roywei edited a comment on issue #15429: Operator Performance Regression on CPU URL: https://github.com/apache/incubator-mxnet/issues/15429#issuecomment-508831150 There is no regression (accounting variance also) between 1.4.1 and 1.5.0 on broadcast ops if using python `time()`. it may due to profiler change between versions. Result on C5.18xlarge. | 1.4.1 | 1.4.1 | 1.4.1 | average | 1.5.0 | 1.5.0 | 1.5.0 | 1.5.0 | 1.5.0 average -- | -- | -- | -- | -- | -- | -- | -- | -- | -- broadcast_add | 0.055 | 0.059 | 0.056624 | 0.0567635 | 0.058 | 0.06 | 0.057 | 0.057 | 0.058183 elemwise_add | 0.104 | 0.104460 | 0.104491 | 0.10444 | 0.121223 | 0.127 | 0.124 | 0.124 | 0.125145 Thanks to @reminisce for helping out and providing the scripts. ``` import time import mxnet as mx mx.random.seed(0) a = mx.nd.random.uniform(shape=(1024, 1024)) b = mx.nd.random.uniform(shape=(1024, 1024)) repeat = 10000 mx.nd.waitall() start = time.time() for _ in range(repeat): c = mx.nd.broadcast_add(a, b) # c = mx.nd.elemwise_add(a, b) c.wait_to_read() elapse = time.time() - start print("elapse time: %fms" % (elapse * 1000 / repeat)) ```
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