Comments (4)
xiaoguai0992
commented on August 23, 2024
5
I solved it by changing part of your code.
At ActionNetwork.py:
Replace Steering = Dense(.... and following 3 lines Dense call with
Dense(1,activation='tanh',init=lambda shape:VarianceScaling(scale=1e-4)(shape))(h1)
and from keras.initializers import VarianceScaling
then the code works correctly.
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yanpanlau
commented on August 23, 2024
The code was only test with Python 2.7, tensorflow 0.12 and Keras version
1.x (which is the latest version as of Oct 2016).
I heard there are many new changes in Keras 2.0 and Tensorflow 1.x so
probably not compatible.
I will need a bit time to re-write under the latest version.
Thanks for your kind understanding.
[Or you can just setup an virtual environment and install the old version,
I am sure it will work]
…On Wed, Apr 12, 2017 at 7:23 PM, xiaoguai0992 ***@***.***> wrote:
When I tried your code under Keras2.0.3 and tensorflow1.0.1 backend, some
error occurs.
Python version is 3.6
Which part should I modify if I want to run it correctly and why?
Thanks a lot.
Here are the detail imformation:
Traceback (most recent call last):
File "ddpg.py", line 162, in
playGame()
File "ddpg.py", line 52, in playGame
actor = ActorNetwork(sess, state_dim, action_dim, BATCH_SIZE, TAU, LRA)
File "/home/test/gym_torcs/ActorNetwork.py", line 25, in *init*
self.model , self.weights, self.state = self.create_actor_network(state_size,
action_size)
File "/home/test/gym_torcs/ActorNetwork.py", line 51, in
create_actor_network
Steering = Dense(1,activation='tanh',init=lambda shape, name:
normal(shape, scale=1e-4, name=name))(h1)
File "/home/test/anaconda3/lib/python3.6/site-packages/keras/engine/topology.py",
line 551, in *call*
self.build(input_shapes[0])
File "/home/test/anaconda3/lib/python3.6/site-packages/keras/layers/core.py",
line 827, in build
constraint=self.kernel_constraint)
File "/home/test/anaconda3/lib/python3.6/site-packages/keras/engine/topology.py",
line 384, in add_weight
weight = K.variable(initializer(shape), dtype=K.floatx(), name=name)
TypeError: () missing 1 required positional argument: 'name'
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s7ev3n
commented on August 23, 2024
I was facing this keras(2.0.5) and tensorflow (gpu 1.2.1) version mismatch problem too. And I replaced what you did, and it stoped error, but it keeps relauching torcs, I am not sure it is training??
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brucewayne1248
commented on August 23, 2024
Could someone elaborate on what the lines
Steering = Dense(1,activation='tanh',init=lambda shape, name: normal(shape, scale=1e-4, name=name))(h1)
or the replaced
Steering = Dense(1,activation='tanh',init=lambda shape:VarianceScaling(scale=1e-4)(shape))(h1)
exactly do? I understand that it creates a layer outputting one scalar value with the activation function tanh (values -1 to 1) using the input layer h1. However I am confused by the way the lambda command and the shape keyword is used.
I assume it is used to initialize the kernel weights of the output layer to normally distributed values with respect to amount of input and output values? Is there maybe a "more beginner friendly" way to write those lines? Thanks in advance
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