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OpenDAS
fairscale
Commits
e65833a0
Unverified
Commit
e65833a0
authored
Apr 25, 2022
by
Min Xu
Committed by
GitHub
Apr 25, 2022
Browse files
skip failed ssd offload tests for nightly (#977)
Co-authored-by:
Min Xu
<
min.xu.public@gmail.com
>
parent
8baa03b0
Changes
3
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3 changed files
with
24 additions
and
0 deletions
+24
-0
tests/experimental/nn/test_ssd_offload.py
tests/experimental/nn/test_ssd_offload.py
+6
-0
tests/nn/checkpoint/test_checkpoint_activations.py
tests/nn/checkpoint/test_checkpoint_activations.py
+3
-0
tests/nn/data_parallel/test_fsdp_offload.py
tests/nn/data_parallel/test_fsdp_offload.py
+15
-0
No files found.
tests/experimental/nn/test_ssd_offload.py
View file @
e65833a0
...
...
@@ -78,6 +78,9 @@ def test_ssd_handle_dispatch_bwd():
def
test_ssd_handle_train_simple
():
if
torch_version
()
>=
(
1
,
12
,
0
):
pytest
.
skip
(
"to be fixed"
)
_init
()
with
tempfile
.
NamedTemporaryFile
()
as
f
:
...
...
@@ -166,6 +169,9 @@ def test_torch_save_load_ssd_flat_param_on_mem():
def
test_ssd_param_train_simple
():
if
torch_version
()
>=
(
1
,
12
,
0
):
pytest
.
skip
(
"to be fixed"
)
_init
()
with
tempfile
.
NamedTemporaryFile
()
as
f
:
orig_tensor
=
torch
.
randn
((
4
,
4
))
...
...
tests/nn/checkpoint/test_checkpoint_activations.py
View file @
e65833a0
...
...
@@ -168,6 +168,9 @@ class CpuOffloadModel(nn.Module):
@
skip_if_no_cuda
def
test_offload_memory
():
if
torch_version
()
>=
(
1
,
12
,
0
):
pytest
.
skip
(
"to be fixed"
)
device
=
"cuda"
input
=
torch
.
rand
(
60
,
24
,
4
).
requires_grad_
(
True
)
...
...
tests/nn/data_parallel/test_fsdp_offload.py
View file @
e65833a0
...
...
@@ -137,6 +137,9 @@ def rename_test(testcase_func, param_num, param):
class
TestSsdMemory
(
DistributedTest
):
def
test_memory_benchmark
(
self
):
if
torch_version
()
>=
(
1
,
12
,
0
):
pytest
.
skip
(
"to be fixed"
)
test_fn
=
functools
.
partial
(
self
.
_test_memory_benchmark
,
config
=
{})
spawn_and_init
(
test_fn
)
...
...
@@ -215,6 +218,9 @@ class TimeKeeper:
class
TestModuleProperties
(
DistributedTest
):
@
parameterized
.
expand
(
CONFIG
,
name_func
=
rename_test
)
def
test_named_parameters
(
self
,
config
):
if
torch_version
()
>=
(
1
,
12
,
0
):
pytest
.
skip
(
"to be fixed"
)
test_fn
=
functools
.
partial
(
self
.
_test_named_params
,
config
=
config
)
spawn_and_init
(
test_fn
)
...
...
@@ -258,15 +264,24 @@ class TestModuleProperties(DistributedTest):
class
TestSsdLoading
(
DistributedTest
):
@
parameterized
.
expand
(
CONFIG_OPTIONS
,
name_func
=
rename_test
)
def
test_ssd_offloading_eval
(
self
,
config
):
if
torch_version
()
>=
(
1
,
12
,
0
):
pytest
.
skip
(
"to be fixed"
)
test_fn
=
functools
.
partial
(
self
.
_test_ssd_offload_eval
,
config
=
config
)
spawn_and_init
(
test_fn
)
@
parameterized
.
expand
(
CONFIG
,
name_func
=
rename_test
)
def
test_transformer_parameterized
(
self
,
config
):
if
torch_version
()
>=
(
1
,
12
,
0
):
pytest
.
skip
(
"to be fixed"
)
spawn_and_init
(
functools
.
partial
(
self
.
_test_identical_outputs_eval
,
TransformerWithSharedParams
,
config
))
@
parameterized
.
expand
(
CONFIG_OPTIONS
,
name_func
=
rename_test
)
def
test_ssd_offloading_train_flatten_params_wrapper
(
self
,
config
):
if
torch_version
()
>=
(
1
,
12
,
0
):
pytest
.
skip
(
"to be fixed"
)
test_fn
=
functools
.
partial
(
self
.
_test_ssd_offloading_train_flatten_params_wrapper
,
config
=
config
)
spawn_and_init
(
test_fn
)
...
...
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