mirror of
https://codeberg.org/guix/guix.git
synced 2025-10-02 02:15:12 +00:00
gnu: Remove python-keras.
* gnu/packages/machine-learning.scm (python-keras): Delete variable. Change-Id: I14f11e7086f3c01fd281b573f61e20adaa388c9a
This commit is contained in:
Andreas Enge
parent
2e37a46003
commit
cfdc48649a
1 changed files with 0 additions and 152 deletions
|
|
@ -4159,158 +4159,6 @@ module of the Keras deep learning library. It provides utilities for working
|
||||||
with image data, text data, and sequence data.")
|
with image data, text data, and sequence data.")
|
||||||
(license license:expat)))
|
(license license:expat)))
|
||||||
|
|
||||||
(define-public python-keras
|
|
||||||
(package
|
|
||||||
(name "python-keras")
|
|
||||||
(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")))
|
|
||||||
(replace 'check
|
|
||||||
(lambda* (#:key tests? #:allow-other-keys)
|
|
||||||
(when tests?
|
|
||||||
;; These tests attempt to download data files from the internet.
|
|
||||||
(delete-file "tests/integration_tests/test_datasets.py")
|
|
||||||
(delete-file "tests/integration_tests/imagenet_utils_test.py")
|
|
||||||
(invoke "python" "-m" "pytest" "tests"
|
|
||||||
"-p" "no:pep8"
|
|
||||||
;; FIXME: python-build-system lacks PARALLEL-TESTS?
|
|
||||||
"-n" (number->string (parallel-job-count))
|
|
||||||
;; This one uses the theano backend that we don't have.
|
|
||||||
"--ignore=tests/test_api.py"
|
|
||||||
"--ignore=tests/keras/backend/backend_test.py"
|
|
||||||
;; Our Tensorflow version does not have the coder ops library.
|
|
||||||
"--ignore=tests/keras/callbacks/callbacks_test.py"
|
|
||||||
;; ...nor do we have tensorboard
|
|
||||||
"--ignore=tests/keras/callbacks/tensorboard_test.py"
|
|
||||||
"-k"
|
|
||||||
(string-append
|
|
||||||
;; See https://github.com/keras-team/keras/pull/7033
|
|
||||||
"not test_TimeDistributed_learning_phase "
|
|
||||||
;; XXX fails because no closure is provided
|
|
||||||
"and not test_func_dump_and_load_backwards_compat "
|
|
||||||
;; XXX real bug? These are all tests that fail due to
|
|
||||||
;; shape mismatch, e.g. "got logits shape [12,3] and
|
|
||||||
;; labels shape [9]"
|
|
||||||
"and not test_model_with_crossentropy_losses_channels_first "
|
|
||||||
"and not test_masking_correctness_output_size_not_equal_to_first_state_size "
|
|
||||||
"and not test_convolutional_recurrent "
|
|
||||||
"and not test_axis "
|
|
||||||
|
|
||||||
;; XXX fails because of 3/15 values have unexpected differences.
|
|
||||||
"and not test_masking_correctness_output_not_equal_to_first_state "
|
|
||||||
;; XXX fails because of a difference of about 0.1
|
|
||||||
"and not test_sample_weighted "
|
|
||||||
;; XXX fails because of a difference of about 0.3
|
|
||||||
"and not test_scalar_weighted "
|
|
||||||
;; XXX fails because of a difference of about 0.2
|
|
||||||
"and not test_unweighted "
|
|
||||||
|
|
||||||
;; XXX I cannot reproduce this in an interactive
|
|
||||||
;; Python session, because l2_norm works just fine.
|
|
||||||
"and not test_weighted " ;TestCosineSimilarity
|
|
||||||
"and not test_config " ;TestCosineSimilarity
|
|
||||||
|
|
||||||
;; The following test fails only in the build
|
|
||||||
;; container; skip it.
|
|
||||||
"and not test_selu "
|
|
||||||
;; The following test was found flaky and removed in
|
|
||||||
;; recent versions.
|
|
||||||
"and not test_stateful_metrics"))))))))
|
|
||||||
(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)))
|
|
||||||
|
|
||||||
(define-public gloo
|
(define-public gloo
|
||||||
(let ((version "0.0.0") ; no proper version tag
|
(let ((version "0.0.0") ; no proper version tag
|
||||||
(commit "81925d1c674c34f0dc34dd9a0f2151c1b6f701eb")
|
(commit "81925d1c674c34f0dc34dd9a0f2151c1b6f701eb")
|
||||||
|
|
|
||||||
Loading…
Add table
Add a link
Reference in a new issue