How to use the poutyne.framework.callbacks.policies.cosinespace function in Poutyne
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GRAAL-Research / poutyne / tests / framework / callbacks / test_policies.py View on Github 
def test_cosinespace_increasing(self):
self.assert_space(cosinespace(0, 1, 2), [0, 1])
self.assert_space(cosinespace(0, 1, 3), [0, .5, 1])def test_cosinespace_const(self):
self.assert_space(cosinespace(0, 0, 2), [0, 0])def test_cosinespace_decreasing(self):
self.assert_space(cosinespace(1, 0, 2), [1, 0])
self.assert_space(cosinespace(1, 0, 3), [1, .5, 0])def test_cosinespace_with_many_values(self):
self.assert_space(cosinespace(0, 1, 5), [0, .1464, .5, .8535, 1])
self.assert_space(cosinespace(1, 0, 5), [1, .8535, .5, .1464, 0])def test_cosinespace_with_many_values(self):
self.assert_space(cosinespace(0, 1, 5), [0, .1464, .5, .8535, 1])
self.assert_space(cosinespace(1, 0, 5), [1, .8535, .5, .1464, 0])def test_cosinespace_increasing(self):
self.assert_space(cosinespace(0, 1, 2), [0, 1])
self.assert_space(cosinespace(0, 1, 3), [0, .5, 1])def test_cosinespace_decreasing(self):
self.assert_space(cosinespace(1, 0, 2), [1, 0])
self.assert_space(cosinespace(1, 0, 3), [1, .5, 0])Poutyne
A simplified framework and utilities for PyTorch.
Package Health Score
76 / 100Popular Poutyne functions
- poutyne.framework.callbacks.BestModelRestore
- poutyne.framework.callbacks.Callback
- poutyne.framework.callbacks.callbacks.Callback
- poutyne.framework.callbacks.CSVLogger
- poutyne.framework.callbacks.DelayCallback
- poutyne.framework.callbacks.EarlyStopping
- poutyne.framework.callbacks.LRSchedulerCheckpoint
- poutyne.framework.callbacks.ModelCheckpoint
- poutyne.framework.callbacks.policies.cosinespace
- poutyne.framework.callbacks.policies.linspace
- poutyne.framework.callbacks.policies.OptimizerPolicy
- poutyne.framework.callbacks.policies.Phase
- poutyne.framework.callbacks.policies.sgdr_phases
- poutyne.framework.experiment.Experiment
- poutyne.framework.Model
- poutyne.numpy_to_torch
- poutyne.torch_apply
- poutyne.torch_to_numpy
- poutyne.utils._concat
- poutyne.utils.TensorDataset