-not-fixed.layout-fixed .wrapper .sidebar{margin-top:0}}.layout-footer-fixed .wrapper .control-sidebar{bottom:0}.layout-footer-fixed .wrapper .main-footer{bottom:0;left:0;position:fixed;right:0;z-index:1032}.layout-footer-not-fixed .wrapper .main-footer{position:static}.layout-footer-not-fixed .wrapper .content-wrapper{margin-bottom:0}.layout-footer-fixed .wrapper .control-sidebar{bottom:0}.layout-footer-fixed .wrapper .main-footer{bottom:0;left:0;position:fixed;right:0;z-index:1032}.layout-footer-fixed...

display: flex;\n    -ms-flex-align: center;\n    align-items: center;\n    -ms-flex-pack: center;\n    justify-content: center;\n    width: auto;\n    padding-left: 0;\n  }\n  .form-inline .form-check-input {\n    position: relative;\n    -ms-flex-negative: 0;\n    flex-shrink: 0;\n    margin-top: 0;\n    margin-right: 0.25rem;\n    margin-left: 0;\n  }\n  .form-inline .custom-control {\n    -ms-flex-align: center;\n    align-items: center;\n    -ms-flex-pack: center;\n    justify-content: center;\n...

                              - message: filter.responseHeaderModifier must be specified
                                  for ResponseHeaderModifier filter.type
                                rule: '!(!has(self.responseHeaderModifier) && self.type
                                  == ''ResponseHeaderModifier'')'
                              - message: filter.requestMirror must be nil if the filter.type

display: flex;\n    -ms-flex-align: center;\n    align-items: center;\n    -ms-flex-pack: center;\n    justify-content: center;\n    width: auto;\n    padding-left: 0;\n  }\n  .form-inline .form-check-input {\n    position: relative;\n    -ms-flex-negative: 0;\n    flex-shrink: 0;\n    margin-top: 0;\n    margin-right: 0.25rem;\n    margin-left: 0;\n  }\n  .form-inline .custom-control {\n    -ms-flex-align: center;\n    align-items: center;\n    -ms-flex-pack: center;\n    justify-content: center;\n...

concentrick Circles, as those were; and when my Eye was over against the
center of the concavity of the Speculum, (that is, 5 Feet and 10 Inches
distant from the Speculum,) their common center was in a right Line with
that center of concavity, and with the hole in the Window. But in other
postures of my Eye their center had other positions. They appear'd by
the Light of the Clouds propagated to the Speculum through the hole in

  let summary = [{
Computes a 2-D convolution given 4-D `input` and `filter` tensors.
  }];

  let description = [{
Given an input tensor of shape `[batch, in_height, in_width, in_channels]`
and a filter / kernel tensor of shape
`[filter_height, filter_width, in_channels, out_channels]`, this op
performs the following:

1. Flattens the filter to a 2-D matrix with shape

                                  description: The destination_port value used by
                                    a filter chain's match condition.
                                  type: integer
                                filter:
                                  description: The name of a specific filter to apply
                                    the patch to.
                                  properties:

                                    a filter chain's match condition.
                                  maximum: 4294967295
                                  minimum: 0
                                  type: integer
                                filter:
                                  description: The name of a specific filter to apply
                                    the patch to.

                                    a filter chain's match condition.
                                  maximum: 4294967295
                                  minimum: 0
                                  type: integer
                                filter:
                                  description: The name of a specific filter to apply
                                    the patch to.

* The LMDB kernels have been changed to return an error. This is in preparation for completely removing them from TensorFlow. The LMDB dependency that these kernels are bringing to TensorFlow has been dropped, thus making the build slightly faster and more secure.

### Major Features and Improvements

*   `tf.lite`

    *   Added 16-bit and 64-bit float type support for built-in op `cast`.