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| author |  Nupur Garg <nupurgarg@google.com> | 2018-06-04 12:08:15 -0700 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-06-04 12:11:22 -0700 |
| commit | d16877ce0372df0c1ff5b8046fbe8985cfb796f9 (patch) | |
| tree | 8f7aa8b070093900a0479f0fc4736a673154f9fe | |
| parent | 836fc096c77a3b1170b91242e30b6075e7805cec (diff) | |
Fix Python API.
PiperOrigin-RevId: 199171845
| -rw-r--r-- | tensorflow/contrib/lite/python/convert_saved_model.py | 4 | ||||
| -rw-r--r-- | tensorflow/contrib/lite/python/convert_saved_model_test.py | 9 |
2 files changed, 9 insertions, 4 deletions
diff --git a/tensorflow/contrib/lite/python/convert_saved_model.py b/tensorflow/contrib/lite/python/convert_saved_model.py index b952a72aab..5dad49f1ed 100644 --- a/tensorflow/contrib/lite/python/convert_saved_model.py +++ b/tensorflow/contrib/lite/python/convert_saved_model.py @@ -216,9 +216,9 @@ def set_tensor_shapes(tensors, shapes): """ if shapes: for tensor in tensors: - shape = shapes.get(tensor.name) + shape = shapes.get(tensor_name(tensor)) if shape is not None: - tensor.set_shape(shapes[tensor.name]) + tensor.set_shape(shape) def freeze_saved_model(saved_model_dir, input_arrays, input_shapes, diff --git a/tensorflow/contrib/lite/python/convert_saved_model_test.py b/tensorflow/contrib/lite/python/convert_saved_model_test.py index 80e5dc6e46..1e570d2c89 100644 --- a/tensorflow/contrib/lite/python/convert_saved_model_test.py +++ b/tensorflow/contrib/lite/python/convert_saved_model_test.py @@ -73,10 +73,15 @@ class TensorFunctionsTest(test_util.TensorFlowTestCase): tensor = array_ops.placeholder(shape=[None, 3, 5], dtype=dtypes.float32) self.assertEqual([None, 3, 5], tensor.shape.as_list()) - convert_saved_model.set_tensor_shapes([tensor], - {"Placeholder:0": [5, 3, 5]}) + convert_saved_model.set_tensor_shapes([tensor], {"Placeholder": [5, 3, 5]}) self.assertEqual([5, 3, 5], tensor.shape.as_list()) + def testSetTensorShapeNoneValid(self): + tensor = array_ops.placeholder(dtype=dtypes.float32) + + convert_saved_model.set_tensor_shapes([tensor], {"Placeholder": [1, 3, 5]}) + self.assertEqual([1, 3, 5], tensor.shape.as_list()) + def testSetTensorShapeInvalid(self): tensor = array_ops.placeholder(shape=[None, 3, 5], dtype=dtypes.float32) self.assertEqual([None, 3, 5], tensor.shape.as_list()) |