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[Tests] fix: device map tests for models (#7825)

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* fix: device module tests

* remove patch file

* Empty-Commit
This commit is contained in:
Sayak Paul
2024-05-01 18:45:47 +05:30
committed by GitHub
parent c1edb03c37
commit 8909ab4b19
1 changed files with 15 additions and 3 deletions
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18
tests/models/test_modeling_common.py
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@@ -691,6 +691,9 @@ class ModelTesterMixin:
def test_cpu_offload(self):
config, inputs_dict = self.prepare_init_args_and_inputs_for_common()
model = self.model_class(**config).eval()
if model._no_split_modules is None:
return
model = model.to(torch_device)
torch.manual_seed(0)
@@ -718,6 +721,9 @@ class ModelTesterMixin:
def test_disk_offload_without_safetensors(self):
config, inputs_dict = self.prepare_init_args_and_inputs_for_common()
model = self.model_class(**config).eval()
if model._no_split_modules is None:
return
model = model.to(torch_device)
torch.manual_seed(0)
@@ -728,12 +734,12 @@ class ModelTesterMixin:
model.cpu().save_pretrained(tmp_dir, safe_serialization=False)
with self.assertRaises(ValueError):
max_size = int(self.model_split_percents[1] * model_size)
max_size = int(self.model_split_percents[0] * model_size)
max_memory = {0: max_size, "cpu": max_size}
# This errors out because it's missing an offload folder
new_model = self.model_class.from_pretrained(tmp_dir, device_map="auto", max_memory=max_memory)
max_size = int(self.model_split_percents[1] * model_size)
max_size = int(self.model_split_percents[0] * model_size)
max_memory = {0: max_size, "cpu": max_size}
new_model = self.model_class.from_pretrained(
tmp_dir, device_map="auto", max_memory=max_memory, offload_folder=tmp_dir
@@ -749,6 +755,9 @@ class ModelTesterMixin:
def test_disk_offload_with_safetensors(self):
config, inputs_dict = self.prepare_init_args_and_inputs_for_common()
model = self.model_class(**config).eval()
if model._no_split_modules is None:
return
model = model.to(torch_device)
torch.manual_seed(0)
@@ -758,7 +767,7 @@ class ModelTesterMixin:
with tempfile.TemporaryDirectory() as tmp_dir:
model.cpu().save_pretrained(tmp_dir)
max_size = int(self.model_split_percents[1] * model_size)
max_size = int(self.model_split_percents[0] * model_size)
max_memory = {0: max_size, "cpu": max_size}
new_model = self.model_class.from_pretrained(
tmp_dir, device_map="auto", offload_folder=tmp_dir, max_memory=max_memory
@@ -774,6 +783,9 @@ class ModelTesterMixin:
def test_model_parallelism(self):
config, inputs_dict = self.prepare_init_args_and_inputs_for_common()
model = self.model_class(**config).eval()
if model._no_split_modules is None:
return
model = model.to(torch_device)
torch.manual_seed(0)