Revert "Add nested tensor support to autograd (pytorch#79446)"

This reverts commit f965681.

Update on "Add forward AD for linalg.det and simplify its backward"

This PR is in preparation for implementing `logdet` and `slogdet` as
structured kernels + implementing them with more efficient derivatives

We implement forward AD for det. We also simplify the implementation of
the backward, and leave a note on how to implement it properly for
singular matrices. We leave thad for future work.

Note (by looking at the OpInfo) that the current implementation passes
the same tests as the one before. We skip the forward-over-backward in
the singular case, as that one was not working in the gradgrad case
either.

[ghstack-poisoned]

[2] move more pytorch buck targets to shared build (pytorch#79330)

Summary:
Pull Request resolved: pytorch#79330

Move more xplat buck targets to the shared build file

Test Plan: sandcastle and oss CI

Differential Revision: D37087229

fbshipit-source-id: c0efed4a86e253b0732e682c7c6955c9d7e6213c

Update on "Add forward AD for linalg.det and simplify its backward"

This PR is in preparation for implementing `logdet` and `slogdet` as
structured kernels + implementing them with more efficient derivatives

We implement forward AD for det. We also simplify the implementation of
the backward, and leave a note on how to implement it properly for
singular matrices. We leave thad for future work.

Note (by looking at the OpInfo) that the current implementation passes
the same tests as the one before. We skip the forward-over-backward in
the singular case, as that one was not working in the gradgrad case
either.

[ghstack-poisoned]

reland Add offsets-based reduction to segment_reduce (CPU, CUDA)

[ghstack-poisoned]

permute for COO sparse tensors

Add amax and amin with tests (pytorch#33)

* Add amax and amin with tests

2 thread

Skip test_correctness_with_reusing_ir

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