SUMIN/HuggingFace_transformer
1
0
Fork 0
Code Issues Pull Requests Actions 7 Packages Projects Releases Wiki Activity

Remove static pretrained maps from the library's internals (#29112)

Browse Source 
* [test_all] Remove static pretrained maps from the library's internals

* Deprecate archive maps instead of removing them

* Revert init changes

* [test_all] Deprecate instead of removing

* [test_all] PVT v2 support

* [test_all] Tests should all pass

* [test_all] Style

* Address review comments

* Update src/transformers/models/deprecated/_archive_maps.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/deprecated/_archive_maps.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* [test_all] trigger tests

* [test_all] LLAVA

* [test_all] Bad rebase

---------

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
This commit is contained in:
Lysandre Debut
2024-03-25 10:33:38 +01:00
committed by GitHub
parent 76a33a1092
commit 39114c0383
842 changed files with 4608 additions and 8613 deletions
Download Patch File Download Diff File Expand all files Collapse all files

7
tests/models/dpt/test_modeling_dpt.py
View File

@@ -32,7 +32,6 @@ if is_torch_available():
from transformers import DPTForDepthEstimation, DPTForSemanticSegmentation, DPTModel
from transformers.models.auto.modeling_auto import MODEL_MAPPING_NAMES
from transformers.models.dpt.modeling_dpt import DPT_PRETRAINED_MODEL_ARCHIVE_LIST
if is_vision_available():
@@ -280,9 +279,9 @@ class DPTModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
@slow
def test_model_from_pretrained(self):
for model_name in DPT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = DPTModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "Intel/dpt-large"
model = DPTModel.from_pretrained(model_name)
self.assertIsNotNone(model)
# We will verify our results on an image of cute cats

7
tests/models/dpt/test_modeling_dpt_auto_backbone.py
View File

@@ -31,7 +31,6 @@ if is_torch_available():
from transformers import DPTForDepthEstimation
from transformers.models.auto.modeling_auto import MODEL_MAPPING_NAMES
from transformers.models.dpt.modeling_dpt import DPT_PRETRAINED_MODEL_ARCHIVE_LIST
if is_vision_available():
@@ -244,9 +243,9 @@ class DPTModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
@slow
def test_model_from_pretrained(self):
for model_name in DPT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = DPTForDepthEstimation.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "Intel/dpt-large"
model = DPTForDepthEstimation.from_pretrained(model_name)
self.assertIsNotNone(model)
# We will verify our results on an image of cute cats

7
tests/models/dpt/test_modeling_dpt_hybrid.py
View File

@@ -32,7 +32,6 @@ if is_torch_available():
from transformers import DPTForDepthEstimation, DPTForSemanticSegmentation, DPTModel
from transformers.models.auto.modeling_auto import MODEL_MAPPING_NAMES
from transformers.models.dpt.modeling_dpt import DPT_PRETRAINED_MODEL_ARCHIVE_LIST
if is_vision_available():
@@ -295,9 +294,9 @@ class DPTModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
@slow
def test_model_from_pretrained(self):
for model_name in DPT_PRETRAINED_MODEL_ARCHIVE_LIST[1:]:
model = DPTModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "Intel/dpt-hybrid-midas"
model = DPTModel.from_pretrained(model_name)
self.assertIsNotNone(model)
def test_raise_readout_type(self):
# We do this test only for DPTForDepthEstimation since it is the only model that uses readout_type