[ET Device Support] Add device tensor helper functions to TensorPtr API

[Gasoonjia]

Stack from ghstack (oldest at bottom):

• [ET Device Support] CUDA-native Qwen 3.5 MoE inference with device tensor pipeline #18788
• [ET Device Support] Extract shared device test utilities to reduce redundancy #18762
• -> [ET Device Support] Add device tensor helper functions to TensorPtr API #18761
• [ET Device Support] Add ExecutorchBackendConfig flags for skipping H2D/D2H copies #18760
• [ET Device Support] PropagateDevicePass inserts H2D/D2H copy ops at delegate boundaries #18730
• [ET Device Support] Define et_copy runtime h2d and d2h copy ops #18729
• [ET Device Support] Define AOT device copy ops registry #18728
• [ET Device Support] CudaAllocator: device memory allocator for CUDA backend #18477
• [ET Device Support] Module: allocate device memory for planned buffers #18476
• [ET Device Support] MemoryManager: add per-buffer device metadata #18475
• [ET Device Support] MethodMeta: expose per-buffer device placement API #18474
• [ET Device Support] DeviceMemoryBuffer RAII class for device memory lifetime management #18473
• [ET Device Support] Emitter reads non_const_buffer_device from graph meta #18472
• [ET Device Support] Device-aware memory planning: separate buffers per device type #18375
• [ET Device Support] Add NonConstBufferDevice schema for per-buffer device mapping #18330
• [ET Device Support] DeviceAllocator interface and DeviceAllocatorRegistry #17535
• [ET Device Support] Annotate device attributes of CUDA backend IO tensors cuda device #18080
• [ET Device Support] Parse device info from serialized tensor in tensor_parser #18328
• [ET Device Support] Propagate device info from TensorSpec into serialized Tensor #18079
• [executorch] Propagate device metadata from partitioner result onto TensorSpecs #18078

Add clone_tensor_ptr_to_device and clone_tensor_ptr_to_cpu to tensor_ptr.h for cloning tensors between host and device memory via DeviceAllocatorRegistry.
Extend the existing make_tensor_ptr(const TensorPtr&, ...) overload with optional device_type/device_index parameters (default CPU/0) for seamless device placement.

Differential Revision: D99913077

[pytorch-bot]

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❌ 71 New Failures, 1 Cancelled Job

As of commit 888fdcf with merge base b5ae0b9 ():

NEW FAILURES - The following jobs have failed:

• Build Presets / apple (pybind) / build (gh)
  RuntimeError: Command bash /Users/runner/work/_temp/exec_script failed with exit code 2
• Build Presets / linux (pybind, linux.2xlarge, executorch-ubuntu-22.04-clang12) / build (gh)
  undefined reference to executorch::runtime::DeviceMemoryBuffer::create(unsigned long, executorch::runtime::etensor::DeviceType, signed char)'`
• Build Presets / linux (pybind, linux.arm64.2xlarge, executorch-ubuntu-22.04-gcc11-aarch64) / build (gh)
  undefined reference to executorch::runtime::DeviceMemoryBuffer::create(unsigned long, executorch::runtime::etensor::DeviceType, signed char)'`
• Build Presets / windows (pybind) / build (gh)
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• Cadence Build & Test / cpu-test / test-aot / test-aot (gh)
  backends/cadence/aot/tests/test_replace_ops_passes.py::TestReplaceOpsPasses::test_replace_transposed_conv_with_linear_0
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CANCELLED JOB - The following job was cancelled. Please retry:

• Test CoreML Backend / test-coreml / test-backend-macos (coreml, operators) / macos-job (gh)
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