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| author |  A. Unique TensorFlower <gardener@tensorflow.org> | 2016-06-29 16:27:35 -0800 |
|---|---|---|
| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2016-06-29 17:32:17 -0700 |
| commit | 3f488101d8d18d1bf8457ec5e2bd2c39ddea65a0 (patch) | |
| tree | cc162b402f2d8f26e414ff447cbddd53b014a1b7 /tensorflow/python | |
| parent | 1d92cfcbf5c157b3e4069741ae5bdbbea6666dc5 (diff) | |
Improve error diagnostics in embedding_lookup.
Change: 126251739
Diffstat (limited to 'tensorflow/python')
| -rw-r--r-- | tensorflow/python/ops/embedding_ops.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/python/ops/embedding_ops.py b/tensorflow/python/ops/embedding_ops.py index 06be27633b..c948eeb6ff 100644 --- a/tensorflow/python/ops/embedding_ops.py +++ b/tensorflow/python/ops/embedding_ops.py @@ -73,11 +73,11 @@ def embedding_lookup(params, ids, partition_strategy="mod", name=None, Raises: ValueError: If `params` is empty. """ + if params is None or params == []: # pylint: disable=g-explicit-bool-comparison + raise ValueError("Need at least one param") if not isinstance(params, list): params = [params] with ops.op_scope(params + [ids], name, "embedding_lookup") as name: - if not params: - raise ValueError("Need at least one param") np = len(params) # Number of partitions params = ops.convert_n_to_tensor_or_indexed_slices(params, name="params") if np == 1: |