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I want to check how many trainable and non-trainable parameters are there before a training starts. For a typical keras/ torch model, model.summary() shows this. But I cannot figure out how to do that…
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Inference stuck when repartition the dataset. Code to reproduce the issue:
```python
import random
import tensorflow as tf
from pyspark.ml.feature import StringIndexer,VectorAssembler,Standard…
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I have a simple Keras model (see below) with a GRU which keras2onnx was mapping just fine to onnx GRU.
Now with tf2onnx.convert.from_keras I get a huge very complicated onnx model with loops and init…
aawce updated
2 years ago
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Using `multiprocessing.Pool().map` to train Keras models concurrently.
As soon as I add the import for `nltk` the shell freezes with no exceptions, requiring the terminal window to be force closed.…
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Hi,
python train.py
Using TensorFlow backend.
Traceback (most recent call last):
File "train.py", line 9, in
from keras.layers import GRU, Dense, Embedding, ChainCRF, LSTM, Bidirectional,…
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## Full code using synthetic data to exemplify error message
import pandas as pd
import numpy as np
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.losses import MSE
from ten…
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Hi, except NNCLR, other models faced this error `ValueError: operands could not be broadcast together with shapes (32,) (6,) (32,) `
Here is the log:
```
/usr/local/lib/python3.6/dist-packages/…
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I tried calling vasc.vasc(expr) where expr was a 2-dimensional numpy array of dtype int32, but I got this back:
```
(?, 2, 356)
../../2017_12_15_vasc/VASC/VASC/vasc.py:122: UserWarning: The `merg…
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Using Keras 2.0.3, Theano 0.9, Python 3.5.
Images are 256 x 256 grayscale, with binary masks.
Channels first is ensured in Keras back end, appropriate `axis=1`, using `K.set_image_data_format('cha…
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Hello, may I ask how to deal with Traceback error? Thanks.
I use Ubuntu 18.04, with GPU GeForce RTX 2080 with Max-Q.
`Traceback (most recent call last):
File "train.py", line 113, in
…