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gnu: Remove python-keras.
* gnu/packages/machine-learning.scm (python-keras): Delete variable. Change-Id: I14f11e7086f3c01fd281b573f61e20adaa388c9a
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@ -4159,158 +4159,6 @@ module of the Keras deep learning library. It provides utilities for working
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with image data, text data, and sequence data.")
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(license license:expat)))
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(define-public python-keras
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(package
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(name "python-keras")
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(version "2.3.1")
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(source
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(origin
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(method url-fetch)
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(uri (pypi-uri "Keras" version))
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(sha256
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(base32
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"1k68xd8n2y9ldijggjc8nn4d6d1axw0p98gfb0fmm8h641vl679j"))
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(modules '((guix build utils)))
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(snippet
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'(substitute* '("keras/callbacks/callbacks.py"
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"keras/engine/training_utils.py"
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"keras/engine/training.py"
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"keras/engine/training_generator.py"
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"keras/utils/generic_utils.py")
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(("from collections import Iterable")
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"from collections.abc import Iterable")
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(("collections.Container")
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"collections.abc.Container")
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(("collections.Mapping")
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"collections.abc.Mapping")
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(("collections.Sequence")
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"collections.abc.Sequence")))))
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(build-system python-build-system)
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(arguments
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`(#:phases
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(modify-phases %standard-phases
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(add-after 'unpack 'tf-compatibility
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(lambda _
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(substitute* "keras/backend/tensorflow_backend.py"
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(("^get_graph = .*")
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"get_graph = tf.get_default_graph")
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(("tf.compat.v1.nn.fused_batch_norm")
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"tf.nn.fused_batch_norm")
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;; categorical_crossentropy does not support axis
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(("from_logits=from_logits, axis=axis")
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"from_logits=from_logits")
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;; dropout accepts a level number, not a named rate argument.
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(("dropout\\(x, rate=level,")
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"dropout(x, level,")
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(("return x.shape.rank")
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"return len(x.shape)"))))
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(add-after 'unpack 'hdf5-compatibility
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(lambda _
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;; The truth value of an array with more than one element is ambiguous.
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(substitute* "tests/keras/utils/io_utils_test.py"
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((" *assert .* == \\[b'(asd|efg).*") ""))
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(substitute* "tests/test_model_saving.py"
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(("h5py.File\\('does not matter',")
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"h5py.File('does not matter', 'w',"))
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(substitute* "keras/utils/io_utils.py"
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(("h5py.File\\('in-memory-h5py', driver='core', backing_store=False\\)")
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"h5py.File('in-memory-h5py', 'w', driver='core', backing_store=False)")
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(("h5file.fid.get_file_image")
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"h5file.id.get_file_image"))
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(substitute* "keras/engine/saving.py"
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(("\\.decode\\('utf-?8'\\)") ""))))
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(add-after 'unpack 'delete-unavailable-backends
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(lambda _
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(delete-file "keras/backend/theano_backend.py")
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(delete-file "keras/backend/cntk_backend.py")))
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(replace 'check
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(lambda* (#:key tests? #:allow-other-keys)
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(when tests?
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;; These tests attempt to download data files from the internet.
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(delete-file "tests/integration_tests/test_datasets.py")
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(delete-file "tests/integration_tests/imagenet_utils_test.py")
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(invoke "python" "-m" "pytest" "tests"
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"-p" "no:pep8"
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;; FIXME: python-build-system lacks PARALLEL-TESTS?
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"-n" (number->string (parallel-job-count))
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;; This one uses the theano backend that we don't have.
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"--ignore=tests/test_api.py"
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"--ignore=tests/keras/backend/backend_test.py"
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;; Our Tensorflow version does not have the coder ops library.
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"--ignore=tests/keras/callbacks/callbacks_test.py"
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;; ...nor do we have tensorboard
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"--ignore=tests/keras/callbacks/tensorboard_test.py"
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"-k"
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(string-append
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;; See https://github.com/keras-team/keras/pull/7033
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"not test_TimeDistributed_learning_phase "
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;; XXX fails because no closure is provided
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"and not test_func_dump_and_load_backwards_compat "
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;; XXX real bug? These are all tests that fail due to
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;; shape mismatch, e.g. "got logits shape [12,3] and
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;; labels shape [9]"
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"and not test_model_with_crossentropy_losses_channels_first "
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"and not test_masking_correctness_output_size_not_equal_to_first_state_size "
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"and not test_convolutional_recurrent "
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"and not test_axis "
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;; XXX fails because of 3/15 values have unexpected differences.
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"and not test_masking_correctness_output_not_equal_to_first_state "
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;; XXX fails because of a difference of about 0.1
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"and not test_sample_weighted "
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;; XXX fails because of a difference of about 0.3
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"and not test_scalar_weighted "
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;; XXX fails because of a difference of about 0.2
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"and not test_unweighted "
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;; XXX I cannot reproduce this in an interactive
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;; Python session, because l2_norm works just fine.
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"and not test_weighted " ;TestCosineSimilarity
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"and not test_config " ;TestCosineSimilarity
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;; The following test fails only in the build
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;; container; skip it.
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"and not test_selu "
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;; The following test was found flaky and removed in
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;; recent versions.
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"and not test_stateful_metrics"))))))))
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(propagated-inputs
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(list python-h5py
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python-keras-applications
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python-keras-preprocessing
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python-numpy
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python-pydot
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python-pyyaml
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python-scipy
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python-six
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tensorflow
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graphviz))
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(native-inputs
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(list python-flaky
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python-markdown
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python-pandas
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python-pytest
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python-pytest-cov
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python-pytest-timeout
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python-pytest-xdist
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python-pyux
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python-sphinx
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python-requests))
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(home-page "https://keras.io/")
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(synopsis "High-level deep learning framework")
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(description "Keras is a high-level neural networks API, written in Python
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and capable of running on top of TensorFlow. It was developed with a focus on
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enabling fast experimentation. Use Keras if you need a deep learning library
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that:
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@itemize
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@item Allows for easy and fast prototyping (through user friendliness,
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modularity, and extensibility).
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@item Supports both convolutional networks and recurrent networks, as well as
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combinations of the two.
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@item Runs seamlessly on CPU and GPU.
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@end itemize\n")
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(license license:expat)))
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(define-public gloo
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(let ((version "0.0.0") ; no proper version tag
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(commit "81925d1c674c34f0dc34dd9a0f2151c1b6f701eb")
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