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switch to 4.53.3 on CI (#193)
* switch to 4.53.3 on CI * cache a config file * action * lower atol
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6 files changed

+239
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‎.github/workflows/ci.yml‎

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@@ -16,7 +16,7 @@ jobs:
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matrix:
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os: [ubuntu-latest]
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python: ['3.10', '3.11', '3.12', '3.13']
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transformers: ['4.48.3', '4.51.3', '4.52.4', '4.53.1', 'main']
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transformers: ['4.48.3', '4.51.3', '4.52.4', '4.53.3', 'main']
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torch: ['2.7', 'main']
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exclude:
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- python: '3.10'
@@ -28,7 +28,7 @@ jobs:
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- python: '3.10'
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transformers: 'main'
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- python: '3.11'
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transformers: '4.53.1'
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transformers: '4.53.3'
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- python: '3.11'
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transformers: 'main'
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- python: '3.13'

‎.github/workflows/documentation.yml‎

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@@ -24,7 +24,8 @@ jobs:
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with:
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python-version: ${{ matrix.python }}
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- uses: tlylt/install-graphviz@v1
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- name: install graphviz
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uses: ts-graphviz/setup-graphviz@v2
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- name: Install pandoc
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run: sudo apt-get install -y pandoc

‎CHANGELOGS.rst‎

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@@ -4,6 +4,8 @@ Change Logs
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0.7.6
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+++++
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* :pr:`193`: validates with 4.53.3
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* :pr:`189`: support for task mask-generation
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* :pr:`192`: add support for Gemma-3, add serialization for HybridCache,
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changes to support ``transformers>=4.54``
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‎_doc/conf.py‎

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@@ -119,6 +119,7 @@ def linkcode_resolve(domain, info):
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("py:class", "False"),
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("py:class", "True"),
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("py:class", "Argument"),
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("py:class", "CacheProcessor"),
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("py:class", "default=sklearn.utils.metadata_routing.UNCHANGED"),
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("py:class", "diffusers.models.unets.unet_2d_condition.UNet2DConditionOutput"),
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("py:class", "ModelProto"),
@@ -142,6 +143,7 @@ def linkcode_resolve(domain, info):
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("py:class", "transformers.cache_utils.EncoderDecoderCache"),
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("py:class", "transformers.cache_utils.HybridCache"),
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("py:class", "transformers.cache_utils.MambaCache"),
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("py:class", "transformers.models.mamba.modeling_mamba.MambaCache"),
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("py:class", "transformers.cache_utils.SlidingWindowCache"),
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("py:class", "transformers.cache_utils.StaticCache"),
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("py:class", "transformers.configuration_utils.PretrainedConfig"),

‎_unittests/ut_torch_onnx/test_sbs.py‎

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@@ -78,7 +78,7 @@ def forward(self, x):
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onx,
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(x,),
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check_conversion_cls=dict(
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cls=ExtendedReferenceEvaluator, atol=1e-5, rtol=1e-5
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cls=ExtendedReferenceEvaluator, atol=1e-4, rtol=1e-4
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),
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verbose=1,
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),

‎onnx_diagnostic/torch_models/hghub/hub_data_cached_configs.py‎

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@@ -1366,6 +1366,236 @@ def _ccached_fxmarty_tiny_random_gemmaforcausallm():
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)
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def _ccached_fxmarty_sam_vit_tiny_random():
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"fxmarty/sam-vit-tiny-random"
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return transformers.SamConfig(
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**{
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"_commit_hash": "a7c34ea5d2b33a3bc34d34dc9a7b2417c0eaa809",
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"_name_or_path": "facebook/sam-vit-base",
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"architectures": ["SamModel"],
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"typical_p": 1.0,
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},
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"model_type": "sam",
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"prompt_encoder_config": {
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"encoder_no_repeat_ngram_size": 0,
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"hidden_size": 32,
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"id2label": {"0": "LABEL_0", "1": "LABEL_1"},
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"image_embedding_size": 64,
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"image_size": 1024,
1470+
"is_decoder": false,
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"is_encoder_decoder": false,
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"label2id": {"LABEL_0": 0, "LABEL_1": 1},
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"layer_norm_eps": 1e-06,
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1487+
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1492+
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1495+
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1511+
},
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1515+
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1535+
"global_attn_indexes": [2, 5, 8, 11],
1536+
"hidden_act": "gelu",
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"hidden_size": 96,
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"id2label": {"0": "LABEL_0", "1": "LABEL_1"},
1539+
"image_size": 1024,
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"initializer_factor": 1.0,
1541+
"initializer_range": 1e-10,
1542+
"intermediate_size": 768,
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1545+
"label2id": {"LABEL_0": 0, "LABEL_1": 1},
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1549+
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1551+
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1552+
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1553+
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1558+
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1559+
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"transformers_version": "4.29.0.dev0",
1589+
"typical_p": 1.0,
1590+
"use_abs_pos": true,
1591+
"use_bfloat16": false,
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"use_rel_pos": true,
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"window_size": 14,
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},
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}
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)
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def _ccached_hf_internal_testing_tiny_random_gptneoxforcausallm():
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"hf-internal-testing/tiny-random-GPTNeoXForCausalLM"
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return transformers.GPTNeoXConfig(

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