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Small helper to get the global step.
Aliases:
tf.train.global_step(
sess,
global_step_tensor
)
# Create a variable to hold the global_step.
global_step_tensor = tf.Variable(10, trainable=False, name='global_step')
# Create a session.
sess = tf.compat.v1.Session()
# Initialize the variable
sess.run(global_step_tensor.initializer)
# Get the variable value.
print('global_step: %s' % tf.compat.v1.train.global_step(sess,
global_step_tensor))
global_step: 10
Args:
sess
: A TensorFlowSession
object.global_step_tensor
:Tensor
or thename
of the operation that contains the global step.
Returns:
The global step value.