FazBrowse GitHub Viewer
|
Trending
|
URL:
|
Home
Tools:
[Download Repo ZIP]
[View Raw Code]
[Original HTTPS Page]
tensorflow/tensorflow/python/ops/histogram_ops.py at master · codeplaysoftware/tensorflow · GitHub
codeplaysoftware
tensorflow
Repository navigation
Code
Issues
Pull requests
Actions
Projects
Security and quality
Insights
Expand file tree
Breadcrumbs
tensorflow
/
tensorflow
/
python
/
ops
/
histogram_ops.py
Copy path
More file actions
More file actions
Latest commit
History
History
History
143 lines (120 loc) · 5.33 KB
Breadcrumbs
tensorflow
/
tensorflow
/
python
/
ops
/
histogram_ops.py
Copy path
File metadata and controls
143 lines (120 loc) · 5.33 KB
Raw
Copy raw file
Download raw file
Open symbols panel
Edit and raw actions
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
# 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.
# ==============================================================================
# pylint: disable=g-short-docstring-punctuation
"""Histograms.
Please see @{$python/histogram_ops} guide.
"""
from
__future__
import
absolute_import
from
__future__
import
division
from
__future__
import
print_function
from
tensorflow
.
python
.
framework
import
dtypes
from
tensorflow
.
python
.
framework
import
ops
from
tensorflow
.
python
.
ops
import
array_ops
from
tensorflow
.
python
.
ops
import
clip_ops
from
tensorflow
.
python
.
ops
import
gen_math_ops
from
tensorflow
.
python
.
ops
import
math_ops
from
tensorflow
.
python
.
util
.
tf_export
import
tf_export
@
tf_export
(
'histogram_fixed_width_bins'
)
def
histogram_fixed_width_bins
(
values
,
value_range
,
nbins
=
100
,
dtype
=
dtypes
.
int32
,
name
=
None
):
"""Bins the given values for use in a histogram.
Given the tensor `values`, this operation returns a rank 1 `Tensor`
representing the indices of a histogram into which each element
of `values` would be binned. The bins are equal width and
determined by the arguments `value_range` and `nbins`.
Args:
values: Numeric `Tensor`.
value_range: Shape [2] `Tensor` of same `dtype` as `values`.
values <= value_range[0] will be mapped to hist[0],
values >= value_range[1] will be mapped to hist[-1].
nbins: Scalar `int32 Tensor`. Number of histogram bins.
dtype: dtype for returned histogram.
name: A name for this operation (defaults to 'histogram_fixed_width').
Returns:
A `Tensor` holding the indices of the binned values whose shape matches
`values`.
Examples:
```python
# Bins will be: (-inf, 1), [1, 2), [2, 3), [3, 4), [4, inf)
nbins = 5
value_range = [0.0, 5.0]
new_values = [-1.0, 0.0, 1.5, 2.0, 5.0, 15]
with tf.get_default_session() as sess:
indices = tf.histogram_fixed_width_bins(new_values, value_range, nbins=5)
variables.global_variables_initializer().run()
sess.run(indices) => [0, 0, 1, 2, 4]
```
"""
with
ops
.
name_scope
(
name
,
'histogram_fixed_width_bins'
,
[
values
,
value_range
,
nbins
]):
values
=
ops
.
convert_to_tensor
(
values
,
name
=
'values'
)
shape
=
array_ops
.
shape
(
values
)
values
=
array_ops
.
reshape
(
values
, [
-
1
])
value_range
=
ops
.
convert_to_tensor
(
value_range
,
name
=
'value_range'
)
nbins
=
ops
.
convert_to_tensor
(
nbins
,
dtype
=
dtypes
.
int32
,
name
=
'nbins'
)
nbins_float
=
math_ops
.
cast
(
nbins
,
values
.
dtype
)
# Map tensor values that fall within value_range to [0, 1].
scaled_values
=
math_ops
.
truediv
(
values
-
value_range
[
0
],
value_range
[
1
]
-
value_range
[
0
],
name
=
'scaled_values'
)
# map tensor values within the open interval value_range to {0,.., nbins-1},
# values outside the open interval will be zero or less, or nbins or more.
indices
=
math_ops
.
floor
(
nbins_float
*
scaled_values
,
name
=
'indices'
)
# Clip edge cases (e.g. value = value_range[1]) or "outliers."
indices
=
math_ops
.
cast
(
clip_ops
.
clip_by_value
(
indices
,
0
,
nbins_float
-
1
),
dtypes
.
int32
)
return
array_ops
.
reshape
(
indices
,
shape
)
@
tf_export
(
'histogram_fixed_width'
)
def
histogram_fixed_width
(
values
,
value_range
,
nbins
=
100
,
dtype
=
dtypes
.
int32
,
name
=
None
):
"""Return histogram of values.
Given the tensor `values`, this operation returns a rank 1 histogram counting
the number of entries in `values` that fell into every bin. The bins are
equal width and determined by the arguments `value_range` and `nbins`.
Args:
values: Numeric `Tensor`.
value_range: Shape [2] `Tensor` of same `dtype` as `values`.
values <= value_range[0] will be mapped to hist[0],
values >= value_range[1] will be mapped to hist[-1].
nbins: Scalar `int32 Tensor`. Number of histogram bins.
dtype: dtype for returned histogram.
name: A name for this operation (defaults to 'histogram_fixed_width').
Returns:
A 1-D `Tensor` holding histogram of values.
Examples:
```python
# Bins will be: (-inf, 1), [1, 2), [2, 3), [3, 4), [4, inf)
nbins = 5
value_range = [0.0, 5.0]
new_values = [-1.0, 0.0, 1.5, 2.0, 5.0, 15]
with tf.get_default_session() as sess:
hist = tf.histogram_fixed_width(new_values, value_range, nbins=5)
variables.global_variables_initializer().run()
sess.run(hist) => [2, 1, 1, 0, 2]
```
"""
with
ops
.
name_scope
(
name
,
'histogram_fixed_width'
,
[
values
,
value_range
,
nbins
])
as
name
:
# pylint: disable=protected-access
return
gen_math_ops
.
_histogram_fixed_width
(
values
,
value_range
,
nbins
,
dtype
=
dtype
,
name
=
name
)
# pylint: enable=protected-access
Back
|
FazBrowse Home
|
New Git URL