diff options
| -rw-r--r-- | gnu/packages/machine-learning.scm | 33 |
1 files changed, 17 insertions, 16 deletions
diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm index 11c9b0207e..85460aebfb 100644 --- a/gnu/packages/machine-learning.scm +++ b/gnu/packages/machine-learning.scm @@ -2521,24 +2521,26 @@ with image data, text data, and sequence data.") (delete-file "keras/backend/theano_backend.py") (delete-file "keras/backend/cntk_backend.py") (delete-file "tests/keras/backend/backend_test.py") - ;; FIXME: This doesn't work because Tensorflow is missing the ;; coder ops library. - (delete-file "tests/keras/test_callbacks.py") - #t)) + (delete-file "tests/keras/test_callbacks.py"))) (replace 'check - (lambda _ - ;; 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") - ;; Backport https://github.com/keras-team/keras/pull/12479. - (substitute* "tests/keras/engine/test_topology.py" - (("np.ones\\(\\(3, 2\\)\\)") - "1.")) - (invoke "python" "-m" "pytest" - ;; The following test fail only in the build container; - ;; skip it. - "-k" "not test_selu")))))) + (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") + ;; Backport https://github.com/keras-team/keras/pull/12479. + (substitute* "tests/keras/engine/test_topology.py" + (("np.ones\\(\\(3, 2\\)\\)") + "1.")) + (invoke "python" "-m" "pytest" "tests" + "-p" "no:pep8" + ;; FIXME: python-build-system lacks PARALLEL-TESTS? + "-n" (number->string (parallel-job-count)) + ;; The following test fail only in the build container; + ;; skip it. + "-k" "not test_selu"))))))) (propagated-inputs `(("python-h5py" ,python-h5py) ("python-keras-applications" ,python-keras-applications) @@ -2565,7 +2567,6 @@ with image data, text data, and sequence data.") 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). |