when I run the project , i got the error.
ValueError: Variable d_h0_conv/w/Adam/ does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=None in VarScope?
the part of code is below.
the optimizer:
d_optim = tf.train.AdamOptimizer(config.learning_rate, beta1=config.beta1) \
.minimize(self.d_loss, var_list= self.d_vars)
g_optim = tf.train.AdamOptimizer(config.learning_rate, beta1=config.beta1) \
.minimize(self.g_loss, var_list= self.g_vars)
the variables:
self.d_vars = [var for var in t_vars if 'd_' in var.name]
self.g_vars = [var for var in t_vars if 'g_' in var.name]
the operation:
def conv2d(input_, output_dim,
k_h=5, k_w=5, d_h=2, d_w=2, stddev=0.02,
name="conv2d"):
with tf.variable_scope(name):
w = tf.get_variable('w', [k_h, k_w, input_.get_shape()[-1], output_dim],
initializer=tf.truncated_normal_initializer(stddev=stddev))
conv = tf.nn.conv2d(input_, w, strides=[1, d_h, d_w, 1], padding='SAME')
biases = tf.get_variable('biases', [output_dim], initializer=tf.constant_initializer(0.0))
conv = tf.reshape(tf.nn.bias_add(conv, biases), conv.get_shape())
return conv
Environment:
ubuntu14.04 , python2.7 tensorflow 0.12
Thank you for help. I need help.
I assume you were were running the command to train the network after pulling the data.
I was able to clone the project, pull the image data sets, and run the training command using Python 3.5 on Ubuntu w/Tensorflow 0.12. The commands are only slightly different
(e.g. python3 main.py --dataset mnist --is_train True vs python...)
I know this project support python 2.7 but you able to run the project using python3?