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[Test] Add PEnv tests for devices #2843

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[Test] Add PEnv tests for devices #2843

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20 changes: 14 additions & 6 deletions test/_utils_internal.py
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Original file line number Diff line number Diff line change
Expand Up @@ -267,21 +267,23 @@ def _make_envs(
transformed_in,
transformed_out,
N,
device="cpu",
p_env_device=None,
env_device=None,
# device="cpu",
kwargs=None,
local_mp_ctx=mp_ctx,
):
torch.manual_seed(0)
if not transformed_in:

def create_env_fn():
return GymEnv(env_name, frame_skip=frame_skip, device=device)
return GymEnv(env_name, frame_skip=frame_skip, device=env_device)

else:
if env_name == PONG_VERSIONED():

def create_env_fn():
base_env = GymEnv(env_name, frame_skip=frame_skip, device=device)
base_env = GymEnv(env_name, frame_skip=frame_skip, device=env_device)
in_keys = list(base_env.observation_spec.keys(True, True))[:1]
return TransformedEnv(
base_env,
Expand All @@ -292,7 +294,7 @@ def create_env_fn():

def create_env_fn():

base_env = GymEnv(env_name, frame_skip=frame_skip, device=device)
base_env = GymEnv(env_name, frame_skip=frame_skip, device=env_device)
in_keys = list(base_env.observation_spec.keys(True, True))[:1]

return TransformedEnv(
Expand All @@ -305,9 +307,15 @@ def create_env_fn():

env0 = create_env_fn()
env_parallel = ParallelEnv(
N, create_env_fn, create_env_kwargs=kwargs, mp_start_method=local_mp_ctx
N,
create_env_fn,
create_env_kwargs=kwargs,
mp_start_method=local_mp_ctx,
device=p_env_device,
)
env_serial = SerialEnv(
N, create_env_fn, create_env_kwargs=kwargs, device=p_env_device
)
env_serial = SerialEnv(N, create_env_fn, create_env_kwargs=kwargs)

for key in env0.observation_spec.keys(True, True):
obs_key = key
Expand Down
33 changes: 28 additions & 5 deletions test/test_env.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1464,12 +1464,29 @@ def make_env():
"transformed_in,transformed_out", [[True, True], [False, False]]
) # 1226: effociency
@pytest.mark.parametrize("static_seed", [False, True])
@pytest.mark.parametrize("penv_device", ["cpu", None])
@pytest.mark.parametrize("env_device", ["cpu", None])
@pytest.mark.parametrize("bwad", [True, False])
def test_parallel_env_seed(
self, env_name, frame_skip, transformed_in, transformed_out, static_seed
self,
env_name,
frame_skip,
transformed_in,
transformed_out,
static_seed,
penv_device,
env_device,
bwad,
):
env_name = env_name()
env_parallel, env_serial, _, _ = _make_envs(
env_name, frame_skip, transformed_in, transformed_out, 5
env_name,
frame_skip,
transformed_in,
transformed_out,
5,
p_env_device=penv_device,
env_device=env_device,
)
try:
out_seed_serial = env_serial.set_seed(0, static_seed=static_seed)
Expand All @@ -1479,7 +1496,10 @@ def test_parallel_env_seed(
torch.manual_seed(0)

td_serial = env_serial.rollout(
max_steps=10, auto_reset=False, tensordict=td0_serial
max_steps=10,
auto_reset=False,
tensordict=td0_serial,
break_when_any_done=bwad,
).contiguous()
key = "pixels" if "pixels" in td_serial.keys() else "observation"
torch.testing.assert_close(
Expand All @@ -1494,7 +1514,10 @@ def test_parallel_env_seed(
torch.manual_seed(0)
assert out_seed_parallel == out_seed_serial
td_parallel = env_parallel.rollout(
max_steps=10, auto_reset=False, tensordict=td0_parallel
max_steps=10,
auto_reset=False,
tensordict=td0_parallel,
break_when_any_done=bwad,
).contiguous()
torch.testing.assert_close(
td_parallel[:, :-1].get(("next", key)), td_parallel[:, 1:].get(key)
Expand Down Expand Up @@ -1670,7 +1693,7 @@ def test_parallel_env_device(
frame_skip,
transformed_in=transformed_in,
transformed_out=transformed_out,
device=device,
env_device=device,
N=N,
local_mp_ctx="spawn",
)
Expand Down
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