[upstream #3137] [upstream_ut] RuntimeError: expected scalar type Half but found Float#24
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[upstream pytorch#3137] [upstream_ut] RuntimeError: expected scalar type Half but found Float
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[upstream pytorch#3137] [upstream_ut] RuntimeError: expected scalar type Half but found Float
Fixes https://github.com/intel-sandbox/torch-xpu-ops-exp/issues/270
Root Cause: torch.is_autocast_enabled() at transformer.py:865 (and :490) checks only the default device type (cuda) for autocast. When XPU autocast is active, this returns False, so the fastpath is not disabled. The fused _transformer_encoder_layer_fwd then receives fp16 src (cast by autocast) alongside fp32 weights, causing the dtype mismatch.
Failed Tests:
test_transformers_xpu.py::TestTransformersXPU::test_transformerencoder_fastpath_use_torchscript_False_enable_nested_tensor_True_use_autocast_True_d_model_12_xputest_transformers_xpu.py::TestTransformersXPU::test_transformerencoder_fastpath_use_torchscript_False_enable_nested_tensor_False_use_autocast_True_d_model_256_xputest_transformers_xpu.py::TestTransformersXPU::test_transformerencoder_fastpath_use_torchscript_False_enable_nested_tensor_False_use_autocast_True_d_model_12_xputest_transformers_xpu.py::TestTransformersXPU::test_transformerencoder_fastpath_use_torchscript_False_enable_nested_tensor_True_use_autocast_True_d_model_256_xpuDiff stat: