This is a part of a larger migration effort for tensorflow::tstring.
See: https://github.com/tensorflow/community/pull/91
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This build target is very useful for prototyping tools with GraphDebugInfo.

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Fixes #9359

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This is to mimic building environment on CHRE.

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Prefer to enumerate all cases in the switch instead of using default to allow
compiler to flag missing cases. This also avoids -Wcovered-switch-default
warning.

PiperOrigin-RevId: 262935972

When comparing CacheKeys we cannot simply compare the namedtuple fields
since that might involve comparing 2 Variables whose equality comparison
returns a Tensor rather than a bool. We thus compare Variables using
their class name, dtype & shape, similar to the processing we do for the
hash.

PiperOrigin-RevId: 262935453

This can result in index expression overflow in "Loc.getPointer() - ColumnNo"
in SourgeMgr.

loc could also be prefixed to the message additionally in this case.

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This is a part of a larger migration effort for tensorflow::tstring.
See: https://github.com/tensorflow/community/pull/91
PiperOrigin-RevId: 262918920

This is a part of a larger migration effort for tensorflow::tstring.
See: https://github.com/tensorflow/community/pull/91
PiperOrigin-RevId: 262918772

Every new instance of TfLiteGlCompileOptions should be populated through DefaultTfLiteGlCompileOptions() call to avoid breaking changes when new option is introduced.

PiperOrigin-RevId: 262918305

This instruction is a local counterpart of llvm.global that takes a symbol
reference to a global and produces an SSA value containing the pointer to it.
Used in combination, these two operations allow one to use globals with other
operations expecting SSA values.  At a cost of IR indirection, we make sure the
functions don't implicitly capture the surrounding SSA values and remain
suitable for parallel processing.

PiperOrigin-RevId: 262908622

This CL is step 3/n towards building a simple, programmable and portable vector abstraction in MLIR that can go all the way down to generating assembly vector code via LLVM's opt and llc tools.

This CL adds support for converting MLIR n-D vector types to (n-1)-D arrays of 1-D LLVM vectors and a conversion VectorToLLVM that lowers the `vector.extractelement` and `vector.outerproduct` instructions to the proper mix of `llvm.vectorshuffle`, `llvm.extractelement` and `llvm.mulf`.

This has been independently verified to produce proper avx2 code.

Input:
```
func @vec_1d(%arg0: vector<4xf32>, %arg1: vector<8xf32>) -> vector<8xf32> {
  %2 = vector.outerproduct %arg0, %arg1 : vector<4xf32>, vector<8xf32>
  %3 = vector.extractelement %2[0 : i32]: vector<4x8xf32>
  return %3 : vector<8xf32>
}
```

Command:
```
mlir-opt vector-to-llvm.mlir -vector-lower-to-llvm-dialect --disable-pass-threading | mlir-opt -lower-to-cfg -lower-to-llvm | mlir-translate --mlir-to-llvmir | opt -O3 | llc -O3 -march=x86-64 -mcpu=haswell -mattr=fma,avx2
```

Output:
```
vec_1d:                                 # @vec_1d
# %bb.0:
        vbroadcastss    %xmm0, %ymm0
        vmulps  %ymm1, %ymm0, %ymm0
        retq
```
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failures.

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PiperOrigin-RevId: 262855058

This is a part of a larger migration effort for tensorflow::tstring.
See: https://github.com/tensorflow/community/pull/91
PiperOrigin-RevId: 262850088

The pattern list is not modified by any of these APIs and should thus be passed with const.

PiperOrigin-RevId: 262844002

1/8/16 bit attrs.  NFC

PiperOrigin-RevId: 262843016

Add tf_device dialect that models TensorFlow's actions of launching computations on accelerator devices.

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