apeforest commented on issue #14496: performance degradation from 1.3.1 to 1.4.0 URL: https://github.com/apache/incubator-mxnet/issues/14496#issuecomment-475887608 I could verify the performance degradation using Sam's script on the transpose operator. The performance slow down is mainly due to arithmetic operation performance difference between int32_t and int64_t data types. I changed the data type in Tensor object in mshadow from index_t (which is typedef to int64_t) to int32_t and can see runtime of transpose operator come back to almost same as in 1.3.1. I am doing the following experiment: 1) casting tensor index data type to int32_t at runtime based on tensor size 2) using a env variable to select between a large tensor object (defined by int64_t) and small tensor object (defined by int32_t) I will post the experiment results and from it see how we can generalize one of these approaches.
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