| /external/tensorflow/tensorflow/python/ops/ |
| embedding_ops.py | 332 sp_ids,
341 represented by sp_ids (i.e. there are no rows with empty features), and that
342 all the indices of sp_ids are in canonical row-major order.
353 sp_ids: N x M SparseTensor of int64 ids (typically from FeatureValueToId),
357 must have exactly the same shape and indices as sp_ids.
373 sparse ids. For each row in the dense tensor represented by sp_ids, the op
383 shape(sp_ids) = shape(sp_weights) = [d0, d1, ..., dn]
389 For instance, if params is a 10x20 matrix, and sp_ids / sp_weights are
403 TypeError: If sp_ids is not a SparseTensor, or if sp_weights is neither
417 if not isinstance(sp_ids, sparse_tensor.SparseTensor)
[all...] |
| sparse_ops.py | [all...] |
| parsing_ops.py | 329 sp_ids = tensor_dict[feature.index_key]
331 sp_ids = [tensor_dict[index_key] for index_key in feature.index_key]
334 sp_ids,
[all...] |
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| lookup_ops_test.py | [all...] |
| embedding_ops_test.py | 630 sp_ids = sparse_tensor.SparseTensor(
639 return sp_ids, sp_weights, ids, weights, vals_per_batch_entry
655 sp_ids, sp_weights, ids, weights, vals_per_batch_entry = (
672 sp_ids,
699 sp_ids, sp_weights, _, _, _ = (self._RandomIdsAndWeights(
711 sp_ids,
725 sp_ids = sparse_tensor.SparseTensor(
736 x, sp_ids, sp_weights, combiner="mean")
[all...] |
| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| embedding_ops.py | 568 sp_ids,
586 sp_ids: N x M SparseTensor of int64 ids (typically from FeatureValueToId),
590 must have exactly the same shape and indices as sp_ids.
606 sparse ids. For each row in the dense tensor represented by sp_ids, the op
611 TypeError: If sp_ids is not a SparseTensor, or if sp_weights is neither
625 if not isinstance(sp_ids, sparse_tensor.SparseTensor):
626 raise TypeError("sp_ids must be SparseTensor")
631 sp_ids.values.get_shape().assert_is_compatible_with(
633 sp_ids.indices.get_shape().assert_is_compatible_with(
635 sp_ids.dense_shape.get_shape().assert_is_compatible_with
[all...] |
| embedding_ops_test.py | 675 sp_ids = sparse_tensor_lib.SparseTensor(
684 return sp_ids, sp_weights, ids, weights, vals_per_batch_entry
700 sp_ids, sp_weights, ids, weights, vals_per_batch_entry = (
718 sp_ids,
745 sp_ids, sp_weights, _, _, _ = (self._RandomIdsAndWeights(
757 sp_ids,
771 sp_ids = sparse_tensor_lib.SparseTensor(
782 x, sp_ids, sp_weights, combiner="mean")
|
| feature_column.py | [all...] |
| /external/tensorflow/tensorflow/contrib/lookup/ |
| lookup_ops_test.py | [all...] |
| /external/tensorflow/tensorflow/python/feature_column/ |
| feature_column.py | [all...] |
