Update CircleCI artifacts for PR 41251 (3a26469f9878)

pr-41251/sha-3a26469f9878/failure_summary.json

@@ -0,0 +1,414 @@
+{
+    "failures": [
+        {
+            "job_name": "tests_training_ci",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_training_overfit",
+            "short_error": "AssertionError: False is not true : Expected model to generate the training sequence after overfitting",
+            "error": "/usr/local/lib/python3.10/unittest/case.py:687: AssertionError: False is not true : Expected model to generate the training sequence after overfitting",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_torch",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_sdpa_padding_matches_padding_free_with_position_ids",
+            "short_error": "AssertionError: Tensor-likes are not close!",
+            "error": "/root/project/tests/generation/test_utils.py:2133: AssertionError: Tensor-likes are not close!",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_torch",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_training_overfit",
+            "short_error": "AssertionError: False is not true : Expected model to generate the training sequence after overfitting",
+            "error": "/usr/local/lib/python3.10/unittest/case.py:687: AssertionError: False is not true : Expected model to generate the training sequence after overfitting",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_torch",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_batched_and_grouped_inference_1_fp32",
+            "short_error": "AssertionError: Expected 'mock' to have been called.",
+            "error": "/usr/local/lib/python3.10/unittest/mock.py:898: AssertionError: Expected 'mock' to have been called.",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_torch",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_15_fp32_pad_right_no_attn_mask",
+            "short_error": "ValueError: mean relative difference for hidden_states: 1.186e-02, torch atol = 1e-06, torch rtol = 0.0001",
+            "error": "/root/project/tests/test_modeling_common.py:528: ValueError: mean relative difference for hidden_states: 1.186e-02, torch atol = 1e-06, torch rtol = 0.0001",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_torch",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_keep_in_fp32_modules_exist",
+            "short_error": "AssertionError: False is not true : ['e_score_correction_bias'] were specified in the `_keep_in_fp32_modules_strict` list, but are not part of the modules in DeepseekV32Model",
+            "error": "/usr/local/lib/python3.10/unittest/case.py:687: AssertionError: False is not true : ['e_score_correction_bias'] were specified in the `_keep_in_fp32_modules_strict` list, but are not part of the modules in DeepseekV32Model",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_torch",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_02_fp16_pad_left_no_attn_mask_sdpa_kernels",
+            "short_error": "RuntimeError: expected m1 and m2 to have the same dtype, but got: c10::Half != float",
+            "error": "/usr/local/lib/python3.10/site-packages/torch/nn/modules/linear.py:134: RuntimeError: expected m1 and m2 to have the same dtype, but got: c10::Half != float",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_torch",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_batched_and_grouped_inference_0_fp16",
+            "short_error": "AssertionError: Expected 'mock' to have been called.",
+            "error": "/usr/local/lib/python3.10/unittest/mock.py:898: AssertionError: Expected 'mock' to have been called.",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_torch",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_06_fp16_pad_right_no_attn_mask_sdpa_kernels",
+            "short_error": "RuntimeError: expected m1 and m2 to have the same dtype, but got: c10::Half != float",
+            "error": "/usr/local/lib/python3.10/site-packages/torch/nn/modules/linear.py:134: RuntimeError: expected m1 and m2 to have the same dtype, but got: c10::Half != float",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_torch",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_13_fp32_pad_right",
