diff options
| author |  Alexandre Passos <apassos@google.com> | 2018-09-27 13:18:33 -0700 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-09-27 13:23:04 -0700 |
| commit | 4cedc8b6e738b7a188c9c091cf667bacafae44b7 (patch) | |
| tree | 56de35940e5f9daedd5f39a82d2cd90cf374e4e4 /tensorflow/compiler | |
| parent | c898e63d07fc63315be98f0772736e5d7f2fb44c (diff) | |
Updating the V2 variables API.
PiperOrigin-RevId: 214824023
Diffstat (limited to 'tensorflow/compiler')
| -rw-r--r-- | tensorflow/compiler/aot/tests/make_test_graphs.py | 4 | ||||
| -rw-r--r-- | tensorflow/compiler/tests/lstm.py | 2 |
2 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/compiler/aot/tests/make_test_graphs.py b/tensorflow/compiler/aot/tests/make_test_graphs.py index de135d7a23..64b861a730 100644 --- a/tensorflow/compiler/aot/tests/make_test_graphs.py +++ b/tensorflow/compiler/aot/tests/make_test_graphs.py @@ -47,7 +47,7 @@ def tfadd(_): def tfadd_with_ckpt(out_dir): x = array_ops.placeholder(dtypes.int32, name='x_hold') - y = variables.Variable(constant_op.constant([0]), name='y_saved') + y = variables.VariableV1(constant_op.constant([0]), name='y_saved') math_ops.add(x, y, name='x_y_sum') init_op = variables.initialize_all_variables() @@ -62,7 +62,7 @@ def tfadd_with_ckpt(out_dir): def tfadd_with_ckpt_saver(out_dir): x = array_ops.placeholder(dtypes.int32, name='x_hold') - y = variables.Variable(constant_op.constant([0]), name='y_saved') + y = variables.VariableV1(constant_op.constant([0]), name='y_saved') math_ops.add(x, y, name='x_y_sum') init_op = variables.initialize_all_variables() diff --git a/tensorflow/compiler/tests/lstm.py b/tensorflow/compiler/tests/lstm.py index 43c469d032..73b3638e80 100644 --- a/tensorflow/compiler/tests/lstm.py +++ b/tensorflow/compiler/tests/lstm.py @@ -117,7 +117,7 @@ def LSTMLayer(cell_name, weights, m, c, x_seq, pad_seq): def RandomVar(shape, name=None): """Returns a variable of the given shape initialized to random values.""" - return variables.Variable( + return variables.VariableV1( random_ops.random_uniform(shape), dtype=dtypes.float32, name=name) |