sorry, I can't reproduce the same result with the same random seed
XNET_TEST_SEED=304218922.
In my trial, the test_activation is ok.
The experiment is shown as follows:
# experiment #
## command ##
export MXNET_TEST_SEED=304218922
python /usr/bin/nosetests tests/python/mkl/test_mkldnn.py:test_activation
## log ##
[INFO] Setting test np/mx/python random seeds, use MXNET_TEST_SEED=304218922 to
reproduce.
[22:51:22] src/operator/tensor/././../../common/utils.h:450:
Storage type fallback detected:
operator = Activation
input storage types = [row_sparse, ]
output storage types = [default, ]
params = {"act_type" : relu, }
context.dev_mask = cpu
The operator with default storage type will be dispatched for execution. You're
seeing this warning message because the operator above is unable to process the
given ndarrays with specified storage types, context and parameter. Temporary
dense ndarrays are generated in order to execute the operator. This does not
affect the correctness of the programme. You can set environment variable
MXNET_STORAGE_FALLBACK_LOG_VERBOSE to 0 to suppress this warning.
Ran 1 test in 0.023s
OK
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https://github.com/apache/incubator-mxnet/issues/12377 ]
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