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AttributeError: 'Tensor' object has no attribute 'output' #14320

Closed ghost closed 3 years ago

ghost commented 3 years ago

Hi everyone:) I'm trying to use keras_explain in colab for my 3dcnn network the visualization method I want is LRP but I'm ending up "AttributeError: 'Tensor' object has no attribute 'output'" error I really do need to solve this problem

my imports are like this: import tensorflow import keras from keras import layers

and also I have to use tensorflow 1 because with tensorflow 2 I'm getting another error so the versions are: tensorflow 1.15.2 keras 2.1.6 (it's the version that installed by keras_explain) I also have keras-vis-0.5.0

this is the model I have:

def get_model(width=80, height=80, depth=80):
    """Build a 3D convolutional neural network model."""

    inputs = keras.Input((width, height, depth, 1))
    x = (inputs)

    x = layers.Conv3D(filters=8, kernel_size=5, activation="relu", padding="same")(x)
    x = layers.MaxPool3D(pool_size=2)(x)
    x = layers.BatchNormalization()(x)

    x = layers.Conv3D(filters=16, kernel_size=3, activation="relu", padding="same")(x)
    x = layers.MaxPool3D(pool_size=2)(x)
    x = layers.BatchNormalization()(x)

    x = layers.Conv3D(filters=32, kernel_size=3, activation="relu", padding="same")(x)
    x = layers.MaxPool3D(pool_size=2)(x)
    x = layers.BatchNormalization()(x)

    x = layers.Flatten()(x)

    x = layers.Dense(units=512, activation="sigmoid")(x)
    x = layers.Dropout(0.05)(x)

    outputs = layers.Dense(units=1, activation="sigmoid")(x)

    # Define the model.
    model = keras.Model(inputs, outputs, name="3dcnn")
    return model

this is the error I get:

AttributeError Traceback (most recent call last)

in () ----> 1 exp = explainer.explain(img, 0) 1 frames /usr/local/lib/python3.6/dist-packages/keras_explain/lrp.py in explain(self, image, target_class) 31 32 # retrieve outputs of all layers ---> 33 outputs = self.get_layers_outputs(model, image) 34 35 relevances = {} # key: layer name, value: relevance of input tensor /usr/local/lib/python3.6/dist-packages/keras_explain/lrp.py in get_layers_outputs(self, model, input) 130 #s_recon_layer = Lambda(lambda x: K.squeeze(x, 2))(recon_layer) 131 --> 132 out_fun = K.function([model.layers[0].input], [layer.output]) 133 layer_output = out_fun([input[None, ...]])[0] 134 activations[layer.name] = layer_output AttributeError: 'Tensor' object has no attribute 'output'
yash-clear commented 3 years ago

@shakilashj I tried your code with version as specified in the image output