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hub / github.com/DeepRec-AI/DeepRec / get_hash_table

Method get_hash_table

tensorflow/python/ops/variable_scope.py:1527–1573  ·  view source on GitHub ↗

Gets an existing variable with this name or create a new one.

(self,
                     var_store,
                     name,
                     shape=None,
                     dtype=None,
                     initializer=None,
                     collections=None,
                     reuse=None,
                     trainable=True,
                     synchronization=VariableSynchronization.AUTO,
                     partitioner=None,
                     children=None)

Source from the content-addressed store, hash-verified

1525 aggregation=aggregation)
1526
1527 def get_hash_table(self,
1528 var_store,
1529 name,
1530 shape=None,
1531 dtype=None,
1532 initializer=None,
1533 collections=None,
1534 reuse=None,
1535 trainable=True,
1536 synchronization=VariableSynchronization.AUTO,
1537 partitioner=None,
1538 children=None):
1539 """Gets an existing variable with this name or create a new one."""
1540 if partitioner is None:
1541 partitioner = self._partitioner
1542 if not context.executing_eagerly():
1543 if reuse is None:
1544 reuse = self._reuse
1545 else:
1546 reuse = AUTO_REUSE
1547
1548 full_name = self.name + "/" + name if self.name else name
1549 # Variable names only depend on variable_scope (full_name here),
1550 # not name_scope, so we reset it below for the time of variable creation.
1551 with ops.name_scope(None):
1552 # Check that `initializer` dtype and `dtype` are consistent before
1553 # replacing them with defaults.
1554 if (dtype is not None and initializer is not None and
1555 not callable(initializer)):
1556 init_dtype = ops.convert_to_tensor(initializer).dtype.base_dtype
1557 if init_dtype != dtype:
1558 raise ValueError("Initializer type '%s' and explicit dtype '%s' "
1559 "don't match." % (init_dtype, dtype))
1560 if initializer is None:
1561 initializer = self._initializer
1562 if dtype is None:
1563 dtype = self._dtype
1564 return var_store.get_hashtable(full_name,
1565 shape=shape,
1566 dtype=dtype,
1567 initializer=initializer,
1568 reuse=reuse,
1569 collections=collections,
1570 trainable=trainable,
1571 synchronization=synchronization,
1572 partitioner=partitioner,
1573 children=children)
1574
1575 def get_embedding_variable(self,
1576 var_store,

Callers 6

get_hash_tableFunction · 0.80
get_hashtableMethod · 0.80
create_hashtableMethod · 0.80
create_hashtableMethod · 0.80

Calls 3

executing_eagerlyMethod · 0.80
name_scopeMethod · 0.45
get_hashtableMethod · 0.45

Tested by 3

get_hashtableMethod · 0.64
create_hashtableMethod · 0.64