Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Implements set_env_attr and get_env_attr for vector environments #478

Merged
merged 5 commits into from
Nov 2, 2021
Merged

Implements set_env_attr and get_env_attr for vector environments #478

Changes from 1 commit
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
f7ecb64
Implements set_env_attr and get_env_attr for vector environments (res…
Markus28 Nov 2, 2021
d7e4add
Fixed get_env_attr in _AttrWrapper, set_env_attr in RayEnvWorker
Markus28 Nov 2, 2021
4f82b40
fix ci
Trinkle23897 Nov 2, 2021
cd6a1ad
format
Trinkle23897 Nov 2, 2021
af12a70
polish comment
Trinkle23897 Nov 2, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
22 changes: 11 additions & 11 deletions test/throughput/test_batch_profile.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@

@pytest.fixture(scope="module")
def data():
print("Initialising data...")
print("Initializing data...")
np.random.seed(0)
batch_set = [
Batch(
Expand All @@ -19,16 +19,16 @@ def data():
'b1': (3.14, 3.14),
'b2': np.arange(1e3)
},
c=i
c=i,
) for i in np.arange(int(1e4))
]
batch0 = Batch(
a=np.ones((3, 4), dtype=np.float64),
b=Batch(
c=np.ones((1, ), dtype=np.float64),
d=torch.ones((3, 3, 3), dtype=torch.float32),
e=list(range(3))
)
e=list(range(3)),
),
)
batchs1 = [copy.deepcopy(batch0) for _ in np.arange(1e4)]
batchs2 = [copy.deepcopy(batch0) for _ in np.arange(1e4)]
Expand All @@ -39,25 +39,25 @@ def data():
indexs = np.random.choice(batch_len, size=batch_len // 10, replace=False)
slice_dict = {
'obs': [np.arange(20) for _ in np.arange(batch_len // 10)],
'reward': np.arange(batch_len // 10)
'reward': np.arange(batch_len // 10),
}
dict_set = [
{
'obs': np.arange(20),
'info': "this is info",
'reward': 0
'reward': 0,
} for _ in np.arange(1e2)
]
batch4 = Batch(
a=np.ones((10000, 4), dtype=np.float64),
b=Batch(
c=np.ones((1, ), dtype=np.float64),
d=torch.ones((1000, 1000), dtype=torch.float32),
e=np.arange(1000)
)
e=np.arange(1000),
),
)

print("Initialised")
print("Initialized")
return {
'batch_set': batch_set,
'batch0': batch0,
Expand All @@ -67,7 +67,7 @@ def data():
'indexs': indexs,
'dict_set': dict_set,
'slice_dict': slice_dict,
'batch4': batch4
'batch4': batch4,
}


Expand Down Expand Up @@ -106,7 +106,7 @@ def test_set_attr(data):

def test_numpy_torch_convert(data):
"""Test conversion between numpy and torch."""
for _ in np.arange(1e5):
for _ in np.arange(1e4): # not sure what's wrong in torch==1.10.0
Copy link
Collaborator

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

here

data['batch4'].to_torch()
data['batch4'].to_numpy()

Expand Down