// CHECK: "mhlo.batch_norm_inference"({{.*}}, %arg1, %arg2, %arg3, %arg4) <{epsilon = 1.000000e-03 : f32, feature_index = 3 : i64}> : (tensor<8x8x8x8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>) -> tensor<8x8x8x8xf32>

     * The value is, e.g. 0.5 <br>
     * comment: boost
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getQueryBoostTitle();

    /**
     * Get the value for the key 'query.boost.title' as {@link java.math.BigDecimal}. <br>
     * The value is, e.g. 0.5 <br>
     * comment: boost

- github.com/google/pprof: [cbba55b → 94a9f03](https://github.com/google/pprof/compare/cbba55b...94a9f03)
- github.com/googleapis/gax-go/v2: [v2.0.5 → v2.1.1](https://github.com/googleapis/gax-go/v2/compare/v2.0.5...v2.1.1)
- github.com/imdario/mergo: [v0.3.5 → v0.3.6](https://github.com/imdario/mergo/compare/v0.3.5...v0.3.6)

}

// CHECK-LABEL: fuseSubIntoConv2d
func.func @fuseSubIntoConv2d(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<16x3x3x3xf32>) -> tensor<256x32x32x16xf32> {
  %cst = arith.constant dense<0.5> : tensor<16xf32>
  %cst_0 = arith.constant dense<[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0]> : tensor<16xf32>

acity:({theme:i})=>i("opacity"),ringColor:({theme:i})=>({DEFAULT:i("colors.blue.500","#3b82f6"),...i("colors")}),ringOffsetColor:({theme:i})=>i("colors"),ringOffsetWidth:{0:"0px",1:"1px",2:"2px",4:"4px",8:"8px"},ringOpacity:({theme:i})=>({DEFAULT:"0.5",...i("opacity")}),ringWidth:{DEFAULT:"3px",0:"0px",1:"1px",2:"2px",4:"4px",8:"8px"},rotate:{0:"0deg",1:"1deg",2:"2deg",3:"3deg",6:"6deg",12:"12deg",45:"45deg",90:"90deg",180:"180deg"},saturate:{0:"0",50:".5",100:"1",150:"1.5",200:"2"},scale:{0:"0"...

  %cst = arith.constant dense<1> : tensor<i32>
  %cst_0 = arith.constant dense<0> : tensor<i32>
  %cst_1 = arith.constant dense<1000> : tensor<i32>
  %0:5 = "mhlo.while"(%cst_0, %cst, %cst_1, %arg0 , %arg1) ({
  ^bb0(%arg2: tensor<i32>, %arg3: tensor<i32>, %arg4: tensor<i32>, %arg5: tensor<1x256xf32>, %arg6: tensor<1xf32>):

a:focus,.uk-navbar-dropdown-nav .uk-nav-sub a:hover{color:#666}.uk-navbar-dropdown-nav .uk-nav-sub li.uk-active>a{color:#333}.uk-navbar-dropbar{background:#fff}.uk-navbar-dropbar-slide{position:absolute;z-index:980;left:0;right:0;box-shadow:0 5px 7px rgba(0,0,0,.05)}.uk-navbar-container>.uk-container .uk-navbar-left{margin-left:-15px;margin-right:-15px}.uk-navbar-container>.uk-container .uk-navbar-right{margin-right:-15px}.uk-navbar-dropdown-grid>*{position:relative}.uk-navbar-dropdown-grid>:not(.uk-first-col...

The predeclared value <code>nil</code> cannot be used to initialize a variable
with no explicit type.
</p>

<pre>
var d = math.Sin(0.5)  // d is float64
var i = 42             // i is int
var t, ok = x.(T)      // t is T, ok is bool
var n = nil            // illegal
</pre>

<p>

* Update docs related to Uvicorn to use new `--reload` option from version `0.5.x`. PR [#74](https://github.com/tiangolo/fastapi/pull/74).

* Update `isort` imports and scripts to be compatible with newer versions. PR [#75](https://github.com/tiangolo/fastapi/pull/75).

## 0.7.1