Closed buus2 closed 6 years ago
For
CONFIG = {'input_size':28, 'classes':10} def solution(input_size, classes): input_shape = (input_size, input_size, 1) images = Input(shape=input_shape) x = Conv2D(16, 3, padding='same', activation='relu')(images) x = Conv2D(16, 3, padding='same', activation='relu')(x) x = MaxPool2D()(x) x = Conv2D(16, 3, padding='same', activation='relu')(x) x = Conv2D(16, 3, padding='same', activation='relu')(x) x = MaxPool2D()(x) x = Flatten()(x) x = Dense(256, activation='relu')(x) x = Dropout(0.5)(x) x = Dense(256, activation='relu')(x) x = Dropout(0.5)(x) predictions = Dense(classes, activation='softmax', name='output')(x) model = Model(inputs=images, outputs=predictions) return model
I obtain
(minerva_venv) patryk@patryk-miziula:~/Documents/edukacyjne/Minerva/0401/minerva$ python run_minerva.py -- submit --problem fashion_mnist --task_nr 1 --filepath resources/fashion_mnist/problems/task1.ipynb 2018-01-11 18-34-57 minerva >>> starting experiment... Using TensorFlow backend. neptune: Executing in Offline Mode. 2018-01-11 18-34-58 minerva >>> Saving graph to output/path_to_your_solution/class_predictions_graph.json [NbConvertApp] Converting notebook resources/fashion_mnist/problems/task1.ipynb to python [NbConvertApp] Writing 2031 bytes to resources/fashion_mnist/problems/task1.py Traceback (most recent call last): File "run_minerva.py", line 46, in <module> action() File "/home/patryk/Documents/edukacyjne/Minerva/0401/minerva_venv/lib/python3.5/site-packages/click/core.py", line 722, in __call__ return self.main(*args, **kwargs) File "/home/patryk/Documents/edukacyjne/Minerva/0401/minerva_venv/lib/python3.5/site-packages/click/core.py", line 697, in main rv = self.invoke(ctx) File "/home/patryk/Documents/edukacyjne/Minerva/0401/minerva_venv/lib/python3.5/site-packages/click/core.py", line 1066, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "/home/patryk/Documents/edukacyjne/Minerva/0401/minerva_venv/lib/python3.5/site-packages/click/core.py", line 895, in invoke return ctx.invoke(self.callback, **ctx.params) File "/home/patryk/Documents/edukacyjne/Minerva/0401/minerva_venv/lib/python3.5/site-packages/click/core.py", line 535, in invoke return callback(*args, **kwargs) File "run_minerva.py", line 41, in submit pm.submit_task(sub_problem, task_nr, filepath, dev_mode, cloud_mode) File "/home/patryk/Documents/edukacyjne/Minerva/0401/minerva/minerva/fashion_mnist/problem_manager.py", line 25, in submit_task task_handler = registered_tasks[task_nr](trainer) KeyError: 1 Sentry is attempting to send 1 pending error messages Waiting up to 10 seconds Press Ctrl-C to quit
Analogous error for task 2.
@buus2 great thanks! I will take a look.
@buus2 It is fixed and pushed to master.
For
I obtain