rpm2cpio "glibc-2.17-317.el7.src.rpm" |cpio -idmv
tar -xvzf "glibc-2.17-c758a686.tar.gz" --strip 1
tar -xvzf "glibc-2.17-c758a686-releng.tar.gz" --strip 1
sed -i '/patch0060/d' glibc.spec
/rpm-patch.sh "glibc.spec"
rm -f "glibc-2.17-317.el7.src.rpm" "glibc-2.17-c758a686.tar.gz" "glibc-2.17-c758a686-releng.tar.gz"
patch -p1 < /gcc9-fixups.patch
patch -p1 < /stringop_trunc.patch
cd ../glibc-build

TF_CAPI_EXPORT extern void TFE_ContextUpdateServerDefWithTimeout(
    TFE_Context* ctx, int keep_alive_secs, const void* proto, size_t proto_len,
    int64_t init_timeout_in_ms, TF_Status* status);

// This API is for experimental usage and may be subject to change.
TF_CAPI_EXPORT extern void TFE_ContextSetServerDefWithTimeout(
    TFE_Context* ctx, int keep_alive_secs, const void* proto, size_t proto_len,
    int64_t init_timeout_in_ms, TF_Status* status,

                                                   int keep_alive_secs,
                                                   const void* proto,
                                                   size_t proto_len,
                                                   TF_Status* status) {
  TFE_ContextSetServerDefWithTimeoutAndRetries(
      ctx, keep_alive_secs, proto, proto_len, /*init_timeout_in_ms=*/0,

        useful to regenerate in a single call the compiled training function
        when any `.trainable` attribute of any model's layer has changed.
    *   Models now have a `save_spec` property which contains the `TensorSpec`
        specs for calling the model. This spec is automatically saved when the
        model is called for the first time.
*   `tf.linalg`:
    *   Add `CompositeTensor` as a base class to `LinearOperator`.
*   `tf.lite`:

    return;
  }
  status->status = coord_agent->WaitAtBarrier(
      barrier_id, absl::Milliseconds(barrier_timeout_in_ms), {});
}

void TFE_InitializeLocalOnlyContext(TFE_Context* ctx, int keep_alive_secs,
                                    const void* proto, size_t proto_len,
                                    TF_Status* status) {
  tensorflow::ServerDef server_def;
  if (!server_def.ParseFromArray(proto, proto_len)) {

#         "nomsan",
#         "nosan",
#         "notsan",
#         "noubsan",
#     ],
#     deps = [":copybara_config"],
# )
#
# action_config_test(
#     name = "build_cleaner_spec_test",
#     src = "build_cleaner_spec.textproto",
# )
# copybara:uncomment_end

licenses(["notice"])

exports_files([
    "LICENSE",
    # The leakr files are used by //third_party/cloud_tpu and

// and is re-computed by the runtime.
inline void TF_ImportGraphDefOptionsSetPropagateDeviceSpec(
    TF_ImportGraphDefOptions* opts, unsigned char propagate_device_spec) {
  opts->opts.propagate_device_spec = propagate_device_spec;
}

}  // end namespace tensorflow

    EXPECT_EQ(offset, 0);
    num_requests++;
    memset(buffer, 'x', n);
    notification.Notify();
    // Wait for other thread to issue read.
    Env::Default()->SleepForMicroseconds(100000);  // 0.1 secs
    TF_SetStatus(status, TF_OK, "");
    return n;
  };
  tf_gcs_filesystem::RamFileBlockCache cache(block_size, block_size, 0,
                                             fetcher);

  // on remote tasks will be considered stale and garbage collected after
  // `keep_alive_secs` of inactivity.
  virtual Status SetOrUpdateServerDef(const ServerDef& server_def,
                                      bool reset_context, int keep_alive_secs,
                                      int64_t init_timeout_in_ms, int retries,

// ServerDef must be up when the context is created.
TF_CAPI_EXPORT extern void TFE_ContextSetServerDef(TFE_Context* ctx,
                                                   int keep_alive_secs,
                                                   const void* proto,
                                                   size_t proto_len,
                                                   TF_Status* status);