heige <******@****.***> 1638149600 +0800

    ASSERT_EQ(errors::OK, status_.code()) << status_.message();

    {
      AbstractContext* ctx_raw = nullptr;
      status_ =
          BuildImmediateExecutionContext(std::get<1>(GetParam()), &ctx_raw);
      ASSERT_EQ(errors::OK, status_.code()) << status_.message();
      immediate_execution_ctx_.reset(ctx_raw);
    }

    // Computing numerical gradients with TensorFloat-32 is numerically

Refer to the dashboard [json file here](https://raw.githubusercontent.com/minio/minio/master/docs/metrics/prometheus/grafana/minio-dashboard.json).

![Grafana](https://raw.githubusercontent.com/minio/minio/master/docs/metrics/prometheus/grafana/grafana-minio.png)

  AbstractTensorHandlePtr x;
  {
    AbstractTensorHandle* x_raw = nullptr;
    status_ = TestScalarTensorHandle<float, TF_FLOAT>(
        immediate_execution_ctx_.get(), 2.0f, &x_raw);
    ASSERT_EQ(errors::OK, status_.code()) << status_.message();
    x.reset(x_raw);
  }

  AbstractTensorHandlePtr y;
  {
    AbstractTensorHandle* y_raw = nullptr;
    status_ = TestScalarTensorHandle<float, TF_FLOAT>(

            - background
            - raw_headers
            - render
            - init_headers
            - headers
            - set_cookie
            - delete_cookie

::: fastapi.responses.ORJSONResponse
    options:
        members:
            - charset
            - status_code
            - media_type
            - body
            - background
            - raw_headers
            - render

    private final byte[] raw;


    /**
     * @param type
     * @param raw
     */
    public AvPair ( int type, byte[] raw ) {
        this.type = type;
        this.raw = raw;
    }


    /**
     * @return the type
     */
    public final int getType () {
        return this.type;
    }


    /**
     * @return the raw
     */
    public final byte[] getRaw () {

import jcifs.internal.util.SMBUtil;


/**
 * @author mbechler
 *
 */
public class AvFlags extends AvPair {

    /**
     * @param raw
     */
    public AvFlags ( byte[] raw ) {
        super(AvPair.MsvAvFlags, raw);
    }


    /**
     * 
     * @param flags
     */
    public AvFlags ( int flags ) {
        this(encode(flags));
    }


    /**
     * 

            - background
            - raw_headers
            - render
            - init_headers
            - headers
            - set_cookie
            - delete_cookie

::: fastapi.responses.ORJSONResponse
    options:
        members:
            - charset
            - status_code
            - media_type
            - body
            - background
            - raw_headers
            - render

  {
    AbstractContext* ctx_raw = nullptr;
    Status s =
        BuildImmediateExecutionContext(std::get<1>(GetParam()), &ctx_raw);
    ASSERT_EQ(errors::OK, s.code()) << s.message();
    ctx.reset(ctx_raw);
  }

  AbstractTensorHandlePtr t;
  {
    AbstractTensorHandle* x_raw = nullptr;
    Status s = TestScalarTensorHandle<float, TF_FLOAT>(ctx.get(), 1.0f, &x_raw);
    ASSERT_EQ(errors::OK, s.code()) << s.message();

        byte[] enc = new byte[size];
        int pos = 0;
        for ( AvPair p : pairs ) {
            byte[] raw = p.getRaw();
            SMBUtil.writeInt2(p.getType(), enc, pos);
            SMBUtil.writeInt2(raw.length, enc, pos + 2);
            System.arraycopy(raw, 0, enc, pos + 4, raw.length);
            pos += 4 + raw.length;
        }

        // MsvAvEOL
        SMBUtil.writeInt2(AvPair.MsvAvEOL, enc, pos);