# Description:
# TensorFlow is a computational framework, primarily for use in machine
# learning applications.

load("@rules_cc//cc:cc_import.bzl", "cc_import")

# buildifier: disable=out-of-order-load
# copybara:comment_begin(oss-only)
load("//tensorflow:strict.default.bzl", "py_strict_library")

# copybara:comment_end
# buildifier: enable=out-of-order-load
load("@bazel_skylib//lib:selects.bzl", "selects")

patent license (a) in connection with copies of the covered work
conveyed by you (or copies made from those copies), or (b) primarily
for and in connection with specific products or compilations that
contain the covered work, unless you entered into that arrangement,
or that patent license was granted, prior to 28 March 2007.

  Nothing in this License shall be construed as excluding or limiting

             'compilation to reduce the compilation time?'),
      'Eigen strong inline overridden.', 'Not overriding eigen strong inline, '
      'some compilations could take more than 20 mins.'):
    # Due to a known MSVC compiler issue
    # https://github.com/tensorflow/tensorflow/issues/10521
    # Overriding eigen strong inline speeds up the compiling of

// - export functions to set Config fields

// --------------------------------------------------------------------------
// The new graph construction API, still under development.

// Represents a computation graph.  Graphs may be shared between sessions.
// Graphs are thread-safe when used as directed below.
typedef struct TF_Graph TF_Graph;

// Return a new graph object.
TF_CAPI_EXPORT extern TF_Graph* TF_NewGraph(void);

  TF_Operation* plusB = Add(plus2, b, graph, s, "plusB");
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  // Setup a session and a partial run handle.  The partial run will allow
  // computation of A + 2 + B in two phases (calls to TF_SessionPRun):
  // 1. Feed A and get (A+2)
  // 2. Feed B and get (A+2)+B
  TF_SessionOptions* opts = TF_NewSessionOptions();
  TF_Session* sess = TF_NewSession(graph, opts, s);

     * expected</i>, but not absolutely required, to have the following properties:
     *
     * <ul>
     *   <li>Its execution does not cause any observable side effects.
     *   <li>The computation is <i>consistent with equals</i>; that is, {@link Objects#equals
     *       Objects.equals}{@code (k1, k2) &&} {@link Objects#equals Objects.equals}{@code (v1,

     * expected</i>, but not absolutely required, to have the following properties:
     *
     * <ul>
     *   <li>Its execution does not cause any observable side effects.
     *   <li>The computation is <i>consistent with equals</i>; that is, {@link Objects#equals
     *       Objects.equals}{@code (k1, k2) &&} {@link Objects#equals Objects.equals}{@code (v1,

    * Function is linear between points. Resource utilization is defined as one minus ratio of total amount of resource requested by pods on node and node's capacity (scaled to 100).
    * Final utilization used for computation is arithmetic mean of cpu utilization and memory utilization.
    * Function is disabled by default and can be enabled via scheduler policy config file.

patent license (a) in connection with copies of the covered work
conveyed by you (or copies made from those copies), or (b) primarily
for and in connection with specific products or compilations that
contain the covered work, unless you entered into that arrangement,
or that patent license was granted, prior to 28 March 2007.

  Nothing in this License shall be construed as excluding or limiting

- The scheduler is now optimized to throttle computational tasks involved with node selection. ([#67555](https://github.com/kubernetes/kubernetes/pull/67555), [@wgliang](https://github.com/wgliang)) Courtesy of SIG API Machinery, and SIG Scheduling