PyTorch 2.0.1 Release, bug fix release

This release is meant to fix the following issues (regressions / silent correctness): * Fix `_canonical_mask` throws warning when bool masks passed as input to TransformerEncoder/TransformerDecoder (#96009, #96286) * Fix Embedding bag max_norm=-1 causes leaf Variable that requires grad is being used in an in-place operation #95980 * Fix type hint for torch.Tensor.grad_fn, which can be a torch.autograd.graph.Node or None. #96804 * Can’t convert float to int when the input is a scalar np.ndarray. #97696 * Revisit torch._six.string_classes removal #97863 * Fix module backward pre-hooks to actually update gradient #97983 * Fix load_sharded_optimizer_state_dict error on multi node #98063 * Warn once for TypedStorage deprecation #98777 * cuDNN V8 API, Fix incorrect use of emplace in the benchmark cache #97838 ### Torch.compile: * Add support for Modules with custom __getitem__ method to torch.compile #97932 * Fix improper guards with on list variables. #97862 * Fix Sequential nn module with duplicated submodule #98880 ### Distributed: * Fix distributed_c10d's handling of custom backends #95072 * Fix MPI backend not properly initialized #98545 ### NN_frontend: * Update Multi-Head Atten...