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Purge unused ModelTester code (#37085)

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* Purge correctly this time

* Remove more methods from recent PRs

* make fixup
This commit is contained in:
Matt
2025-04-03 17:48:35 +01:00
committed by GitHub
parent 1b29409d89
commit 2d46a08b63
72 changed files with 3 additions and 4286 deletions
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26
tests/models/pixtral/test_modeling_pixtral.py
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@@ -96,32 +96,6 @@ class PixtralVisionModelTester:
initializer_range=self.initializer_range,
)
def create_and_check_model(self, config, pixel_values):
model = PixtralVisionModel(config=config)
model.to(torch_device)
model.eval()
with torch.no_grad():
result = model(pixel_values)
# expected sequence length = num_patches + 1 (we add 1 for the [CLS] token)
image_size = (self.image_size, self.image_size)
patch_size = (self.patch_size, self.patch_size)
num_patches = (image_size[1] // patch_size[1]) * (image_size[0] // patch_size[0])
self.parent.assertEqual(result.last_hidden_state.shape, (self.batch_size, num_patches + 1, self.hidden_size))
self.parent.assertEqual(result.pooler_output.shape, (self.batch_size, self.hidden_size))
def create_and_check_model_with_projection(self, config, pixel_values):
model = PixtralVisionModel(config=config)
model.to(torch_device)
model.eval()
with torch.no_grad():
result = model(pixel_values)
# expected sequence length = num_patches + 1 (we add 1 for the [CLS] token)
image_size = (self.image_size, self.image_size)
patch_size = (self.patch_size, self.patch_size)
num_patches = (image_size[1] // patch_size[1]) * (image_size[0] // patch_size[0])
self.parent.assertEqual(result.last_hidden_state.shape, (self.batch_size, num_patches + 1, self.hidden_size))
self.parent.assertEqual(result.image_embeds.shape, (self.batch_size, self.projection_dim))
def prepare_config_and_inputs_for_common(self):
config_and_inputs = self.prepare_config_and_inputs()
config, pixel_values, image_sizes = config_and_inputs