563acaf48cf475f4b125fd32374c6bb566049551,src/garage/torch/algos/vpg.py,VPG,process_samples,#VPG#Any#Any#,268
Before Change
path["rewards"], self.discount)
average_discounted_return = (np.mean(
[path["returns"][0] for path in paths]))
undiscounted_returns = [sum(path["rewards"]) for path in paths]
average_return = np.mean(undiscounted_returns)
self._episode_reward_mean.extend(undiscounted_returns)
After Change
total_length=self.max_path_length,
axis=0) for path in paths
])
actions = torch.stack([
loss_function_utils.pad_to_last(path["actions"],
total_length=self.max_path_length,
axis=0) for path in paths
])
rewards = torch.stack([
loss_function_utils.pad_to_last(path["rewards"],
total_length=self.max_path_length)
for path in paths
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: rlworkgroup/garage
Commit Name: 563acaf48cf475f4b125fd32374c6bb566049551
Time: 2019-11-06
Author: 43084978+yonghyuc@users.noreply.github.com
File Name: src/garage/torch/algos/vpg.py
Class Name: VPG
Method Name: process_samples
Project Name: uber/pyro
Commit Name: 91f31ae7eb26298d13f86ec146c7a4ced7af744d
Time: 2020-04-21
Author: fritzo@uber.com
File Name: examples/sir_hmc.py
Class Name:
Method Name: generate_data
Project Name: analysiscenter/batchflow
Commit Name: 260fe0d000a12e869206d8e36300a446a9891b35
Time: 2019-11-17
Author: nikita_007_94@mail.ru
File Name: batchflow/models/eager_torch/layers/core.py
Class Name: Dropout
Method Name: forward