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Questions tagged [tensorflow-addons]

19 questions
2
votes
2 answers

PyTorch equivalent function for tfa.image.transform

I want to perform an image transformation using a transformation matrix in PyTorch. My previous code was implemented in TensorFlow, so I wonder if there is any PyTorch equivalent function for tfa.image.transform ? Thank you.
Naufal Suryanto
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1 answer

How to get learning rate of AdamW optimizer (using multioptimizer)

I am using AdamW optimizer with two different learning rates: One for pre-trained layer and the other for custom layer import tensorflow_addons as tfa lr = 1e-3 wd = 1e-4 * lr optimizers = [ tfa.optimizers.AdamW(learning_rate=pre_trained_layer_lr ,…
learner
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1 answer

Tensorflow Addons R2 ValueError: Dimension 0 in both shapes must be equal, but are 1 and 5

I have been trying to add a tfa metric to my model compile to be tracked throughout the training. However, when I add the R2 metric, I get the following error. I thought y_shape=(1,) would fix this, however it did not. ValueError: Dimension 0 in…
Jehan Dastoor
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0 answers

How to show f1 scores for each class in tensorboard during training

I am training a multi-class classification network. I use metrics from tensorboard-addons and compile the model like this: import tensorflow-addons as tfa [...] metrics = [tfa.metrics.F1Score(num_classes=CLASSES,…
Konqi
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What does the semi hard triplet loss function from tensorflow_addons actually do?

In my humble opinion, the simple answer to this question, it implements the semi hard triplet loss function as described in the paper "FaceNet: A Unified Embedding for Face Recognition and Clustering" is not true. Contrary to the paper, it does not…
Wonderer
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1 answer

multi-output keras model with a callback that monitors two metrics

I have a tf model that has two outputs, as indicated by this model.compile(): model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=7e-4), loss={"BV": tf.keras.losses.MeanAbsoluteError(), "Rsp":…
Ondrej_D
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**TypeError: can't pickle tensorflow.python.client._pywrap_tf_session.TF_Operation objects**

I am using Tensorflow-addons API for a machine translation project. I want to load my models and do predictions without train them again. My architecture is Encoder - Decoder with Bahdanau Attention mechanism. When I try to serialize, with dill…
Madibaba Diakite
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1 answer

How to resolve compatibility issues for Tensorflow and associated packages?

I cannot find a way to pip install the following Python modules without compatibility issues (from a requirements.txt file, on Red Hat Enterprise Linux release 8.2): tensorflow_gpu tensorflow_addons tensorflow_io pandas pillow matplotlib I tried to…
Manuel Popp
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1 answer

ValueError: Dimensions must be equal, but are 100 and 19 with input shapes: [?,100], [?,100,19]

I have an error in my code, and I've done read the documentation but it still error, How this error can be fixed? Code: import tensorflow.keras.backend as K import tensorflow_addons as tfa from tensorflow_addons.layers import CRF from keras_crf…
Aizayousaf
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1 answer

CRF layer ValueError: Dimensions must be equal, but are 75 and 8 for

I am using BiLSTM-CRF for the NER problem when I build the layers and successfully generate the summary, however, when I try to train the model it gives me the Dimension error. It was working fine when I am using Keras and Keras-contrib packages…
user3309779
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Tensorflow function tfa.optimizers.extend_with_decoupled_weight_decay() Raises Exception upon Execution

Recently, I’ve been working on machine learning using Tensorflow 2. My code requires the tfa.optimizers.extend_with_decoupled_weight_decay() function implemented in the Tensorflow-addons package (TFA). However, during execution, the code raises a…
ScientiaNatura
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ValueError: Unknown layer: Addons>InstanceNormalization

I tried to load my weight into my model, but i got the following the error. ValueError: Unknown layer: Addons>InstanceNormalization I have already search for similar problems, the error they got as follow. ValueError: Unknown layer:…
K.S.
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Does tensorflow_addons conflict with tensorflow?

I'm able to run an ANN model using tensorflow and keras as below: import tensorflow as tf from keras.models import Sequential from keras.layers import Dense firstModel = Sequential() Since I need to use RSquared metric (R2), I installed…
Ashi
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1 answer

TypeError identified in implementing ‘WeightNormalization’ layer within tensorflow-addon

I found the error below when I followed the example code of 'WeightNormalization' wrapper implemented in the tensorflow-addons. The environment is OS: Ubuntu 18.04LTS Tensorflow: 2.11 (latest-gpu), typeguard==3.0.1 python: 3.8.10 I identify the…
zwldwhdk
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ESN slow to train model

I have been using Keras Conv1D layer to train a forecast model. Like this: model = Sequential(name='Conv1D_NE') model.add(InputLayer((57, 1), name='Input_Layer')) model.add(Conv1D(filters=256, kernel_size=4, activation=['tanh'],…
Murilo
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