{"head_branch": "master", "contributor": "keras-team", "sha_fail": "d043c7c56796b9f37e7daa74aeebace78206ae78", "sha_success": "879a1942e5aa364cf31e8d65cdf4e3720209b03f", "language": "Python", "repo_owner": "keras-team", "repo_name": "keras", "workflow_name": "Tests", "workflow_filename": "actions.yml", "workflow_path": ".github/workflows/actions.yml", "workflow": "name: Tests\n\non:\n  push:\n    branches: [ master ]\n  pull_request:\n  release:\n    types: [created]\n\npermissions:\n  contents: read\n\njobs:\n  build:\n    strategy:\n      fail-fast: false\n      matrix:\n        python-version: [3.9]\n        backend: [tensorflow, jax, torch, numpy]\n    name: Run tests\n    runs-on: ubuntu-latest\n    env:\n      PYTHON: ${{ matrix.python-version }}\n      KERAS_BACKEND: ${{ matrix.backend }}\n    steps:\n      - uses: actions/checkout@v3\n      - name: Check for changes in keras/applications\n        uses: dorny/paths-filter@v2\n        id: filter\n        with:\n          filters: |\n            applications:\n              - 'keras/applications/**'\n      - name: Set up Python\n        uses: actions/setup-python@v4\n        with:\n          python-version: ${{ matrix.python-version }}\n      - name: Get pip cache dir\n        id: pip-cache\n        run: |\n          python -m pip install --upgrade pip setuptools\n          echo \"dir=$(pip cache dir)\" >> $GITHUB_OUTPUT\n      - name: pip cache\n        uses: actions/cache@v3\n        with:\n          path: ${{ steps.pip-cache.outputs.dir }}\n          key: ${{ runner.os }}-pip-${{ hashFiles('setup.py') }}-${{ hashFiles('requirements.txt') }}\n      - name: Install dependencies\n        run: |\n          pip install -r requirements.txt --progress-bar off --upgrade\n          pip install -e \".\" --progress-bar off --upgrade\n      - name: Test applications with pytest\n        if: ${{ steps.filter.outputs.applications == 'true' }}\n        run: |\n          pytest keras/applications --cov=keras.applications\n          coverage xml --include='keras/applications/*' -o apps-coverage.xml\n      - name: Codecov keras.applications\n        if: ${{ steps.filter.outputs.applications == 'true' }}\n        uses: codecov/codecov-action@v3\n        with:\n          env_vars: PYTHON,KERAS_BACKEND\n          flags: keras.applications,keras.applications-${{ matrix.backend }}\n          files: apps-coverage.xml\n          fail_ci_if_error: true\n      - name: Test with pytest\n        run: |\n          pytest keras --ignore keras/applications --cov=keras\n          coverage xml --omit='keras/applications/*' -o core-coverage.xml\n      - name: Codecov keras\n        uses: codecov/codecov-action@v3\n        with:\n          env_vars: PYTHON,KERAS_BACKEND\n          flags: keras,keras-${{ matrix.backend }}\n          files: core-coverage.xml\n          fail_ci_if_error: true\n\n  format:\n    name: Check the code format\n    runs-on: ubuntu-latest\n    steps:\n      - uses: actions/checkout@v3\n      - name: Set up Python 3.9\n        uses: actions/setup-python@v4\n        with:\n          python-version: '3.9'\n      - name: Get pip cache dir\n        id: pip-cache\n        run: |\n          python -m pip install --upgrade pip setuptools\n          echo \"dir=$(pip cache dir)\" >> $GITHUB_OUTPUT\n      - name: pip cache\n        uses: actions/cache@v3\n        with:\n          path: ${{ steps.pip-cache.outputs.dir }}\n          key: ${{ runner.os }}-pip-${{ hashFiles('setup.py') }}-${{ hashFiles('requirements.txt') }}\n      - name: Install dependencies\n        run: |\n          pip install -r requirements.txt --progress-bar off --upgrade\n          pip install -e \".\" --progress-bar off --upgrade\n      - name: Lint\n        run: bash shell/lint.sh\n", "logs": "keras/testing/test_utils.py                                     11      1      4      1    87%\nkeras/trainers/__init__.py                                       0      0      0      0   100%\nkeras/trainers/compile_utils.py                                356     54    281     39    81%\nkeras/trainers/data_adapters/__init__.py                         0      0      0      0   100%\nkeras/trainers/data_adapters/array_data_adapter.py             141     19     58     11    84%\nkeras/trainers/data_adapters/data_adapter.py                    13      0      0      0   100%\nkeras/trainers/data_adapters/data_adapter_utils.py              92     21     61     13    73%\nkeras/trainers/data_adapters/generator_data_adapter.py          41      3      8      3    88%\nkeras/trainers/data_adapters/py_dataset_adapter.py             252     49     80     17    76%\nkeras/trainers/data_adapters/tf_dataset_adapter.py              47      0     20      0   100%\nkeras/trainers/data_adapters/torch_data_adapter.py              46      3     10      3    89%\nkeras/trainers/epoch_iterator.py                               105     13     72     13    83%\nkeras/trainers/trainer.py                                      193     23     89     14    84%\nkeras/utils/__init__.py                                         24      0      0      0   100%\nkeras/utils/argument_validation.py                              