InferenceHelper | Helper Class for Deep Learning Inference Frameworks | Machine Learning library
kandi X-RAY | InferenceHelper Summary
kandi X-RAY | InferenceHelper Summary
TensorFlow Lite + XNNPACK. TensorFlow Lite + EdgeTPU. TensorFlow Lite + GPU. TensorFlow Lite + NNAPI.
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QUESTION
I'm working on a seq2seq RNN generating an output sequence of labels given a seed label. During the inference step I'd like to generate sequences containing only unique labels (i.e. skip labels that have already been added to the output sequence). To do this I created a sampler object that tries to remember the labels that have been added to the output and reduce their logit value to -np.inf
.
Here is the sampler code:
...ANSWER
Answered 2018-Feb-05 at 10:55So, after some investigation I found answers to all my questions related to this thread. The main question was: why self.ids_mask
in InferenceSampler
does not update? The reason is in the internals of dynamic_decode
. According to this answer in Tensorflow's issue tracker:
... only tensors defined inside the loop will be evaluated every loop iteration. All tensors defined outside a loop will be evaluated exactly once.
In my case, self.ids_mask
is specified outside the loop. That means that I need to re-write dynamic_decode
to get what I want. The code below is a bit modified version of the initial task, but it does almost the same.
Let's start with a new dynamic_decode
which should create and update the mask collecting sample_ids
that have been already predicted. I removed the code which i didn't modify, follow the initial_mask
and mask
variables.
New dynamic_decode
:
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