i get this error. what do i do? new to python and programming and just want to execute this cool program.

[n4hid]

2020-11-26 23:16:55.536092: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN)to use the following CPU instructions in performance-critical operations: AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2020-11-26 23:16:55.550165: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7fdf6d52e130 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-11-26 23:16:55.550181: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
Traceback (most recent call last):
File "/Users/nahidahmed/Desktop/SnakeGame/snakeClass.py", line 309, in
run(args.display, args.speed, params)
File "/Users/nahidahmed/Desktop/SnakeGame/snakeClass.py", line 223, in run
agent = DQNAgent(params)
File "/Users/nahidahmed/Desktop/SnakeGame/DQN.py", line 29, in init
self.model = self.network()
File "/Users/nahidahmed/Desktop/SnakeGame/DQN.py", line 33, in network
model.add(Dense(output_dim=self.first_layer, activation='relu', input_dim=11))
TypeError: init() missing 1 required positional argument: 'units'

[Ad1tyaV]

Same error on windows as well, could you please let us know

[CodeBlog-x64]

Sorry for pushing this thread but I’m also struggling with this as well. I didn’t know if I should change the output_dims to units instead. If anyone could clarify how we could fix this problem and confusion we would greatly appreciate it.

Ps: I am using windows 10, python 3.8, and Tensorflow 2.

[tipycalFlow]

Removing param name output_dim fixes this:
Replace model.add(Dense(output_dim=self.first_layer, activation='relu', input_dim=11)) with
model.add(Dense(self.first_layer, activation='relu', input_dim=11)) for all instances where Dense layer is created

[n4hid]

Removing param name output_dim fixes this:

[n4hid]

@tipycalFlow hey can you send me a video of this working, whether its a youtube link or something. this would be very helpful.

[Sviskon0]

Sorry for not bringing a solution, but this replaces the error with

Traceback (most recent call last):
File "thonnyfiler/snake/snake-ga-master1/snakeClass.py", line 308, in
run(args.display, args.speed, params)
File "thonnyfiler/snake/snake-ga-master1/snakeClass.py", line 222, in run
agent = DQNAgent(params)
File "C:\Users\Elev\thonnyfiler\snake\snake-ga-master1\DQN.py", line 27, in init
self.model = self.network()
File "C:\Users\Elev\thonnyfiler\snake\snake-ga-master1\DQN.py", line 34, in network
model.add(Dense(activation='softmax'))
TypeError: init() missing 1 required positional argument: 'units'

Removing param name output_dim fixes this:
Replace model.add(Dense(output_dim=self.first_layer, activation='relu', input_dim=11)) with
model.add(Dense(self.first_layer, activation='relu', input_dim=11)) for all instances where Dense layer is created

[robert-lara]

Change these lines to units instead of output_dim in DQN.py lines 31-34:

model.add(Dense(units=self.first_layer, activation='relu', input_dim=11))
model.add(Dense(units=self.second_layer, activation='relu'))
model.add(Dense(units=self.third_layer, activation='relu'))
model.add(Dense(units=3, activation='softmax'))