chore: import upstream snapshot with attribution
This commit is contained in:
@@ -0,0 +1,81 @@
|
||||
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
|
||||
LOOKUP_TABLE_TYPE = "lookup_table"
|
||||
|
||||
|
||||
def find_distributed_lookup_table_inputs(program, table_name):
|
||||
"""
|
||||
Find input variable of distribute lookup table in program.
|
||||
We only support one distribute table now.
|
||||
Args:
|
||||
program(Program): given program, locate distributed lookup table
|
||||
table_name(str): given table name that is found beforehand
|
||||
Returns:
|
||||
inputs
|
||||
"""
|
||||
local_vars = program.current_block().vars
|
||||
inputs = []
|
||||
for op in program.global_block().ops:
|
||||
if op.type == LOOKUP_TABLE_TYPE:
|
||||
if table_name == op.input("W")[0]:
|
||||
inputs.extend([local_vars[name] for name in op.input("Ids")])
|
||||
return inputs
|
||||
|
||||
|
||||
def find_distributed_lookup_table_outputs(program, table_name):
|
||||
"""
|
||||
Find output variable of distribute lookup table in program.
|
||||
We only support one distribute table now.
|
||||
Args:
|
||||
program(Program): given program, locate distributed lookup table
|
||||
table_name(str): given table name that is found beforehand
|
||||
Returns:
|
||||
outputs
|
||||
"""
|
||||
local_vars = program.current_block().vars
|
||||
outputs = []
|
||||
for op in program.global_block().ops:
|
||||
if op.type == LOOKUP_TABLE_TYPE:
|
||||
if table_name == op.input("W")[0]:
|
||||
outputs.extend([local_vars[name] for name in op.output("Out")])
|
||||
return outputs
|
||||
|
||||
|
||||
def find_distributed_lookup_table(program):
|
||||
"""
|
||||
Find distribute lookup table in program.
|
||||
We only support one distribute table now.
|
||||
Args:
|
||||
program(Program): given program, locate distributed lookup table
|
||||
Returns:
|
||||
table_name or None
|
||||
"""
|
||||
table_name = None
|
||||
|
||||
for op in program.global_block().ops:
|
||||
if op.type == LOOKUP_TABLE_TYPE:
|
||||
if op.attr('is_distributed') is True:
|
||||
if table_name is None:
|
||||
table_name = op.input("W")[0]
|
||||
if table_name != op.input("W")[0]:
|
||||
raise RuntimeError(
|
||||
"all distributed lookup_table_ops"
|
||||
" should have only one table"
|
||||
)
|
||||
else:
|
||||
if table_name is not None:
|
||||
assert op.input("W")[0] != table_name
|
||||
|
||||
return table_name
|
||||
Reference in New Issue
Block a user