+            "short_error": "ValueError: mean relative difference for hidden_states: 2.816e-02, torch atol = 1e-06, torch rtol = 0.0001",
+            "error": "/root/project/tests/test_modeling_common.py:528: ValueError: mean relative difference for hidden_states: 2.816e-02, torch atol = 1e-06, torch rtol = 0.0001",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_torch",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_03_fp16_pad_left_no_attn_mask",
+            "short_error": "RuntimeError: expected m1 and m2 to have the same dtype, but got: c10::Half != float",
+            "error": "/usr/local/lib/python3.10/site-packages/torch/nn/modules/linear.py:134: RuntimeError: expected m1 and m2 to have the same dtype, but got: c10::Half != float",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_torch",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_24_fp32_pad_left_output_attentions",
+            "short_error": "ValueError: mean relative difference for hidden_states: 6.457e-03, torch atol = 1e-06, torch rtol = 0.0001",
+            "error": "/root/project/tests/test_modeling_common.py:528: ValueError: mean relative difference for hidden_states: 6.457e-03, torch atol = 1e-06, torch rtol = 0.0001",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_torch",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_tp_plan_matches_params",
+            "short_error": "AssertionError: False is not true : The following entries of the TP-plan are not valid: {'layers.*.mlp.shared_experts.up_proj', 'layers.*.mlp.experts', 'layers.*.mlp.experts.down_proj', 'layers.*.mlp.shared_experts.gate_proj', 'layers.*.mlp.experts.gate_up_proj', 'layers.*.mlp.shared_experts.down_proj'}",
+            "error": "/usr/local/lib/python3.10/unittest/case.py:687: AssertionError: False is not true : The following entries of the TP-plan are not valid: {'layers.*.mlp.shared_experts.up_proj', 'layers.*.mlp.experts', 'layers.*.mlp.experts.down_proj', 'layers.*.mlp.shared_experts.gate_proj', 'layers.*.mlp.experts.gate_up_proj', 'layers.*.mlp.shared_experts.down_proj'}",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_torch",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_04_fp16_pad_right_sdpa_kernels",
+            "short_error": "RuntimeError: expected m1 and m2 to have the same dtype, but got: c10::Half != float",
+            "error": "/usr/local/lib/python3.10/site-packages/torch/nn/modules/linear.py:134: RuntimeError: expected m1 and m2 to have the same dtype, but got: c10::Half != float",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_torch",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_08_fp32_pad_left_sdpa_kernels",
+            "short_error": "ValueError: mean relative difference for hidden_states: 5.759e-02, torch atol = 1e-06, torch rtol = 0.0001",
+            "error": "/root/project/tests/test_modeling_common.py:528: ValueError: mean relative difference for hidden_states: 5.759e-02, torch atol = 1e-06, torch rtol = 0.0001",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_torch",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_10_fp32_pad_left_no_attn_mask_sdpa_kernels",
+            "short_error": "ValueError: mean relative difference for hidden_states: 1.203e-02, torch atol = 1e-06, torch rtol = 0.0001",
+            "error": "/root/project/tests/test_modeling_common.py:528: ValueError: mean relative difference for hidden_states: 1.203e-02, torch atol = 1e-06, torch rtol = 0.0001",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_torch",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_14_fp32_pad_right_no_attn_mask_sdpa_kernels",
+            "short_error": "ValueError: mean relative difference for hidden_states: 3.426e-02, torch atol = 1e-06, torch rtol = 0.0001",
+            "error": "/root/project/tests/test_modeling_common.py:528: ValueError: mean relative difference for hidden_states: 3.426e-02, torch atol = 1e-06, torch rtol = 0.0001",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_torch",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_07_fp16_pad_right_no_attn_mask",
+            "short_error": "RuntimeError: expected m1 and m2 to have the same dtype, but got: c10::Half != float",
