TF_DataType data_type, void* data, size_t len, TF_Status* status);

// Specify the server_def that enables collective ops.
// This is different to the above function in that it doesn't create remote
// contexts, and remotely executing ops is not possible. It just enables
// communication for collective ops.
TF_CAPI_EXPORT extern void TFE_EnableCollectiveOps(TFE_Context* ctx,

        out.println("<b><a class=\"plain\" href=\".\">normal</a> | <a class=\"plain\" href=\"?fmt=detail\">detailed</a></b>");
        out.println("<p><table border='0' cellspacing='0' cellpadding='0'><tr><td>");

        out.print("<A style=\"width: " + maxLen);
        out.print("; height: 18;\" HREF=\"");
        out.print(path);
        out.println("\"><b>&uarr;</b></a>");

import com.google.common.collect.SetMultimap;
import com.google.common.collect.SortedMapDifference;
import com.google.common.collect.SortedMultiset;
import com.google.common.collect.SortedSetMultimap;
import com.google.common.collect.Table;
import com.google.common.io.ByteSink;
import com.google.common.io.ByteSource;
import com.google.common.io.CharSink;
import com.google.common.io.CharSource;
import com.google.common.primitives.UnsignedInteger;

            "uid": "${DS_PROMETHEUS}"
          },
          "exemplar": true,
          "expr": "max(minio_node_drive_total{job=~\"$scrape_jobs\",server=\"$server\"})",
          "format": "table",
          "hide": false,
          "instant": true,
          "interval": "",
          "intervalFactor": 1,
          "legendFormat": "",
          "metric": "process_start_time_seconds",

     * The returned path is always absolute.
     * </p>
     * <p>
     * <strong>Scope-based Directory Resolution:</strong>
     * </p>
     * <table class="striped">
     *   <caption>Output Directory by Scope</caption>
     *   <thead>
     *     <tr>
     *       <th>Scope Parameter</th>
     *       <th>Build Configuration</th>

        return doFindEpg(_epgMap, prop);
    }

    // ===================================================================================
    //                                                                          Table Info
    //                                                                          ==========
    protected final String _tableDbName = "access_token";
    protected final String _tableDispName = "access_token";

    /**
     * The key for the option to enable tracking of line/column numbers. This option is of type
     * {@link org.apache.maven.model.InputSource} and defaults to {@code null}. Providing an input source enables
     * location tracking.
     */
    String INPUT_SOURCE = "org.apache.maven.model.io.inputSource";

    /**
     * Reads the model from the specified file.
     *

 */

/** Extracts PR from commit message and creates a GitHub Issue on Rollback of PR
  Created issue is assigned to original PR owner and reviewer.

  @param {!object}
    github enables querying for PR and also create issue using rest endpoint
    context has the commit message details in the payload
  @return {string} Returns the issue number and title
*/
module.exports = async ({github, context}) => {

	pc            int64 // virtual PC; count of Progs; doesn't advance for GLOBL or DATA.
	input         []lex.Token
	inputPos      int
	pendingLabels []string // Labels to attach to next instruction.
	labels        map[string]*obj.Prog
	toPatch       []Patch
	addr          []obj.Addr
	arch          *arch.Arch
	ctxt          *obj.Link
	firstProg     *obj.Prog
	lastProg      *obj.Prog

and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use TensorFlow in production, we have...