Category: Misc

I made a simple web page to test FLOPS with tensorflow.js

https://www.videogames.ai/tensorflow-js-benchmark

Improvements compared to the previous flops test page I made if you already seen it:

• TF.JS now runs in a web worker, so the test reduces page freezes
• Can now choose which backend to use. I disabled WASM backend since there is seems to be a bug with web workers. Github Issue
• More info about the host are displayed

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I get 417.467 flops on the integrated GPU of AMD Ryzen 5700u

What do you get?

I have a model with multiple outputs. It’s trained with one loss function that minimizes loss for all of them together.

After the model is trained, I’m curious about the individual losses of each output. Is there anyway to easily evaluate the model so that I get multiple losses, one for each output?

The code works perfectly fine if I don’t include my custom accuracy metric function. Can someone tell the fix for the same?

Accuracy Metric Function

def get_multiaccuracy(y_true, y_pred): total_labels = 0 correct_labels = 0 for i, val in enumerate(y_true): if val == 1: total_labels += 1 if y_pred[i] == 1: correct_labels += 1 for i, val in enumerate(y_pred): if val == 1: if y_true[i] != 1: total_labels += 1 return correct_labels/total_labels 

Model Compiler

model.compile(optimizer = 'adam', loss='binary_crossentropy',metrics=[get_multiaccuracy]) 

Hello, i am using tensorflow-addons API for a machine translation project.

I want to load my models and do predictions without train again them.

My architecture is Encoder – Decoder with Bahdanau Attention mechanism.

When i try to serialize the encoder and decoder objects in a file and i get this error :

TypeError: can’t pickle tensorflow.python.client._pywrap_tf_session.TF_Operation objects

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How can i resolve this ?