53 lines
1.7 KiB
Python
53 lines
1.7 KiB
Python
# Copyright The PyTorch Lightning team.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
from abc import ABC
|
|
|
|
|
|
class TrainingStepVariations(ABC):
|
|
"""
|
|
Houses all variations of training steps
|
|
"""
|
|
|
|
def training_step(self, batch, batch_idx, optimizer_idx=None):
|
|
"""Lightning calls this inside the training loop"""
|
|
self.training_step_called = True
|
|
|
|
# forward pass
|
|
x, y = batch
|
|
x = x.view(x.size(0), -1)
|
|
y_hat = self(x)
|
|
|
|
# calculate loss
|
|
loss_train = self.loss(y, y_hat)
|
|
return {"loss": loss_train}
|
|
|
|
def training_step__multiple_dataloaders(self, batch, batch_idx, optimizer_idx=None):
|
|
"""Training step for multiple train loaders"""
|
|
|
|
assert isinstance(batch, dict)
|
|
assert len(batch) == 2
|
|
|
|
assert "a_b" in batch and "c_d_e" in batch, batch.keys()
|
|
assert isinstance(batch["a_b"], list) and len(batch["a_b"]) == 2
|
|
assert isinstance(batch["c_d_e"], list) and len(batch["c_d_e"]) == 3
|
|
|
|
# forward pass
|
|
x, y = batch["a_b"][0]
|
|
x = x.view(x.size(0), -1)
|
|
y_hat = self(x)
|
|
|
|
# calculate loss
|
|
loss_val = self.loss(y, y_hat)
|
|
return {"loss": loss_val}
|