// `tensor_shape`. `tfl_pad_values` should be formatted as `[[low_0, high_0],
  // [low_1, high_1], ..., [low_n, high_n]]`, where `low_x` and `high_x` are the
  // low and high paddings for the x-th dimension, respectively.
  SmallVector<int64_t> InferPaddedTensorShape(
      const ArrayRef<int64_t> tensor_shape,
      const ArrayRef<int32_t> tfl_pad_values) const {

//		include path must be in the same directory as the Go package they are
//		included from, and overlays will not appear when binaries and tests are
//		run through go run and go test respectively.
//	-pgo file
//		specify the file path of a profile for profile-guided optimization (PGO).
//		When the special name "auto" is specified, for each main package in the

      feature_dim != bias_len) {
    return op.emitOpError()
           << "requires channel dimension and feature dimension to match; "
              "found "
           << feature_dim << " and " << bias_len << ", respectively";
  }
  return success();
}

LogicalResult BiasAddOp::UpdateDataFormat(StringRef data_format) {
  return ::mlir::TF::UpdateDataFormat(data_format, this);
}

	// Readers that cannot take the lock may (carefully!) use the atomic
	// variables below.
	allglock mutex
	allgs    []*g

	// allglen and allgptr are atomic variables that contain len(allgs) and
	// &allgs[0] respectively. Proper ordering depends on totally-ordered
	// loads and stores. Writes are protected by allglock.
	//
	// allgptr is updated before allglen. Readers should read allglen

    input in that dimension.

    Both paddings[D, 0] and paddings[D, 1] must be no greater than
    input.dim_size(D) (or input.dim_size(D) - 1)
    if copy_border is true (if false, respectively).

    The padded size of each dimension D of the output is:

    paddings(D, 0) + input.dim_size(D) + paddings(D, 1)
  }];

  let arguments = (ins

	_   incomparable
	n   int
	err error
	b   byte // byte read, if n == 1
}

// connReader is the io.Reader wrapper used by *conn. It combines a
// selectively-activated io.LimitedReader (to bound request header
// read sizes) with support for selectively keeping an io.Reader.Read
// call blocked in a background goroutine to wait for activity and
// trigger a CloseNotifier channel.
type connReader struct {
	conn *conn

          <version>4.0.0+</version>
          <description>Distribution information for a project that enables deployment of the site
            and artifacts to remote web servers and repositories respectively.</description>
          <association>
            <type>DistributionManagement</type>
          </association>
        </field>
        <field xdoc.separator="blank">
          <name>properties</name>

  absl::flat_hash_map<std::pair<std::vector<int32_t>, std::vector<int32_t>>,
                      std::pair<uint64_t, uint64_t>>
      custom_op_idx_map_;

  // Points to TensorFlow and TFLite dialects, respectively. nullptr if the
  // dialect is not registered.
  const Dialect* tf_dialect_;
  const Dialect* tfl_dialect_;
  const Dialect* vhlo_dialect_;

  // The failed ops during legalization.

	kl.probeManager.RemovePod(pod)

	// Guard against consistency issues in KillPod implementations by checking that there are no
	// running containers. This method is invoked infrequently so this is effectively free and can
	// catch race conditions introduced by callers updating pod status out of order.
	// TODO: have KillPod return the terminal status of stopped containers and write that into the
	//  cache immediately

    'UniformQuantizedDotHybrid',
)

_DebuggerConfig = stablehlo_quant_config_pb2.DebuggerConfig

# Lists of ops whose channel dimension should be changed if per_channel
# quantization is enabled. Respectively refers to (scale, zero_point).
_SUFFIXES = ('/filter1', '/filter2')
_PER_CHANNEL_OP_NAMES = (
    f'{op}{suffix}'
    for op, suffix in itertools.product(_PER_CHANNEL_QUANTIZED_OPS, _SUFFIXES)
)