Question about "1.2 Finding the inverse function of a parabola"

[ANTAGNIST]

My anaconda list is followed:

• numpy=1.23.4
• tensorflow-gpu=2.10.0
• keras=2.10.0

I copied the following code in page6:
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
# X-Data
N = 200
X = np.random.random(N)
# Generation Y-Data
sign = (- np.ones((N,)))**np.random.randint(2,size=N)
Y = np.sqrt(X) * sign
# Neural network
act = tf.keras.layers.ReLU()
nn_sv = tf.keras.models.Sequential([
tf.keras.layers.Dense(10, activation=act),
tf.keras.layers.Dense(10, activation=act),
tf.keras.layers.Dense(1,activation='linear')
])
# Loss function
loss_sv = tf.keras.losses.MeanSquaredError()
optimizer_sv = tf.keras.optimizers.Adam(learning_rate=0.001)
nn_sv.compile(optimizer=optimizer_sv, loss=loss_sv)
# Training
results_sv = nn_sv.fit(X, Y, epochs=5, batch_size= 5, verbose=1)
But when I runned the code and it runned to Epoch of 1/5:
# Training
results_sv = nn_sv.fit(X, Y, epochs=5, batch_size= 5, verbose=1)
The following quitions occured:
Output exceeds the [size limit]. Open the full output data [in a text editor]
ValueError Traceback (most recent call last)
d:\code\pyMyself\pinn\donw.ipynb Cell 8 in <cell line: 2>()
1 # Training
----> 2 results_sv = nn_sv.fit(X, Y, epochs=5, batch_size= 5, verbose=1)

File d:\Ana\Anaconda3\envs\deepdeS\lib\site-packages\keras\utils\traceback_utils.py:70, in filter_traceback..error_handler(*args, **kwargs)
67 filtered_tb = _process_traceback_frames(e.traceback)
68 # To get the full stack trace, call:
69 # tf.debugging.disable_traceback_filtering()
---> 70 raise e.with_traceback(filtered_tb) from None
71 finally:
72 del filtered_tb

File ~\AppData\Local\Temp_autograph_generated_filelji_gey6.py:15, in outer_factory..inner_factory..tf__train_function(iterator)
13 try:
14 do_return = True
---> 15 retval = ag__.converted_call(ag__.ld(step_function), (ag__.ld(self), ag__.ld(iterator)), None, fscope)
16 except:
17 do_return = False

ValueError: in user code:

File "d:\Ana\Anaconda3\envs\deepdeS\lib\site-packages\keras\engine\training.py", line 1160, in train_function  *
    return step_function(self, iterator)

...
Call arguments received by layer "sequential_2" " f"(type Sequential):
• inputs=tf.Tensor(shape=(5,), dtype=float32)
• training=True
• mask=None

Could you please tell me what kind of step I did wrong?
Thank you very much!

[thunil]

This seems to be a mismatch of the installed version, I can recommend to try it on colab:
https://colab.research.google.com/github/tum-pbs/pbdl-book/blob/master/intro-teaser.ipynb

And then you could adapt your local installation accordingly.