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Performance issue in the definition of answer_module, a09_DynamicMemoryNet/a8_dynamic_memory_network.py #146

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DLPerf opened this issue Aug 13, 2021 · 1 comment

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@DLPerf
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DLPerf commented Aug 13, 2021

Hello, I found a performance issue in the definition of answer_module, a09_DynamicMemoryNet/a8_dynamic_memory_network.py,
tf.concat will created repeatedly(tensorflow 1.x) during program execution, resulting in reduced efficiency. I think it should be created before the loop in answer_module.

Looking forward to your reply. Btw, I am very glad to create a PR to fix it if you are too busy.

@brightmart
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Thanks for feedback. please create a PR.

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