+            "error": "/usr/local/lib/python3.10/site-packages/torch/nn/modules/linear.py:134: RuntimeError: expected m1 and m2 to have the same dtype, but got: c10::Half != float",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_torch",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_00_fp16_pad_left_sdpa_kernels",
+            "short_error": "RuntimeError: expected m1 and m2 to have the same dtype, but got: c10::Half != float",
+            "error": "/usr/local/lib/python3.10/site-packages/torch/nn/modules/linear.py:134: RuntimeError: expected m1 and m2 to have the same dtype, but got: c10::Half != float",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_torch",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_05_fp16_pad_right",
+            "short_error": "RuntimeError: expected m1 and m2 to have the same dtype, but got: c10::Half != float",
+            "error": "/usr/local/lib/python3.10/site-packages/torch/nn/modules/linear.py:134: RuntimeError: expected m1 and m2 to have the same dtype, but got: c10::Half != float",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_torch",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_01_fp16_pad_left",
+            "short_error": "RuntimeError: expected m1 and m2 to have the same dtype, but got: c10::Half != float",
+            "error": "/usr/local/lib/python3.10/site-packages/torch/nn/modules/linear.py:134: RuntimeError: expected m1 and m2 to have the same dtype, but got: c10::Half != float",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_torch",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_batched_and_grouped_inference_2_bf16",
+            "short_error": "AssertionError: Expected 'mock' to have been called.",
+            "error": "/usr/local/lib/python3.10/unittest/mock.py:898: AssertionError: Expected 'mock' to have been called.",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_torch",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_09_fp32_pad_left",
+            "short_error": "ValueError: mean relative difference for hidden_states: 4.036e-02, torch atol = 1e-06, torch rtol = 0.0001",
+            "error": "/root/project/tests/test_modeling_common.py:528: ValueError: mean relative difference for hidden_states: 4.036e-02, torch atol = 1e-06, torch rtol = 0.0001",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_torch",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_12_fp32_pad_right_sdpa_kernels",
+            "short_error": "ValueError: mean relative difference for hidden_states: 6.432e-02, torch atol = 1e-06, torch rtol = 0.0001",
+            "error": "/root/project/tests/test_modeling_common.py:528: ValueError: mean relative difference for hidden_states: 6.432e-02, torch atol = 1e-06, torch rtol = 0.0001",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_torch",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_reverse_loading_mapping",
+            "short_error": "AssertionError: ['embed_tokens.weight', 'layers.0.input_layernorm.weight', 'layers.0.mlp.down_proj.weight', 'layers.0.mlp.gate_proj.weight', 'layers.0.mlp.up_proj.weight', 'layers.0.post_attention_layernorm.weight', 'layers.0.self_attn.indexer.k_norm.bias', 'layers.0.self_attn.indexer.k_norm.weight', 'layers.0.self_attn.indexer.weights_proj.weight', 'layers.0.self_attn.indexer.wk.weight', 'layers.0.self_attn.indexer.wq_b.weight', 'layers.0.self_attn.kv_a_layernorm.weight', 'layers.0.self_attn.kv_a_proj_with_mqa.weight', 'layers.0.self_attn.kv_b_proj.weight', 'layers.0.self_attn.o_proj.weight', 'layers.0.self_attn.q_a_layernorm.weight', 'layers.0.self_attn.q_a_proj.weight', 'layers.0.self_attn.q_b_proj.weight', 'layers.1.input_layernorm.weight', 'layers.1.mlp.down_proj.weight', 'layers.1.mlp.gate_proj.weight', 'layers.1.mlp.up_proj.weight', 'layers.1.post_attention_layernorm.weight', 'layers.1.self_attn.indexer.k_norm.bias', 'layers.1.self_attn.indexer.k_norm.weight', 'layers.1.self_attn.indexer.weights_proj.weight', 'layers.1.self_attn.indexer.wk.weight', 'layers.1.self_attn.indexer.wq_b.weight', 'layers.1.self_attn.kv_a_layernorm.weight', 'layers.1.self_attn.kv_a_proj_with_mqa.weight', 'layers.1.self_attn.kv_b_proj.weight', 'layers.1.self_attn.o_proj.weight', 