turned in to a zero-initialized buffer, and the size is initialized to 0
for `tf.EmptyTensorList` or the specified size for `tf.TensorListReserve`.
Each push will be turned into `tf.XlaDynamicUpdateSlice` with the incremented
size, and each pop will be turned into a `tf.Slice` and a copy of the buffer
with decremented size. Each `tf.TensorListSetItem` will be turned into a

    // CHECK:      metadata
    // CHECK-SAME: args
    // CHECK-SAME: shape {\0A dim {\0A size: -1\0A }\0A dim {\0A size: -1\0A }\0A dim {\0A size: 3\0A }\0A }
    func.return %0: tensor<?x?x3xi32>
  }
  func.func @_func(%arg0: tensor<?x?x3xi32>) -> tensor<?x?x3xi32> {
    func.return %arg0 : tensor<?x?x3xi32>
  }
}

// -----

// stores
(Store {t} ptr val mem) && t.Size() == 1 => (MOVBstore ptr val mem)
(Store {t} ptr val mem) && t.Size() == 2 => (MOVHstore ptr val mem)
(Store {t} ptr val mem) && t.Size() == 4 && !t.IsFloat() => (MOVWstore ptr val mem)
(Store {t} ptr val mem) && t.Size() == 8 && !t.IsFloat() => (MOVDstore ptr val mem)
(Store {t} ptr val mem) && t.Size() == 4 &&  t.IsFloat() => (FMOVSstore ptr val mem)

  // expected-error @+1 {{tfl.reshape' op requires 'shape' to have at most one dynamic dimension, but got multiple dynamic dimensions at indices 0 and 1. You need to set up the unspecified size(s) to avoid this problem, for example,setting batch size in keras model or setting unspecified input size(s) with fixed ones.}}
  %0 = "tfl.reshape"(%arg0, %cst) : (tensor<3x4xi32>, tensor<3xi32>) -> tensor<1x3x4xi32>
  func.return %0 : tensor<1x3x4xi32>
}

// -----

          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "Last Hour Failed Size [{{bucket}}]",
          "refId": "A"
        }
      ],
      "title": "Last Hour Failed Size",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },

getCacheSize(); public java.util.Map getBackingMap(); public void flush(); public Object get(Object); private Object getCacheMissed(Object, int); public Object put(Object, Object); public Object remove(Object); public boolean containsKey(Object); public int size(); public boolean isEmpty(); public boolean containsValue(Object); public void putAll(java.util.Map); public void clear(); public java.util.Set keySet(); public java.util.Collection values(); public java.util.Set entrySet(); public boolean equals(Object);...

e_bucket{}[1m])) by (le)","format":"heatmap","legendFormat":"{{le}}"}],"title":"Push Time","type":"heatmap"},{"datasource":{"type":"datasource","uid":"-- Mixed --"},"description":"Size of each xDS push.\n","gridPos":{"h":10,"w":8,"x":16,"y":14},"id":14,"interval":"1m","options":{"calculation":{"xBuckets":{"mode":"size","value":"1min"}},"cellGap":0,"color":{"mode":"scheme","scheme":"Spectral","steps":128},"yAxis":{"decimals":0,"unit":"bytes"}},"pluginVersion":"v11.0.0","targets":[{"datasource":{"...

getCacheSize(); public java.util.Map getBackingMap(); public void flush(); public Object get(Object); private Object getCacheMissed(Object, int); public Object put(Object, Object); public Object remove(Object); public boolean containsKey(Object); public int size(); public boolean isEmpty(); public boolean containsValue(Object); public void putAll(java.util.Map); public void clear(); public java.util.Set keySet(); public java.util.Collection values(); public java.util.Set entrySet(); public boolean equals(Object);...

	if skip(bt) {
		return nil
	}
	size := bt.Size.Copy(fn, skip)
	if size == nil {
		return fn(bt)
	}
	bt = &BitIntType{Size: size, Signed: bt.Signed}
	if r := fn(bt); r != nil {
		return r
	}
	return bt
}

func (bt *BitIntType) GoString() string {
	return bt.goString(0, "")
}

            Arrays.fill(buf, 'x'.code.toByte())
            var i = 0
            while (i < n) {
              sink.write(buf, 0, Math.min(buf.size, n - i))
              i += buf.size
            }
          }
        }
      }
    val response =
      getResponse(
        Request(
          url = server.url("/"),
          body = requestBody,
        ),