Closed DLPerf closed 3 years ago
ليه
Hi,
Could you please elaborate on why this is performance issue, and what are the expected gains? Keep in mind that tests are running in parallel.
It seems you proposed the exact same change to many tensorflow github projects. I suspect you developed some tools to assist you. Independently of this particular issue, it would be interesting to learn more about it :)
Hello,I found a performance issue in the definition of
_synthetic_train_and_test
, tensorflow_decision_forests/keras/keras_test.py, compression_type="GZIP").map(parse) was called without num_parallel_calls. I think it will increase the efficiency of your program if you add this.The same issues also exist in test_path, compression_type="GZIP").map(parse).batch(50).map(preprocess)
Here is the documemtation of tensorflow to support this thing.
Looking forward to your reply. Btw, I am very glad to create a PR to fix it if you are too busy.