…ance_tracing=True` (pytorch#158576)

Summary:

- Split `create_mapping` to `create_mapping_pre_post_grad_nodes` and  ` create_node_mapping_kernel_to_post_grad`
- Store a mapping from pre_grad graph node names to stack traces in `_inductor_pre_grad_node_stack_trace`
- Add `stack_traces` member to ir.Node and add it to the string representation of ir.Node
- When we create an IR node, if `inductor.config.trace.provenance_tracing=True`, we populate `stack_traces` from `origins`. The nodes in `origins` are post_grad graph nodes. If a node has `node.stack_trace`, we store the stack_trace directly. This is particularly important for backward graph nodes because they don't have a mapping to pre-grad graph nodes. If a node doesn't have `.stack_trace ` (such as `linear`-> `addmm` nodes), we use the stack trace of the pre_grad graph nodes that it maps to.


Example:

```
scheduling ExternKernelOut(
  python_kernel_name='extern_kernels.mm',
  name=buf0,
  layout=FixedLayout('cuda:0', torch.float32, size=[8, 16], stride=[16, 1]),
  inputs=[InputBuffer(name='arg2_1', layout=FixedLayout('cuda:0', torch.float32, size=[8, 10], stride=[10, 1])), ReinterpretView(
    StorageBox(
      ConstantBuffer(name='fc1_weight', layout=FixedLayout('cuda:0', torch.float32, size=[16, 10], stride=[10, 1]))
    ),
    FixedLayout('cuda:0', torch.float32, size=[10, 16], stride=[1, 10]),
    origins=OrderedSet([mm_default_1]),
    stack_traces for linear = {,
    File "/data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/7b4b7a52e15abb17/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py", line 29, in forward,
        x = self.fc1(x),
      File "/data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/7b4b7a52e15abb17/scripts/shangdiy/__aot__/aot#link-tree/torch/nn/modules/linear.py", line 125, in forward,
        return F.linear(input, self.weight, self.bias),
    }
  )],
  constant_args=(),
  kwargs={},
  output_view=None,
  python_kernel_name=extern_kernels.mm,
  cpp_kernel_name=at::mm_out,
  ordered_kwargs_for_cpp_kernel=(),
  op_overload=None,
  arg_properties=[{}, {}],
  allarg_properties={},
  kwarg_properties=None,
  unbacked_bindings={},
  mutation_outputs=[],
  origin_node=mm_default_1,
  origins=OrderedSet([mm_default_1]),
  stack_traces for linear = {,
  File "/data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/7b4b7a52e15abb17/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py", line 29, in forward,
      x = self.fc1(x),
    File "/data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/7b4b7a52e15abb17/scripts/shangdiy/__aot__/aot#link-tree/torch/nn/modules/linear.py", line 125, in forward,
      return F.linear(input, self.weight, self.bias),
  }
)
```

Test Plan:
```
buck2 run mode/dev-nosan fbcode//caffe2/test/inductor:provenance_tracing
```

Rollback Plan:

Differential Revision: D78365534