Hello,I found a performance issue in the definition of load_dataset ,
data.py,
dataset = dataset.map(_parser) 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 dataset = dataset.map(_parser) ,
dataset = dataset.map(_preprocess_inference),
dataset = dataset.map(_parser),
dataset = dataset.map(_parser)
and dataset = dataset.map(_preprocess_inference)
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.
Hello,I found a performance issue in the definition of
load_dataset,data.py,
dataset = dataset.map(_parser) 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 dataset = dataset.map(_parser) ,
dataset = dataset.map(_preprocess_inference),
dataset = dataset.map(_parser),
dataset = dataset.map(_parser)
and dataset = dataset.map(_preprocess_inference)
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.