases to note here

@azai91 azai91 requested a review from anirudh2290 as a code owner December 12, 2018 09:35
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azai91 commented Dec 12, 2018

@TaoLv please review

@azai91 azai91 mentioned this pull request Dec 12, 2018
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TaoLv reviewed Dec 12, 2018
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Comment thread tests/cpp/operator/mkldnn_operator_test.cc Outdated


void TestOpExBNBackward(const OpAttrs &forward_attrs,
const OpAttrs &backwards_attrs,
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fix indent.

Comment thread tests/cpp/operator/mkldnn_operator_test.cc Outdated
const std::vector<NDArray*> &inputs,
const std::vector<NDArray*> &outputs,
const NDArrayAttrs &in_arr,
const NDArrayAttrs &out_arr) {
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out_arr is not used?

Comment thread tests/cpp/operator/mkldnn_operator_test.cc Outdated

std::vector<NDArray*> backwards_outputs(backwards_attrs.num_outputs);
std::vector<NDArray*> backwards_ex_outputs(backwards_attrs.num_outputs);
std::vector<OpReqType> back_req(backwards_attrs.num_outputs);
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backwards_req

Comment thread tests/cpp/operator/mkldnn_operator_test.cc Outdated
backwards_input[6] = inputs[3]; // moving mean
backwards_input[7] = inputs[4]; // moving var


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redundant blank line

Comment thread tests/cpp/operator/mkldnn_operator_test.cc Outdated
Engine::Get()->WaitForAll();
}


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ditto

Comment thread tests/cpp/operator/mkldnn_operator_test.cc Outdated
}


for (int i = 0; i < backwards_attrs.num_outputs; i++)
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merge this for loop into the previous one?

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TaoLv commented Dec 12, 2018

Seems CI doesn't work. Can we expect these test cases to work without those operator changes in #13084?

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azai91 commented Dec 12, 2018

Yes, the test cases for BN is (for now) less stringent than the other C++ test cases. Normally, we run through a large set of fixtures (regular NDArray, mkldnn NDarray, reshaped, etc). However, in the BN implementation we are unable to handle reshaped mkldnn array.

For example, we cannot call GetMKLDNNData on views (reshaped) arrays https://github.com/apache/incubator-mxnet/blob/3d64d15e69ce6afba728a92b18753a868b6c3298/src/operator/nn/mkldnn/mkldnn_batch_norm-inl.h#L198

https://github.com/apache/incubator-mxnet/blob/3d64d15e69ce6afba728a92b18753a868b6c3298/src/operator/nn/mkldnn/mkldnn_batch_norm-inl.h#L394

Normally, we call Reorder2Default in this case to produce a new array that isn't a view and then continue on. (https://github.com/apache/incubator-mxnet/blob/3d64d15e69ce6afba728a92b18753a868b6c3298/src/operator/nn/mkldnn/mkldnn_act.cc#L164). However, BN is special because we write to the inputs (https://github.com/apache/incubator-mxnet/blob/3d64d15e69ce6afba728a92b18753a868b6c3298/src/operator/nn/mkldnn/mkldnn_batch_norm-inl.h#L260), so making a copy of inputs, then writing to those copies will not have the desired effect.

For now, all this PR does is provide test cases for our current implementations.

@anirudh2290 anirudh2290 merged commit b45e127 into apache:master Dec 13, 2018
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