keras-onnx
keras-onnx copied to clipboard
onnx
Convert tf.keras/Keras models to ONNX
Hey, As demonstraded in below code example, when loading the keras2onnx module, the functionality of the python comparison operators changes. Is this expected behaviour? ``` import tensorflow as tf zs...
Hi, Using versions tensorflow 2.3.0, keras2onnx 1.7.0 keras 2.4.3 ``` from tensorflow.keras.wrappers.scikit_learn import KerasClassifier from tensorflow.keras.models import Sequential #initialise NN as sequence of layers from tensorflow.keras.layers import Dense, Dropout #build...
//question////////// I tried to convert keras model (VAE) to onnx, and onnx model is built. But I noticed error during converting. Why does the error occur? //Error////////// The layer doesn't...
One of the reasons to implement a custom conversion function is to avoid all the extra transpose operations (nchw -> nwhc -> nchw). However, the part of the graph that...
i trained model with TF2.0 and saved as .pb files use tf.keras.models.load_model with custom_objects but keras2onnx.convert_keras failed File ".\model_test.py", line 41, in model = covert_onnx(model) File ".\model_test.py", line 30, in...
I am trying to convert a Keras model to onnx and get the above error. I trained a model using this GitHub repo: https://github.com/fbadine/LSTNet. The result is a json and...
Following example fails with error ``AssertionError: dense_input:01 is disconnected, check the parsing log for more details.``. ``` model = quantize_model( keras.Sequential([ layers.Dense(3, activation='relu', input_shape=(5,)), layers.Dense(3, activation='relu', input_shape=(3,)), ])) model.compile(optimizer="Adam", loss="mse",...
I wish to convert from keras to onnx, My order is HWC [ Height, Width, Channels ] instead of CHW [ Channels, Height, Width] How to specify this change of...
Hi together, I am trying to convert two simple Lambda layer as a model: ```python import tensorflow as tf from tensorflow.keras.models import Model from tensorflow.keras.layers import Input, Lambda import keras2onnx...
When converting a custom layer with skip connection it gives an error it doesn't matter what is the layer doing even dummy layer if model : ` def model(): >...
