- sanjoy
# filesystem path
filesystem_path:
   - tensorflow/c/experimental/filesystem
# security path
security_path:
   - tensorflow/security
# words checklist
segfault_memory:
   - segfault
   - memory leaks
# assignees
filesystem_security_assignee:
   - mihaimaruseac
   
# Cuda Comment
cuda_comment: >
   From the template it looks like you are installing **TensorFlow** (TF) prebuilt binaries:

    bounds when loading a specially crafted `SavedModel`
    ([CVE-2020-26271](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-26271))
*   Prevents memory leaks in loading `SavedModel`s that import functions
*   Updates `libjpeg-turbo` to `2.0.5` to handle
    [CVE-2020-13790](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13790).
*   Updates `junit` to `4.13.1` to handle

research](https://scholar.google.com/scholar?q=gpu+side+channel) shows that it
might be possible to use side channel attacks on the GPU to leak data from other
running models or processes in the same system. GPUs can also have
implementation bugs that might allow attackers to leave malicious code running
and leak or tamper with applications from other users. Please report
vulnerabilities to the vendor of the affected hardware accelerator.

# )
# copybara:uncomment_end

licenses(["notice"])

exports_files([
    "LICENSE",
    # The leakr files are used by //third_party/cloud_tpu and
    # //third_party/tensorboard/google:copybara_config_test.
    "leakr_badwords.dic",
    "leakr_badfiles.dic",
    "leakr_file_type_recipe.ftrcp",
])

# copybara:comment_begin(oss-only)
TENSORFLOW_API_INIT_FILES_V2 = (

  auto gcs_file = static_cast<GCSFile*>(filesystem->plugin_filesystem);
  char* temp_file_name_c_str = TF_GetTempFileName("");
  std::string temp_file_name(temp_file_name_c_str);  // To prevent memory-leak
  free(temp_file_name_c_str);

  if (!gcs_file->compose) {
    auto gcs_status =
        gcs_file->gcs_client.DownloadToFile(bucket, object, temp_file_name);
    TF_SetStatusFromGCSStatus(gcs_status, status);

#include "tensorflow/c/tf_status.h"
#include "tensorflow/c/tf_tensor.h"
#include "tensorflow/c/tf_tstring.h"

// --------------------------------------------------------------------------
// C API for TensorFlow.
//
// The API leans towards simplicity and uniformity instead of convenience
// since most usage will be by language specific wrappers.
//
// Conventions:
// * We use the prefix TF_ for everything in the API.