'layers.1.self_attn.q_a_layernorm.weight', 'layers.1.self_attn.q_a_proj.weight', 'layers.1.self_attn.q_b_proj.weight', 'norm.weight'] == ['embed_tokens.weight', 'layers.0.input_layernorm.weight', 'layers.0.mlp.down_proj.weight', 'layers.0.mlp.gate_proj.weight', 'layers.0.mlp.up_proj.weight', 'layers.0.post_attention_layernorm.weight', 'layers.0.self_attn.indexer.k_norm.bias', 'layers.0.self_attn.indexer.k_norm.weight', 'layers.0.self_attn.indexer.weights_proj.weight', 'layers.0.self_attn.indexer.wk.weight', 'layers.0.self_attn.indexer.wq_b.weight', 'layers.0.self_attn.kv_a_layernorm.weight', 'layers.0.self_attn.kv_a_proj_with_mqa.weight', 'layers.0.self_attn.kv_b_proj.weight', 'layers.0.self_attn.o_proj.weight', 'layers.0.self_attn.q_a_layernorm.weight', 'layers.0.self_attn.q_a_proj.weight', 'layers.0.self_attn.q_b_proj.weight', 'layers.1.input_layernorm.weight', 'layers.1.mlp.down_proj.weight', 'layers.1.mlp.gate_proj.weight', 'layers.1.mlp.up_proj.weight', 'layers.1.post_attention_layernorm.weight', 'layers.1.self_attn.indexer.k_norm.bias', 'layers.1.self_attn.indexer.k_norm.weight', 'layers.1.self_attn.indexer.weights_proj.weight', 'layers.1.self_attn.indexer.wk.weight', 'layers.1.self_attn.indexer.wq_b.weight', 'layers.1.self_attn.kv_a_layernorm.weight', 'layers.1.self_attn.kv_a_proj_with_mqa.weight', 'layers.1.self_attn.kv_b_proj.weight', 'layers.1.self_attn.o_proj.weight', 'layers.1.self_attn.q_a_layernorm.weight', 'layers.1.self_attn.q_a_proj.weight', 'layers.1.self_attn.q_b_proj.weight', 'norm.weight'] : No key mapping was performed!",
+            "error": "/usr/local/lib/python3.10/unittest/case.py:854: AssertionError: ['embed_tokens.weight', 'layers.0.input_layernorm.weight', 'layers.0.mlp.down_proj.weight', 'layers.0.mlp.gate_proj.weight', 'layers.0.mlp.up_proj.weight', 'layers.0.post_attention_layernorm.weight', 'layers.0.self_attn.indexer.k_norm.bias', 'layers.0.self_attn.indexer.k_norm.weight', 'layers.0.self_attn.indexer.weights_proj.weight', 'layers.0.self_attn.indexer.wk.weight', 'layers.0.self_attn.indexer.wq_b.weight', 'layers.0.self_attn.kv_a_layernorm.weight', 'layers.0.self_attn.kv_a_proj_with_mqa.weight', 'layers.0.self_attn.kv_b_proj.weight', 'layers.0.self_attn.o_proj.weight', 'layers.0.self_attn.q_a_layernorm.weight', 'layers.0.self_attn.q_a_proj.weight', 'layers.0.self_attn.q_b_proj.weight', 'layers.1.input_layernorm.weight', 'layers.1.mlp.down_proj.weight', 'layers.1.mlp.gate_proj.weight', 'layers.1.mlp.up_proj.weight', 'layers.1.post_attention_layernorm.weight', 'layers.1.self_attn.indexer.k_norm.bias', 'layers.1.self_attn.indexer.k_norm.weight', 'layers.1.self_attn.indexer.weights_proj.weight', 'layers.1.self_attn.indexer.wk.weight', 'layers.1.self_attn.indexer.wq_b.weight', 'layers.1.self_attn.kv_a_layernorm.weight', 'layers.1.self_attn.kv_a_proj_with_mqa.weight', 'layers.1.self_attn.kv_b_proj.weight', 'layers.1.self_attn.o_proj.weight', 'layers.1.self_attn.q_a_layernorm.weight', 'layers.1.self_attn.q_a_proj.weight', 'layers.1.self_attn.q_b_proj.weight', 'norm.weight'] == ['embed_tokens.weight', 'layers.0.input_layernorm.weight', 'layers.0.mlp.down_proj.weight', 'layers.0.mlp.gate_proj.weight', 'layers.0.mlp.up_proj.weight', 'layers.0.post_attention_layernorm.weight', 'layers.0.self_attn.indexer.k_norm.bias', 'layers.0.self_attn.indexer.k_norm.weight', 'layers.0.self_attn.indexer.weights_proj.weight', 'layers.0.self_attn.indexer.wk.weight', 'layers.0.self_attn.indexer.wq_b.weight', 'layers.0.self_attn.kv_a_layernorm.weight', 'layers.0.self_attn.kv_a_proj_with_mqa.weight', 'layers.0.self_attn.kv_b_proj.weight', 'layers.0.self_attn.o_proj.weight', 'layers.0.self_attn.q_a_layernorm.weight', 'layers.0.self_attn.q_a_proj.weight', 'layers.0.self_attn.q_b_proj.weight', 'layers.1.input_layernorm.weight', 'layers.1.mlp.down_proj.weight', 'layers.1.mlp.gate_proj.weight', 'layers.1.mlp.up_proj.weight', 'layers.1.post_attention_layernorm.weight', 'layers.1.self_attn.indexer.k_norm.bias', 'layers.1.self_attn.indexer.k_norm.weight', 'layers.1.self_attn.indexer.weights_proj.weight', 'layers.1.self_attn.indexer.wk.weight', 'layers.1.self_attn.indexer.wq_b.weight', 'layers.1.self_attn.kv_a_layernorm.weight', 'layers.1.self_attn.kv_a_proj_with_mqa.weight', 'layers.1.self_attn.kv_b_proj.weight', 'layers.1.self_attn.o_proj.weight', 'layers.1.self_attn.q_a_layernorm.weight', 'layers.1.self_attn.q_a_proj.weight', 'layers.1.self_attn.q_b_proj.weight', 'norm.weight'] : No key mapping was performed!",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_torch",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_11_fp32_pad_left_no_attn_mask",
