#include "tensorflow/cc/ops/data_flow_ops.h"
#include "tensorflow/cc/ops/image_ops.h"
#include "tensorflow/cc/ops/io_ops.h"
#include "tensorflow/cc/ops/linalg_ops.h"
#include "tensorflow/cc/ops/logging_ops.h"
#include "tensorflow/cc/ops/lookup_ops.h"
#include "tensorflow/cc/ops/math_ops.h"
#include "tensorflow/cc/ops/nn_ops.h"
#include "tensorflow/cc/ops/no_op.h"
#include "tensorflow/cc/ops/parsing_ops.h"
#include "tensorflow/cc/ops/random_ops.h"

limitations under the License.
==============================================================================*/

// This file is MACHINE GENERATED! Do not edit.

#include "tensorflow/c/experimental/ops/io_ops.h"

#include "tensorflow/c/eager/abstract_context.h"
#include "tensorflow/c/eager/abstract_tensor_handle.h"
#include "tensorflow/c/eager/tracing_utils.h"
#include "tensorflow/core/framework/types.h"

cc_library(
    name = "ops",
    hdrs = [
        "array_ops.h",
        "io_ops.h",
        "math_ops.h",
        "nn_ops.h",
        "resource_variable_ops.h",
    ],
    visibility = [
        "//tensorflow:internal",
    ],
    deps = [
        ":array_ops",
        ":io_ops",
        ":math_ops",
        ":nn_ops",
        ":resource_variable_ops",
        "//tensorflow/c/eager:abstract_context",

Jeremy Meredith <******@****.***> 1652208970 -0700

Jeremy Meredith <******@****.***> 1652809654 -0700

from tensorflow.python.ops import array_ops_stack  # pylint: disable=g-direct-tensorflow-import
from tensorflow.python.ops import io_ops
from tensorflow.python.ops import lookup_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.ops import nn_ops
from tensorflow.python.ops import random_ops
from tensorflow.python.ops import string_ops
from tensorflow.python.ops import variables

from tensorflow.python.ops import control_flow_assert
from tensorflow.python.ops import control_flow_ops
from tensorflow.python.ops import control_flow_util
from tensorflow.python.ops import math_ops
from tensorflow.python.ops import nn_ops
from tensorflow.python.ops import variable_v1
from tensorflow.python.ops import variables
from tensorflow.python.training import saver as saver_lib

FLAGS = None


def tfadd(_):

load("//tensorflow:tensorflow.bzl", "if_oss")
load("//tensorflow/compiler/mlir:glob_lit_test.bzl", "glob_lit_tests")

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    licenses = ["notice"],
)

# copybara:uncomment_begin
#
# glob_lit_tests(
#     name = "all_tests",
#     data = [":test_utilities"],
#     driver = "//tensorflow/compiler/mlir:run_lit.sh",

      ('none', None, False, False, quant_opts_pb2.TF, False, 'SAME'),
      ('relu', nn_ops.relu, False, False, quant_opts_pb2.TF, False, 'SAME'),
      ('relu6', nn_ops.relu6, False, False, quant_opts_pb2.TF, False, 'SAME'),
      ('with_bias', None, True, False, quant_opts_pb2.TF, False, 'SAME'),
      (
          'with_bias_and_relu',
          nn_ops.relu,
          True,
          False,
          quant_opts_pb2.TF,

	MOVV	ptr+0(FP), R1
	MOVV	n+8(FP), R2
	ADDV	R1, R2, R4

	// if less than 16 bytes or no MSA, do words check
	SGTU	$16, R2, R3
	BNE	R3, no_msa
	MOVBU	internal∕cpu·MIPS64X+const_offsetMIPS64XHasMSA(SB), R3
	BEQ	R3, R0, no_msa

	VMOVB	$0, W0

	SGTU	$128, R2, R3
	BEQ	R3, msa_large

	AND	$15, R2, R5
	XOR	R2, R5, R6
	ADDVU	R1, R6

msa_small:
	VMOVB	W0, (R1)
	ADDVU	$16, R1