Implementing in colab

[Swathi-Guptha]

I have been trying to implement this code in colab but there is alot of version issue.
The requirements file have tensorflow=1.14.1 which is supported by cuda=10.0
My colab have tensorflow=2.2.0 which is supported by 10.1 and i'm getting the following error:
AttributeError Traceback (most recent call last)

in ()
----> 1 model = Xnet(backbone_name='resnet50', encoder_weights='imagenet', decoder_block_type='transpose') # build UNet++

7 frames

/usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py in placeholder(shape, ndim, dtype, sparse, name)
513 x = tf.sparse_placeholder(dtype, shape=shape, name=name)
514 else:
--> 515 x = tf.placeholder(dtype, shape=shape, name=name)
516 x._keras_shape = shape
517 x._uses_learning_phase = False

AttributeError: module 'tensorflow' has no attribute 'placeholder'

Can there be any way in which the above version problem can be rectified?

[maksym33]

Maybe try:
%tensorflow_version 1.x
from https://colab.research.google.com/notebooks/tensorflow_version.ipynb ?

[Swathi-Guptha]

1.! python -m pip install Keras==2.3.1 tensorflow==2.1.0
2. import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
print(tf.version)

After executing the requirements file we need to run the above two steps to run the code in colab

[ItsCRC]

After following your instructions from the above comment on colab, it gives this error after first epoch:
Epoch 1/70
74/74 [==============================] - 273s 4s/step - loss: 0.4780 - dice_coef: 0.5583 - val_loss: 5.9511 - val_dice_coef: 0.2558
NotImplementedError Traceback (most recent call last)
in ()
----> 1 history = model.fit(train_generator, validation_data=valid_generator, callbacks=callbackslist, epochs=70, verbose=1)
/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/resource_variable_ops.py in numpy(self)
582 return self.read_value().numpy()
583 raise NotImplementedError(
--> 584 "numpy() is only available when eager execution is enabled.")
585
586 @deprecated(None, "Prefer Dataset.range instead.")

NotImplementedError: numpy() is only available when eager execution is enabled.

I tried:
import tensorflow.compat.v1 as tf
tf.enable_eager_execution()

tf.disable_v2_behavior()
print(tf.version)

Still same error....@Swathi-Gupta