v2_reader_->Seek(kHeaderEntryKey);
  for (v2_reader_->Next(); v2_reader_->Valid(); v2_reader_->Next()) {
    if (filtered_keys.count(string(v2_reader_->key())) > 0) continue;
    CHECK(entry.ParseFromArray(v2_reader_->value().data(),
                               v2_reader_->value().size()))
        << entry.InitializationErrorString();
    string key(v2_reader_->key());

 private:
  // Uses "v2_reader_" to build "var name -> shape" and "var name -> data type"
  // maps; both owned by caller.
  // REQUIRES: "v2_reader_ != nullptr && v2_reader_.status().ok()".
  std::pair<std::unique_ptr<TensorSliceReader::VarToShapeMap>,
            std::unique_ptr<TensorSliceReader::VarToDataTypeMap> >
  BuildV2VarMaps();

  // Invariant: exactly one of "reader_" and "v2_reader_" is non-null.

//tensorflow/tools/pip_package:win_pip_package_marker
//tensorflow/core:image_testdata
//tensorflow/core/lib/lmdb:lmdb_testdata
//tensorflow/core/lib/lmdb/testdata:lmdb_testdata
//tensorflow/core/kernels/cloud:bigquery_reader_ops
//tensorflow/python:extra_py_tests_deps
//tensorflow/python:mixed_precision
//tensorflow/python:tf_optimizer
//tensorflow/python:compare_test_proto_py
//tensorflow/python/framework:test_ops_2

        "@local_tsl//tsl/platform:test",
        "@local_tsl//tsl/platform:test_main",
    ],
)

tf_cuda_library(
    name = "checkpoint_reader",
    srcs = ["checkpoint_reader.cc"],
    hdrs = ["checkpoint_reader.h"],
    visibility = ["//visibility:public"],
    deps = [
        ":tf_status",
        ":tf_status_helper",
        "//tensorflow/core:framework",

                                     " but actual rank is ", rank);
    return;
  }

  if (num_dims == 0) {
    // Output shape is a scalar.
    return;
  }

  // Rank is greater than 0, so fill in the values, if known, and
  // -1 for unknown values.
  for (int i = 0; i < num_dims; ++i) {
    auto dim = ic->Dim(shape, i);
    int64_t value = -1;
    if (ic->ValueKnown(dim)) {

)

filegroup(
    name = "pywrap_headers_monitoring_reader",
    srcs = [
        "c_api_experimental_reader.h",
        "tfe_monitoring_reader_internal.h",
    ],
    visibility = ["//tensorflow:__subpackages__"],
)

filegroup(
    name = "headers_monitoring_reader",
    srcs = [
        "c_api_experimental_reader.h",
    ],
    visibility = ["//tensorflow:__subpackages__"],
)

  ls -t *.whl | tail -n +2 | xargs rm
fi

# Check if size is too big. TFCI_WHL_SIZE_LIMIT is in find's format, which can be
# 'k' for kilobytes, 'M' for megabytes, or 'G' for gigabytes, and the + to indicate
# "anything greater than" is added by the script.
if [[ "$TFCI_WHL_SIZE_LIMIT_ENABLE" == "1" ]] && [[ -n "$(find . -iname "*.whl" -size "+$TFCI_WHL_SIZE_LIMIT")" ]]; then
  echo "Error: Generated wheel is too big! Limit is $TFCI_WHL_SIZE_LIMIT"

    return;
  }

  TF_RandomAccessFile reader;
  NewRandomAccessFile(filesystem, path, &reader, status);
  if (TF_GetCode(status) != TF_OK) return;
  char* buffer = static_cast<char*>(plugin_memory_allocate(metadata->size()));
  int64_t read =
      tf_random_access_file::Read(&reader, 0, metadata->size(), buffer, status);
  tf_random_access_file::Cleanup(&reader);
  if (TF_GetCode(status) != TF_OK) return;

        "//tensorflow/c/experimental/ops",
        "//tensorflow/c:c_api_experimental",
        "//tensorflow/c:c_api_internal",
        "//tensorflow/c:c_api_no_xla",
        "//tensorflow/c:checkpoint_reader",
        "//tensorflow/c:tensor_interface",
        "//tensorflow/c:tf_status_helper",
        "//tensorflow/c:tf_tensor_internal",
        "//tensorflow/cc/saved_model:loader",

        `tf.acosh`, `tf.add`, `tf.as_string`, `tf.asin`, `tf.asinh`, `tf.atan`,
        `tf.atan2`, `tf.atanh`, `tf.cos`, `tf.cosh`, `tf.equal`, `tf.exp`,
        `tf.floor`, `tf.greater`, `tf.greater_equal`, `tf.less`,
        `tf.less_equal`, `tf.log`, `tf.logp1`, `tf.logical_and`,
        `tf.logical_not`, `tf.logical_or`, `tf.maximum`, `tf.minimum`,
        `tf.not_equal`, `tf.sin`, `tf.sinh`, `tf.tan`