apeforest commented on issue #15429: Operator Performance Regression on CPU URL: https://github.com/apache/incubator-mxnet/issues/15429#issuecomment-508831324 https://github.com/apache/incubator-mxnet/pull/15240 may introduced extra runtime in profiler in mxnet 1.5. Using timeit module, `broadcast_add` between mxnet1.4 and mxnet1.5-int64 does not show significant difference: ``` import timeit SETUP_CODE = ''' import mxnet as mx from mxnet import nd mx.random.seed(10) def binary_op(lhs, rhs): return nd.broadcast_add(lhs=lhs, rhs=rhs, dtype='float32', ctx=mx.cpu()) lhs = nd.random.uniform(shape=(1024, 1024), dtype='float32', ctx=mx.cpu()) rhs = nd.random.uniform(shape=(1, 1024), dtype='float32', ctx=mx.cpu()) res = binary_op(lhs, rhs) ''' TEST_CODE = ''' res.wait_to_read() ''' # timeit.repeat statement times = timeit.repeat(setup = SETUP_CODE, stmt = TEST_CODE, repeat = 3, number = 10000) # priniting minimum exec. time print('time: {}'.format(min(times))) ``` mxnet 1.4: time: 0.007329841988394037 mxnet 1.5 (with int64 flag): time: 0.007355470006586984 mxnet 1.5 (default): time: 0.007073252985719591
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