+            "short_error": "ValueError: mean relative difference for hidden_states: 4.811e-02, torch atol = 1e-06, torch rtol = 0.0001",
+            "error": "/root/project/tests/test_modeling_common.py:528: ValueError: mean relative difference for hidden_states: 4.811e-02, torch atol = 1e-06, torch rtol = 0.0001",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_tensor_parallel_ci",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_tp_generation_quantized",
+            "short_error": "torch.multiprocessing.spawn.ProcessRaisedException:",
+            "error": "/usr/local/lib/python3.10/site-packages/torch/multiprocessing/spawn.py:211: torch.multiprocessing.spawn.ProcessRaisedException:",
+            "model_name": "deepseek_v32"
+        },
+        {
+            "job_name": "tests_generate",
+            "test_name": "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_left_padding_compatibility",
+            "short_error": "AssertionError: Tensor-likes are not close!",
+            "error": "/root/project/tests/generation/test_utils.py:1040: AssertionError: Tensor-likes are not close!",
+            "model_name": "deepseek_v32"
+        }
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+                "/usr/local/lib/python3.10/site-packages/torch/multiprocessing/spawn.py:211: torch.multiprocessing.spawn.ProcessRaisedException:": 1,
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+                "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_batched_and_grouped_inference_1_fp32",
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+                "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_03_fp16_pad_left_no_attn_mask",
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+                "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_05_fp16_pad_right",
+                "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_06_fp16_pad_right_no_attn_mask_sdpa_kernels",
+                "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_07_fp16_pad_right_no_attn_mask",
+                "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_08_fp32_pad_left_sdpa_kernels",
+                "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_09_fp32_pad_left",
+                "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_10_fp32_pad_left_no_attn_mask_sdpa_kernels",
+                "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_11_fp32_pad_left_no_attn_mask",
+                "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_12_fp32_pad_right_sdpa_kernels",
+                "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_13_fp32_pad_right",
+                "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_14_fp32_pad_right_no_attn_mask_sdpa_kernels",
+                "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_15_fp32_pad_right_no_attn_mask",
+                "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_eager_matches_sdpa_inference_24_fp32_pad_left_output_attentions",
+                "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_keep_in_fp32_modules_exist",
+                "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_left_padding_compatibility",
+                "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_reverse_loading_mapping",
+                "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_sdpa_padding_matches_padding_free_with_position_ids",
+                "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_tp_generation_quantized",
+                "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_tp_plan_matches_params",
+                "tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32ModelTest::test_training_overfit"
+            ]
+        }
+    }
+}