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authorGravatar Alexandre Passos <apassos@google.com>2018-09-27 13:18:33 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-09-27 13:23:04 -0700
commit4cedc8b6e738b7a188c9c091cf667bacafae44b7 (patch)
tree56de35940e5f9daedd5f39a82d2cd90cf374e4e4 /tensorflow/contrib/learn
parentc898e63d07fc63315be98f0772736e5d7f2fb44c (diff)
Updating the V2 variables API.
PiperOrigin-RevId: 214824023
Diffstat (limited to 'tensorflow/contrib/learn')
-rw-r--r--tensorflow/contrib/learn/python/learn/graph_actions_test.py12
-rw-r--r--tensorflow/contrib/learn/python/learn/monitors_test.py10
2 files changed, 11 insertions, 11 deletions
diff --git a/tensorflow/contrib/learn/python/learn/graph_actions_test.py b/tensorflow/contrib/learn/python/learn/graph_actions_test.py
index 33180b778a..a160cb54a3 100644
--- a/tensorflow/contrib/learn/python/learn/graph_actions_test.py
+++ b/tensorflow/contrib/learn/python/learn/graph_actions_test.py
@@ -162,9 +162,9 @@ class GraphActionsTest(test.TestCase):
Tuple of 3 `Tensor` objects, 2 input and 1 output.
"""
variables_lib.create_global_step()
- in0 = variables.Variable(1.0)
+ in0 = variables.VariableV1(1.0)
in1 = variables_lib.local_variable(2.0)
- fake_table = variables.Variable(
+ fake_table = variables.VariableV1(
3.0,
trainable=False,
collections=['fake_tables'],
@@ -312,8 +312,8 @@ class GraphActionsTest(test.TestCase):
def test_evaluate_ready_for_local_init(self):
with ops.Graph().as_default() as g, self.session(g):
variables_lib.create_global_step()
- v = variables.Variable(1.0)
- variables.Variable(
+ v = variables.VariableV1(1.0)
+ variables.VariableV1(
v + 1, collections=[ops.GraphKeys.LOCAL_VARIABLES], trainable=False)
ready_for_local_init_op = variables.report_uninitialized_variables(
variables.global_variables())
@@ -456,9 +456,9 @@ class GraphActionsTrainTest(test.TestCase):
Tuple of 3 `Tensor` objects, 2 input and 1 output.
"""
variables_lib.create_global_step()
- in0 = variables.Variable(1.0)
+ in0 = variables.VariableV1(1.0)
in1 = variables_lib.local_variable(2.0)
- fake_table = variables.Variable(
+ fake_table = variables.VariableV1(
3.0,
trainable=False,
collections=['fake_tables'],
diff --git a/tensorflow/contrib/learn/python/learn/monitors_test.py b/tensorflow/contrib/learn/python/learn/monitors_test.py
index 83e48a36e7..d4a7169bb6 100644
--- a/tensorflow/contrib/learn/python/learn/monitors_test.py
+++ b/tensorflow/contrib/learn/python/learn/monitors_test.py
@@ -247,7 +247,7 @@ class MonitorsTest(test.TestCase):
def test_logging_trainable(self):
with ops.Graph().as_default() as g, self.session(g):
- var = variables.Variable(constant_op.constant(42.0), name='foo')
+ var = variables.VariableV1(constant_op.constant(42.0), name='foo')
var.initializer.run()
cof = constant_op.constant(1.0)
loss = math_ops.subtract(
@@ -261,7 +261,7 @@ class MonitorsTest(test.TestCase):
with ops.Graph().as_default() as g, self.session(g):
log_dir = 'log/dir'
summary_writer = testing.FakeSummaryWriter(log_dir, g)
- var = variables.Variable(0.0)
+ var = variables.VariableV1(0.0)
var.initializer.run()
tensor = state_ops.assign_add(var, 1.0)
summary_op = summary.scalar('my_summary', tensor)
@@ -526,8 +526,8 @@ class MonitorsTest(test.TestCase):
monitor0 = learn.monitors.GraphDump()
monitor1 = learn.monitors.GraphDump()
with ops.Graph().as_default() as g, self.session(g):
- const_var = variables.Variable(42.0, name='my_const')
- counter_var = variables.Variable(0.0, name='my_counter')
+ const_var = variables.VariableV1(42.0, name='my_const')
+ counter_var = variables.VariableV1(0.0, name='my_counter')
assign_add = state_ops.assign_add(counter_var, 1.0, name='my_assign_add')
variables.global_variables_initializer().run()
@@ -569,7 +569,7 @@ class MonitorsTest(test.TestCase):
monitor = learn.monitors.CaptureVariable(
var_name='my_assign_add:0', every_n=8, first_n=2)
with ops.Graph().as_default() as g, self.session(g):
- var = variables.Variable(0.0, name='my_var')
+ var = variables.VariableV1(0.0, name='my_var')
var.initializer.run()
state_ops.assign_add(var, 1.0, name='my_assign_add')
self._run_monitor(monitor, num_epochs=3, num_steps_per_epoch=10)