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(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))
(define-public tensorflow-native
(package
(inherit tensorflow)
(name "tensorflow-native")
(arguments
(substitute-keyword-arguments (package-arguments tensorflow)
((#: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-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
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)))
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