Hi!
Thanks in advance for any guidance, I appreciate your time efforts!
Here’s a block of code that demonstrates all four errors I have encountered:
#!/usr/bin/env python3
import tensorflow as tf
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Input, Dense
class CustomLayer(tf.keras.layers.Layer):
def __init__(self, axis=-1, **kwargs):
super(CustomLayer, self).__init__(**kwargs)
self.axis = axis
def call(self, inputs):
# Simulate returning a tuple instead of a tensor
return (inputs[0], inputs[1])
def build_model():
input_A = Input(shape=(1,), dtype=tf.float32)
input_B = Input(shape=(1,), dtype=tf.float32)
# Error 1: AttributeError: 'tuple' object has no attribute 'rank'
concatenated = CustomLayer(axis=-1)([input_A, input_B])
# Error 2: ValueError: A KerasTensor cannot be used as input to a TensorFlow function
concatenated_tf = tf.concat([input_A, input_B], axis=-1)
dense = Dense(64, activation='relu')(concatenated)
output = Dense(1, activation='linear')(dense)
model = Model(inputs=[input_A, input_B], outputs=output)
return model
# Error 3: Warning: Could not find TensorRT
# This warning is related to TensorFlow's integration with NVIDIA TensorRT
# and can be safely ignored if you don't plan to use TensorRT.
try:
model = build_model()
except AttributeError as e:
# Error 4: AttributeError: 'tuple' object has no attribute 'rank'
print("Error 4:", str(e))
except ValueError as e:
print("Error 2:", str(e))
In this code:
- The
CustomLayer
simulates returning a tuple instead of a tensor in itscall
method, leading to theAttributeError: 'tuple' object has no attribute 'rank'
error when passing the output ofCustomLayer
to the subsequentDense
layer. - The line
concatenated_tf = tf.concat([input_A, input_B], axis=-1)
demonstrates theValueError: A KerasTensor cannot be used as input to a TensorFlow function
error when directly using aKerasTensor
as input to a TensorFlow function liketf.concat
. - The comment
# Error 3: Warning: Could not find TensorRT
represents the warning related to TensorFlow’s integration with NVIDIA TensorRT. This warning can be safely ignored if you don’t plan to use TensorRT. - The
try-except
block catches theAttributeError: 'tuple' object has no attribute 'rank'
error that occurs when building the model.
IF I solve one problem I get one of the other two ( 1, 2, 4) , three is just annoying.
Anyone know how to fix the three main errors without causing one of the others?
greatly appreciate the help!
Regards,
SA