[NVPTX,test] Change llc -march= to -mtriple=

Similar to 806761a7629df268c8aed49657aeccffa6bca449

-mtriple= specifies the full target triple while -march= merely sets the
architecture part of the de

[NVPTX,test] Change llc -march= to -mtriple=

Similar to 806761a7629df268c8aed49657aeccffa6bca449

-mtriple= specifies the full target triple while -march= merely sets the
architecture part of the default target triple (e.g. Windows, macOS),
leaving a target triple which may not make sense.

Therefore, -march= is error-prone and not recommended for tests without
a target triple. The issue has been benign as we recognize
nvptx{,64}-apple-darwin as ELF instead of rejecting it outrightly.

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[NVPTX] Add TMA bulk tensor copy intrinsics (#96083)

This patch adds NVVM intrinsics and NVPTX codegen for:
* cp.async.bulk.tensor.S2G.1D -> 5D variants, supporting both Tile and
Im2Col modes.

[NVPTX] Add TMA bulk tensor copy intrinsics (#96083)

This patch adds NVVM intrinsics and NVPTX codegen for:
* cp.async.bulk.tensor.S2G.1D -> 5D variants, supporting both Tile and
Im2Col modes. These intrinsics optionally support cache_hints as
indicated by the boolean flag argument.
* cp.async.bulk.tensor.G2S.1D -> 5D variants, with support for both Tile
and Im2Col modes. The Im2Col variants have an extra set of offsets as
parameters. These intrinsics optionally support multicast and cache_hints,
as indicated by the boolean arguments at the end of the intrinsics.
* The backend looks through these flag arguments and lowers to the
appropriate PTX instruction.
* Lit tests are added for all combinations of these intrinsics in
cp-async-bulk-tensor-g2s/s2g.ll.
* The generated PTX is verified with a 12.3 ptxas executable.
* Added docs for these intrinsics in NVPTXUsage.rst file.
* PTX Spec reference:
https://docs.nvidia.com/cuda/parallel-thread-execution/#data-movement-and-conversion-instructions-cp-async-bulk-tensor

Signed-off-by: Durgadoss R <durgadossr@nvidia.com>

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