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tensorflow/tensorflow/python/ops/inplace_ops.py at master · codeplaysoftware/tensorflow · GitHub
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inplace_ops.py
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# Copyright 2015 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.
# ==============================================================================
"""Inplace operations.
"""
from
__future__
import
absolute_import
from
__future__
import
division
from
__future__
import
print_function
from
tensorflow
.
python
.
framework
import
ops
from
tensorflow
.
python
.
ops
import
array_ops
from
tensorflow
.
python
.
ops
import
gen_array_ops
from
tensorflow
.
python
.
ops
import
math_ops
def
_inplace_helper
(
x
,
i
,
v
,
op
):
"""Applies an inplace op on (x, i, v).
op is one of gen_array_ops.alias_inplace_update,
gen_array_ops.alias_inplace_add, or gen_array_ops.alias_inplace_sub.
If i is None, x and v must be the same shape. Computes
x op v;
If i is a scalar, x has a rank 1 higher than v's. Computes
x[i, :] op v;
Otherwise, x and v must have the same rank. Computes
x[i, :] op v;
Args:
x: A Tensor.
i: None, a scalar or a vector.
v: A Tensor.
op: alias_inplace_update, alias_inplace_add, or alias_inplace_sub.
Returns:
Returns x.
"""
x
=
ops
.
convert_to_tensor
(
x
)
v
=
ops
.
convert_to_tensor
(
v
,
x
.
dtype
)
if
i
is
None
:
# Full tensor.
return
array_ops
.
reshape
(
op
(
array_ops
.
reshape
(
x
, [
1
,
-
1
]), [
0
],
array_ops
.
reshape
(
v
, [
1
,
-
1
])),
array_ops
.
shape
(
x
))
i
=
math_ops
.
to_int32
(
i
)
if
i
.
get_shape
().
ndims
==
0
:
# Single 0-dim update.
return
op
(
x
,
array_ops
.
reshape
(
i
, [
1
]),
array_ops
.
expand_dims
(
v
,
0
))
return
op
(
x
,
i
,
v
)
def
alias_inplace_update
(
x
,
i
,
v
):
"""Applies an inplace update on input x at index i with value v. Aliases x.
If i is None, x and v must be the same shape. Computes
x = v;
If i is a scalar, x has a rank 1 higher than v's. Computes
x[i, :] = v;
Otherwise, x and v must have the same rank. Computes
x[i, :] = v;
Args:
x: A Tensor.
i: None, a scalar or a vector.
v: A Tensor.
Returns:
Returns x.
"""
return
_inplace_helper
(
x
,
i
,
v
,
gen_array_ops
.
inplace_update
)
def
alias_inplace_add
(
x
,
i
,
v
):
"""Applies an inplace add on input x at index i with value v. Aliases x.
If i is None, x and v must be the same shape. Computes
x += v;
If i is a scalar, x has a rank 1 higher than v's. Computes
x[i, :] += v;
Otherwise, x and v must have the same rank. Computes
x[i, :] += v;
Args:
x: A Tensor.
i: None, a scalar or a vector.
v: A Tensor.
Returns:
Returns x.
"""
return
_inplace_helper
(
x
,
i
,
v
,
gen_array_ops
.
inplace_add
)
def
alias_inplace_sub
(
x
,
i
,
v
):
"""Applies an inplace sub on input x at index i with value v. Aliases x.
If i is None, x and v must be the same shape. Computes
x -= v;
If i is a scalar, x has a rank 1 higher than v's. Computes
x[i, :] -= v;
Otherwise, x and v must have the same rank. Computes
x[i, :] -= v;
Args:
x: A Tensor.
i: None, a scalar or a vector.
v: A Tensor.
Returns:
Returns x.
"""
return
_inplace_helper
(
x
,
i
,
v
,
gen_array_ops
.
inplace_sub
)
def
empty_like
(
x
,
init
=
None
):
"""Returns a non-initialized tensor with the same shape and dtype as x.
Args:
x: A Tensor.
init: Initialize the returned tensor with the default value of
x.dtype(), if True. Otherwise, do not initialize. Defaults to
None.
Returns:
A tensor y, whose dtype and shape are the same as those of x.
y is guaranteed not to be an alias of x. Upon return, y may contain
arbitrary data.
"""
x
=
ops
.
convert_to_tensor
(
x
)
return
gen_array_ops
.
empty
(
array_ops
.
shape
(
x
),
x
.
dtype
,
init
=
init
)
def
inplace_update
(
x
,
i
,
v
):
"""Applies an inplace update on input x at index i with value v.
Note that this function is not actually inplace - it allocates
a copy of x. The utility is not avoiding memory copies but rather
specifying a sparse update.
If i is None, x and v must be the same shape. Computes
y = x; y = v;
If i is a scalar, x has a rank 1 higher than v's. Computes
y = x; y[i, :] = v;
Otherwise, x and v must have the same rank. Computes
y = x; y[i, :] = v;
Args:
x: A Tensor.
i: None, a scalar or a vector.
v: A Tensor.
Returns:
Returns y, which is guaranteed not to be an alias of x.
"""
return
alias_inplace_update
(
gen_array_ops
.
deep_copy
(
x
),
i
,
v
)
def
inplace_add
(
x
,
i
,
v
):
"""Applies an inplace add on input x at index i with value v.
Note that this function is not actually inplace - it allocates
a copy of x. The utility is not avoiding memory copies but rather
specifying a sparse update.
If i is None, x and v must be the same shape. Computes
y = x; y += v;
If i is a scalar, x has a rank 1 higher than v's. Computes
y = x; y[i, :] += v;
Otherwise, x and v must have the same rank. Computes
y = x; y[i, :] += v;
Args:
x: A Tensor.
i: None, a scalar or a vector.
v: A Tensor.
Returns:
Returns y, which is guaranteed not to be an alias of x.
"""
return
alias_inplace_add
(
gen_array_ops
.
deep_copy
(
x
),
i
,
v
)
def
inplace_sub
(
x
,
i
,
v
):
"""Applies an inplace sub on input x at index i with value v.
Note that this function is not actually inplace - it allocates
a copy of x. The utility is not avoiding memory copies but rather
specifying a sparse update.
If i is None, x and v must be the same shape. Computes
y = x; y -= v;
If i is a scalar, x has a rank 1 higher than v's. Computes
y = x; y[i, :] -= v;
Otherwise, x and v must have the same rank. Computes
y = x; y[i, :] -= v;
Args:
x: A Tensor.
i: None, a scalar or a vector.
v: A Tensor.
Returns:
Returns y, which is guaranteed not to be an alias of x.
"""
return
alias_inplace_sub
(
gen_array_ops
.
deep_copy
(
x
),
i
,
v
)
empty
=
gen_array_ops
.
empty
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