43     10     26      5    78%\nkeras/utils/audio_dataset_utils.py                              87     16     52      4    83%\nkeras/utils/backend_utils.py                                    37      6     12      3    78%\nkeras/utils/code_stats.py                                       40      3     34      2    91%\nkeras/utils/dataset_utils.py                                   286     61    202     45    74%\nkeras/utils/dtype_utils.py                                      25      0     16      0   100%\nkeras/utils/file_utils.py                                      221     52    129     23    71%\nkeras/utils/image_dataset_utils.py                              91      6     48      6    90%\nkeras/utils/image_utils.py                                     149     73     80     13    45%\nkeras/utils/io_utils.py                                         34      0     10      0   100%\nkeras/utils/jax_utils.py                                         7      3      4      1    45%\nkeras/utils/model_visualization.py                             193    169     90      0     8%\nkeras/utils/module_utils.py                                     32      1      6      1    95%\nkeras/utils/naming.py                                           34      1      8      1    95%\nkeras/utils/nest.py                                             42      9     18      3    77%\nkeras/utils/numerical_utils.py                                  58      4     26      5    89%\nkeras/utils/progbar.py                                         132     25     60      9    78%\nkeras/utils/python_utils.py                                     62      5     28      4    90%\nkeras/utils/rng_utils.py                                        16      1      6      3    82%\nkeras/utils/sequence_utils.py                                   41      8     24      6    78%\nkeras/utils/shape_utils.py                                      15      1     19      1    94%\nkeras/utils/summary_utils.py                                   212     39    116     18    77%\nkeras/utils/text_dataset_utils.py                               68      4     40      5    90%\nkeras/utils/tf_utils.py                                         68     32     38      6    53%\nkeras/utils/timeseries_dataset_utils.py                         62      4     48      5    92%\nkeras/utils/torch_utils.py                                      23      2      6      1    90%\nkeras/utils/traceback_utils.py                                 107     79     48      1    19%\nkeras/utils/tracking.py                                         97     10     54      5    82%\nkeras/version.py                                                 1      0      0      0   100%\n----------------------------------------------------------------------------------------------\nTOTAL                                                        34213  12330  13281   1443    62%\n\n=========================== short test summary info ============================\nFAILED keras/callbacks/model_checkpoint_test.py::ModelCheckpointTest::test_model_checkpoint_loading - ValueError: Arguments `target` and `output` must have the same shape. Received: target.shape=torch.Size([5, 1]), output.shape=torch.Size([5, 2])\n====== 1 failed, 2900 passed, 306 skipped, 1 xpassed in 69.52s (0:01:09) =======\n##[error]Process completed with exit code 1.\n", "diff": "diff --git a/keras/callbacks/model_checkpoint_test.py b/keras/callbacks/model_checkpoint_test.py\nindex bea73de7b8..fbc669cebc 100644\n--- a/keras/callbacks/model_checkpoint_test.py\n+++ b/keras/callbacks/model_checkpoint_test.py\n@@ -18,9 +18,9 @@ try:\n except ImportError:\n     h5py = None\n \n-TRAIN_SAMPLES = 10\n-TEST_SAMPLES = 10\n-NUM_CLASSES = 2\n+TRAIN_SAMPLES = 30\n+TEST_SAMPLES = 30\n+NUM_CLASSES = 3\n INPUT_DIM = 3\n NUM_HIDDEN = 5\n BATCH_SIZE = 5\n@@ -203,7 +203,7 @@ class ModelCheckpointTest(testing.TestCase):\n         model.fit(\n             x_train,\n             y_train,\n-            batch_size=2,  # 5 batches / epoch, so should backup every 3 epochs\n+            batch_size=6,  # 5 batches / epoch, so should backup every 3 epochs\n             validation_data=(x_test, y_test),\n             callbacks=cbks,\n             epochs=10,\n@@ -236,7 +236,7 @@ class ModelCheckpointTest(testing.TestCase):\n         model.fit(\n             x_train,\n             y_train,\n-            batch_size=2,\n+            batch_size=6,\n             validation_data=(x_test, y_test),\n             callbacks=cbks,\n             epochs=10,\n@@ -288,7 +288,7 @@ class ModelCheckpointTest(testing.TestCase):\n         model.fit(\n             x_train,\n             y_train,\n-            batch_size=5,\n+            batch_size=15,\n             validation_data=(x_test, y_test),\n             callbacks=cbks,\n             epochs=5,\n@@ -318,7 +318,7 @@ class ModelCheckpointTest(testing.TestCase):\n         model.fit(\n             x_train,\n             y_train,\n-            batch_size=5,\n+            batch_size=15,\n             validation_data=(x_test, y_test),\n             callbacks=cbks,\n             epochs=5,\n"}