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canonicalize includes of form <aten/src/ATen/...>
Pull Request resolved: https://github.com/pytorch/pytorch/pull/78033 This was never intended to be supported. @override-unit-failures (Note: this ignores all push blocking failures!) Differential Revision: [D36567054](https://our.internmc.facebook.com/intern/diff/D36567054/) Approved by: https://github.com/kit1980
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#include <aten/src/ATen/ThreadLocalState.h>
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#include <ATen/ThreadLocalState.h>
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#include <c10/util/ThreadLocalDebugInfo.h>
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#include <torch/csrc/autograd/functions/utils.h>
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#include <torch/csrc/autograd/profiler.h>
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#include <torch/csrc/jit/codegen/cuda/type_inference.h>
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#include <aten/src/ATen/AccumulateType.h>
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#include <ATen/AccumulateType.h>
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#include <c10/core/ScalarType.h>
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#include <torch/csrc/jit/codegen/cuda/instrumentation.h>
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#include <torch/csrc/jit/ir/constants.h>
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#include <aten/src/ATen/cuda/CUDAEvent.h>
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#include <ATen/cuda/CUDAEvent.h>
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#include <c10/core/Device.h>
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#include <c10/cuda/CUDAStream.h>
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#include <torch/custom_class.h>
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#include <torch/csrc/jit/passes/onnx/fixup_onnx_controlflow.h>
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#include <aten/src/ATen/InitialTensorOptions.h>
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#include <ATen/InitialTensorOptions.h>
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#include <c10/util/irange.h>
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#include <torch/csrc/jit/jit_log.h>
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#include <torch/csrc/jit/passes/dead_code_elimination.h>
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#include <torch/csrc/jit/python/python_ir.h>
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#include <aten/src/ATen/core/jit_type.h>
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#include <ATen/core/jit_type.h>
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#include <pybind11/pybind11.h>
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#include <torch/csrc/Device.h>
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#include <torch/csrc/Dtype.h>
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#include <aten/src/ATen/Context.h>
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#include <ATen/Context.h>
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#include <torch/library.h>
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#include <ATen/ExpandUtils.h>
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#include <ATen/core/jit_type.h>
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#include <aten/src/ATen/ExpandUtils.h>
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#include <c10/core/DefaultDtype.h>
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#include <c10/util/irange.h>
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#include <torch/csrc/api/include/torch/utils.h>
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#include <torch/csrc/jit/runtime/operator.h>
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#include <torch/csrc/jit/runtime/vararg_functions.h>
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#include <aten/src/ATen/InitialTensorOptions.h>
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#include <ATen/InitialTensorOptions.h>
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#include <c10/core/ScalarType.h>
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#include <torch/csrc/jit/frontend/error_report.h>
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#ifdef USE_RPC
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#include <torch/csrc/distributed/rpc/rref_context.h>
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#endif
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#include <aten/src/ATen/quantized/Quantizer.h>
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#include <ATen/quantized/Quantizer.h>
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#include <c10/util/irange.h>
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#include <torch/csrc/jit/api/function_impl.h>
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#include <torch/csrc/jit/serialization/pickler.h>
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#include <ATen/ATen.h>
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#include <ATen/Functions.h>
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#include <ATen/NativeFunctions.h>
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#include <ATen/Parallel.h>
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#include <ATen/core/Tensor.h>
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#include <ATen/native/quantized/PackedParams.h>
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#include <ATen/native/quantized/cpu/BinaryOps.h>
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#include <ATen/native/quantized/cpu/conv_serialization.h>
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#include <ATen/native/xnnpack/OpContext.h>
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#include <ATen/quantized/QTensorImpl.h>
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#include <aten/src/ATen/Parallel.h>
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#include <c10/core/TensorImpl.h>
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#include <c10/core/TensorOptions.h>
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#include <c10/util/ArrayRef.h>
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#include <torch/csrc/jit/tensorexpr/llvm_codegen.h>
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#include <aten/src/ATen/Parallel.h>
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#include <ATen/Parallel.h>
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#include <c10/util/Exception.h>
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#include <c10/util/irange.h>
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#include <torch/csrc/jit/tensorexpr/analysis.h>
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#include <ATen/AccumulateType.h>
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#include <ATen/Dispatch.h>
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#include <ATen/ExpandUtils.h>
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#include <ATen/Functions.h>
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#include <ATen/InferSize.h>
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#include <ATen/WrapDimUtils.h>
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#include <ATen/native/ConvUtils.h>
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#include <ATen/native/ReduceOpsUtils.h>
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#include <ATen/native/TensorConversions.h>
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#include <aten/src/ATen/ExpandUtils.h>
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#include <aten/src/ATen/native/ReduceOpsUtils.h>
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#include <c10/core/ScalarType.h>
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#include <torch/csrc/api/include/torch/enum.h>
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#include <torch/csrc/lazy/core/ops/utils.h>
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#include <torch/csrc/jit/python/pybind_utils.h>
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#include <torch/csrc/utils/pybind.h>
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#include <aten/src/ATen/Parallel.h>
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#include <ATen/Parallel.h>
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#include <c10/util/irange.h>
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namespace torch {
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