def testConcatSlice(self):
r1 = test_ops.stub_resource_handle_op(container="a", shared_name="b")
r2 = test_ops.stub_resource_handle_op(container="a", shared_name="c")
c = array_ops.stack([r1, r2])
s = array_ops.strided_slice(c, [1], [2])
self.evaluate(test_ops.resource_create_op(s))
with self.assertRaises(errors.AlreadyExistsError):
self.evaluate(test_ops.resource_create_op(r2))
def testConcatSlice(self):
r1 = test_ops.stub_resource_handle_op(container="a", shared_name="b")
r2 = test_ops.stub_resource_handle_op(container="a", shared_name="c")
c = array_ops.stack([r1, r2])
s = array_ops.strided_slice(c, [1], [2])
self.evaluate(test_ops.resource_create_op(s))
with self.assertRaises(errors.AlreadyExistsError):
self.evaluate(test_ops.resource_create_op(r2))
def test_run_feeds_iter_calls_resources_init(self):
with tf.Graph().as_default() as g:
in0, _, _ = self._build_inference_graph()
handle = test_ops.stub_resource_handle_op(container='a', shared_name='b')
resources.register_resource(
handle=handle,
create_op=test_ops.resource_create_op(handle),
is_initialized_op=test_ops.resource_initialized_op(handle))
for _ in learn.graph_actions.run_feeds_iter({'in0': in0},
feed_dicts=[{}]):
self.assertTrue(test_ops.resource_initialized_op(handle).eval())
def test_run_feeds_iter_calls_resources_init(self):
with tf.Graph().as_default() as g:
in0, _, _ = self._build_inference_graph()
handle = test_ops.stub_resource_handle_op(container='a', shared_name='b')
resources.register_resource(
handle=handle,
create_op=test_ops.resource_create_op(handle),
is_initialized_op=test_ops.resource_initialized_op(handle))
for _ in learn.graph_actions.run_feeds_iter({'in0': in0},
feed_dicts=[{}]):
self.assertTrue(test_ops.resource_initialized_op(handle).eval())
