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
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
|
(define-module (gn packages machine-learning)
#:use-module ((guix licenses) #:prefix license:)
#:use-module (guix packages)
#:use-module (guix utils)
#:use-module (gnu packages machine-learning)
#:use-module (guix download)
#:use-module (guix build-system python)
#:use-module (gnu packages python-xyz)
#:use-module (gnu packages graphviz)
#:use-module (gnu packages python-science)
#:use-module (gnu packages check)
#:use-module (gnu packages python-check)
#:use-module (gnu packages sphinx)
#:use-module (gnu packages python-web)
#:use-module (past packages python27))
(define-public tensorflow-native
(package
(inherit tensorflow-lite)
(name "tensorflow-native")
(arguments
(substitute-keyword-arguments (package-arguments tensorflow-lite)
((#:substitutable? _ #f) #f)
((#:configure-flags flags)
`(cons
"-Dtensorflow_OPTIMIZE_FOR_NATIVE_ARCH=ON"
(delete "-Dtensorflow_OPTIMIZE_FOR_NATIVE_ARCH=OFF"
,flags)))))))
(define-public tensowflow-native-instead-of-tensorflow
(package-input-rewriting/spec `(("tensorflow" . ,(const tensorflow-native)))))
(define-public python-keras-applications
(package
(name "python-keras-applications")
(version "1.0.8")
(source
(origin
(method url-fetch)
(uri (pypi-uri "Keras_Applications" version))
(sha256
(base32
"1rcz31ca4axa6kzhjx4lwqxbg4wvlljkj8qj9a7p9sfd5fhzjyam"))))
(build-system python-build-system)
;; The tests require Keras, but this package is needed to build Keras.
(arguments '(#:tests? #f))
(propagated-inputs
(list python-h5py python-numpy))
(native-inputs
(list python-pytest python-pytest-cov
python-pytest-xdist))
(home-page "https://github.com/keras-team/keras-applications")
(synopsis "Reference implementations of popular deep learning models")
(description
"This package provides reference implementations of popular deep learning
models for use with the Keras deep learning framework.")
(license license:expat)))
(define-public python-keras-preprocessing
(package
(name "python-keras-preprocessing")
(version "1.1.0")
(source
(origin
(method url-fetch)
(uri (pypi-uri "Keras_Preprocessing" version))
(sha256
(base32
"1r98nm4k1svsqjyaqkfk23i31bl1kcfcyp7094yyj3c43phfp3as"))))
(build-system python-build-system)
(propagated-inputs
(list python-numpy python-six))
(native-inputs
(list python-pandas
python-pillow
python-pytest
python-pytest-cov
python-pytest-xdist
tensorflow-lite))
(home-page "https://github.com/keras-team/keras-preprocessing/")
(synopsis "Data preprocessing and augmentation for deep learning models")
(description
"Keras Preprocessing is the data preprocessing and data augmentation
module of the Keras deep learning library. It provides utilities for working
with image data, text data, and sequence data.")
(license license:expat)))
(define-public python-keras-no-tests
(package
(name "python-keras-no-tests")
(version "2.3.1")
(source
(origin
(method url-fetch)
(uri (pypi-uri "Keras" version))
(sha256
(base32
"1k68xd8n2y9ldijggjc8nn4d6d1axw0p98gfb0fmm8h641vl679j"))
(modules '((guix build utils)))
(snippet
'(substitute* '("keras/callbacks/callbacks.py"
"keras/engine/training_utils.py"
"keras/engine/training.py"
"keras/engine/training_generator.py"
"keras/utils/generic_utils.py")
(("from collections import Iterable")
"from collections.abc import Iterable")
(("collections.Container")
"collections.abc.Container")
(("collections.Mapping")
"collections.abc.Mapping")
(("collections.Sequence")
"collections.abc.Sequence")))))
(build-system python-build-system)
(arguments
`(#:phases
(modify-phases %standard-phases
(add-after 'unpack 'tf-compatibility
(lambda _
(substitute* "keras/backend/tensorflow_backend.py"
(("^get_graph = .*")
"get_graph = tf.get_default_graph")
(("tf.compat.v1.nn.fused_batch_norm")
"tf.nn.fused_batch_norm")
;; categorical_crossentropy does not support axis
(("from_logits=from_logits, axis=axis")
"from_logits=from_logits")
;; dropout accepts a level number, not a named rate argument.
(("dropout\\(x, rate=level,")
"dropout(x, level,")
(("return x.shape.rank")
"return len(x.shape)"))))
(add-after 'unpack 'hdf5-compatibility
(lambda _
;; The truth value of an array with more than one element is ambiguous.
(substitute* "tests/keras/utils/io_utils_test.py"
((" *assert .* == \\[b'(asd|efg).*") ""))
(substitute* "tests/test_model_saving.py"
(("h5py.File\\('does not matter',")
"h5py.File('does not matter', 'w',"))
(substitute* "keras/utils/io_utils.py"
(("h5py.File\\('in-memory-h5py', driver='core', backing_store=False\\)")
"h5py.File('in-memory-h5py', 'w', driver='core', backing_store=False)")
(("h5file.fid.get_file_image")
"h5file.id.get_file_image"))
(substitute* "keras/engine/saving.py"
(("\\.decode\\('utf-?8'\\)") ""))))
(add-after 'unpack 'delete-unavailable-backends
(lambda _
(delete-file "keras/backend/theano_backend.py")
(delete-file "keras/backend/cntk_backend.py")))
(delete 'check))))
(propagated-inputs
(list python-h5py
python-keras-applications
python-keras-preprocessing
python-numpy
python-pydot
python-pyyaml
python-scipy
python-six
tensorflow-lite
graphviz))
(native-inputs
(list python-flaky
python-markdown
python-pandas
python-pytest
python-pytest-cov
python-pytest-timeout
python-pytest-xdist
python-pyux
python-sphinx
python-requests))
(home-page "https://keras.io/")
(synopsis "High-level deep learning framework")
(description "Keras is a high-level neural networks API, written in Python
and capable of running on top of TensorFlow. It was developed with a focus on
enabling fast experimentation. Use Keras if you need a deep learning library
that:
@itemize
@item Allows for easy and fast prototyping (through user friendliness,
modularity, and extensibility).
@item Supports both convolutional networks and recurrent networks, as well as
combinations of the two.
@item Runs seamlessly on CPU and GPU.
@end itemize\n")
(license license:expat)))
|
