Reenable failing tests with dynamo

[t-vi]

The following will be disabled due to failures with PyTorch 2.6 dev (internal dynamo changes in PT nightly?):

FAILED thunder/tests/test_recipes.py::test_recipe_basic_bert_dynamo - NotImplementedError: VJP for PrimIDs.ITEM is not implemented
FAILED thunder/tests/test_dynamo.py::test_thundercompiler_optim_step_DynamoThunder_cuda_thunder.dtypes.float32[adam] - torch._dynamo.exc.BackendCompilerFailed: backend='<thunder.dynamo.compiler.ThunderCompiler object at 0x7f4970307490>' raised:
FAILED thunder/tests/test_dynamo.py::test_thundercompiler_optim_step_DynamoThunder_cuda_thunder.dtypes.float32[adamw] - torch._dynamo.exc.BackendCompilerFailed: backend='<thunder.dynamo.compiler.ThunderCompiler object at 0x7f07282833a0>' raised:
FAILED thunder/tests/test_networks.py::test_thunderfx_mistral_nemo_small - NotImplementedError: VJP for PrimIDs.ITEM is not implemented
FAILED thunder/tests/test_networks.py::test_hf_for_nemo[Qwen/Qwen2.5-7B-Instruct] - NotImplementedError: VJP for PrimIDs.ITEM is not implemented
FAILED thunder/tests/test_networks.py::test_hf_for_nemo[microsoft/Phi-3-mini-128k-instruct] - NotImplementedError: VJP for PrimIDs.ITEM is not implemented
FAILED thunder/tests/test_networks.py::test_nanogpt_gelu_DynamoThunder_cuda_thunder.dtypes.float32 - torch._dynamo.exc.BackendCompilerFailed: backend='<thunder.dynamo.compiler.ThunderCompiler object at 0x7f51b3b57100>' raised:

[IvanYashchuk]

Here's the missing vjp/grad rule issue for prims.item: #1479.