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map_ops.py
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72 lines (58 loc) · 2.46 KB
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# Copyright 2020 The TensorFlow 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.
# ============================================================================
"""Ops to manipulate hashmap of tensors."""
# go/tf-wildcard-import
# pylint: disable=wildcard-import
from tensorflow.python.framework import ops
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import control_flow_ops
from tensorflow.python.ops import gen_map_ops
from tensorflow.python.ops.gen_map_ops import *
ops.NotDifferentiable("EmptyTensorMap")
def empty_tensor_map():
return gen_map_ops.empty_tensor_map()
def tensor_map_size(input_handle):
return gen_map_ops.tensor_map_size(input_handle)
def tensor_map_insert(input_handle, key, value):
return gen_map_ops.tensor_map_insert(input_handle, key, value)
def tensor_map_lookup(input_handle, key, value_dtype):
return gen_map_ops.tensor_map_lookup(input_handle, key, value_dtype)
def tensor_map_erase(input_handle, key, value_dtype):
return gen_map_ops.tensor_map_erase(input_handle, key, value_dtype)
def tensor_map_has_key(input_handle, key):
return gen_map_ops.tensor_map_has_key(input_handle, key)
def tensor_map_stack_keys(input_handle, key_dtype):
return gen_map_ops.tensor_map_stack_keys(input_handle, key_dtype)
@ops.RegisterGradient("TensorMapLookup")
def LookupGrad(op, dval):
_, k = op.inputs
map_grad = empty_tensor_map()
map_grad = tensor_map_insert(map_grad, k, dval)
key_grad = None
return map_grad, key_grad
@ops.RegisterGradient("TensorMapInsert")
def InsertGrad(op, dmap):
_, k, v = op.inputs
key_grad = None
(value_grad, map_grad) = control_flow_ops.cond(
tensor_map_has_key(dmap, k), lambda:
(tensor_map_lookup(dmap, k, v.dtype), tensor_map_erase(dmap, k, v.dtype)),
lambda: (array_ops.zeros_like(v), dmap))
return map_grad, key_grad, value_grad
@ops.RegisterGradient("TensorMapErase")
def EraseGrad(op, dmap):
key_grad = None
map_grad = dmap
return map_grad, key_grad