From bf9f13a0b83ecf4364cb83cf61aba897bcdd4e67 Mon Sep 17 00:00:00 2001 From: taniya-das Date: Thu, 14 Nov 2024 20:48:50 +0100 Subject: [PATCH] bugfix deserializer,test_compare_onnx_model --- ...age_classification_Indoorscenes_dataset.py | 26 +++---- model.onnx | Bin 0 -> 4967571 bytes openml_tensorflow/extension.py | 4 +- tests/test_compare_onnx_models.py | 35 +++++++-- tests/test_keras_extension.py | 71 ------------------ 5 files changed, 42 insertions(+), 94 deletions(-) create mode 100644 model.onnx delete mode 100644 tests/test_keras_extension.py diff --git a/docs/Examples/tf_image_classification_Indoorscenes_dataset.py b/docs/Examples/tf_image_classification_Indoorscenes_dataset.py index 25841e5..db63944 100644 --- a/docs/Examples/tf_image_classification_Indoorscenes_dataset.py +++ b/docs/Examples/tf_image_classification_Indoorscenes_dataset.py @@ -41,15 +41,23 @@ ############################################################################ -openml_tensorflow.config.epoch = 10 # small epoch for test runs +openml_tensorflow.config.epoch = 1 # small epoch for test runs IMG_SIZE = (128, 128) IMG_SHAPE = IMG_SIZE + (3,) base_learning_rate = 0.0001 -# dataset = openml.datasets.get_dataset(45936, download_all_files=True, download_data=True) - # Toy example +datagen = ImageDataGenerator( + rotation_range=25, + width_shift_range=0.01, + height_shift_range=0.01, + brightness_range=(0.9, 1.1), + zoom_range=0.1, + horizontal_flip=True, + vertical_flip=True, +) + openml_tensorflow.config.datagen = datagen openml_tensorflow.config.dir = openml.config.get_cache_directory()+'/datasets/45936/Images/' openml_tensorflow.config.x_col = "Filename" @@ -69,16 +77,6 @@ ############################################################################ # Large CNN -datagen = ImageDataGenerator( - rotation_range=25, - width_shift_range=0.01, - height_shift_range=0.01, - brightness_range=(0.9, 1.1), - zoom_range=0.1, - horizontal_flip=True, - vertical_flip=True, -) - IMG_SIZE = 128 NUM_CLASSES = 67 @@ -144,7 +142,7 @@ # Careful to not call this function when another run_model_on_task is called in between, # as during publish later, only the last trained model (from last run_model_on_task call) is uploaded. run = openml_tensorflow.add_onnx_to_run(run) -# breakpoint() + run.publish() print('URL for run: %s/run/%d?api_key=%s' % (openml.config.server, run.run_id, openml.config.apikey)) diff --git a/model.onnx b/model.onnx new file mode 100644 index 0000000000000000000000000000000000000000..f74aa10fab0d9188ac5d026ecdd3b1b67624f1a9 GIT binary patch literal 4967571 zcmc$_c|2EJ_rPzSXOXE{B`FalpS_NuNfS+)ODd!kX;K=5iWEX-G8W2EB7Dv|D2il? z$V`SNl{6aC?{n{co__bab#L|jp4adDU)gJ|z4kf#z1P`mt&fnPjNm?NZTsE3os`72 zrfSWYsx?|mcdMS(H2vn_R34GtB4S(ZcOTH+W?{SAVgEjv(R;1-?6=yz&(_jT^N#^d zV_VC;M%%VoSZL`@)1Rg^@}DKf3a@mu+`ZSqey^3fvb5^4+B_gx%~G>#`66( zF5<&0^0%rYntxK=V!3bYc8lHij=L=FY!Cmw&Tk%}h}JJDSZHzHkl_zh=I!5Wwaxgq z$xS(PubTetq{jc>Ed1t$%#R%Zs~4Q-`lE;QSCz3cUsv(<336V%pq0a3TRZ#Ra`rNA 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