load("//tensorflow:tensorflow.default.bzl", "filegroup")
load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")

# Experimental ops. These will eventually be replaced by machine-generated versions.
package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    licenses = ["notice"],
)

cc_library(
    name = "array_ops",
    srcs = [
        "array_ops.cc",
    ],
    hdrs = [
        "array_ops.h",

  if (!status->status.ok()) return false;
  *input = {oper, 0};
  return true;
}

// Copies `src_graph` into `dst_graph`. Any node in `src_graph` with input
// `src_inputs[i]` will have that input replaced with `dst_inputs[i]`.  `prefix`
// will be prepended to copied node names. `control_deps` are nodes in
// `dst_graph` that the copied `src_graph` nodes will have control dependencies

#include "tensorflow/core/platform/file_system_helper.h"
#include "tsl/platform/errors.h"

// TODO(b/139060984): After all filesystems are converted, all calls to
// methods from `FileSystem` will have to be replaced to calls to private
// methods here, as part of making this class a singleton and the only way to
// register/use filesystems.

namespace tensorflow {

using UniquePtrTo_TF_Status =

TF_CAPI_EXPORT extern void TF_ImportGraphDefOptionsSetUniquifyPrefix(
    TF_ImportGraphDefOptions* opts, unsigned char uniquify_prefix);

// Set any imported nodes with input `src_name:src_index` to have that input
// replaced with `dst`. `src_name` refers to a node in the graph to be imported,
// `dst` references a node already existing in the graph being imported into.
// `src_name` is copied and has no lifetime requirements.

  int num_retvals = 0;
  TFE_Execute(op, nullptr, &num_retvals, status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_DeleteOp(op);

  // The device of var_handle1 is remote device, which was replaced during
  // cluster update. Removing resource with invalid device should fail
  // gracefully (i.e., with error status) instead of crashing with segfaults.
  op = TFE_NewOp(ctx, "DestroyResourceOp", status);

   APPENDIX: How to apply the Apache License to your work.

      To apply the Apache License to your work, attach the following
      boilerplate notice, with the fields enclosed by brackets "[]"
      replaced with your own identifying information. (Don't include
      the brackets!)  The text should be enclosed in the appropriate
      comment syntax for the file format. We also recommend that a

    *   `tf.contrib.distributions.MultivariateNormalFull` replaced by
        `tf.contrib.distributions.MultivariateNormalTriL`.
    *   `tf.contrib.distributions.MultivariateNormalCholesky` replaced by
        `tf.contrib.distributions.MultivariateNormalTriL`
    *   `tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev`
        replaced by
        `tf.contrib.distributions.MultivariateNormalDiagWithSoftplusScale`

        "@dlpack",
    ],
)

# TODO(karllessard): only used by //tensorflow/core:mobile_srcs_only_runtime
# right now, remove this public rule when no longer needed (it should be
# replaced by TF Lite)
filegroup(
    name = "srcs",
    srcs = glob(
        [
            "*.cc",
            "*.h",
        ],
        exclude = [
            "c_api_experimental.cc",