table {
    border-collapse: collapse;
}

table.history, table.test-details {
    margin-top: 20px;
    font-size: 10pt;
}

th, td {
    white-space: nowrap;
    padding-top: 5px;
    padding-bottom: 5px;
    padding-left: 12px;
    padding-right: 12px;
    text-align: left;
    vertical-align: bottom;
}

th.numeric, td.numeric {
    text-align: right;
}

.empty {
    color: #a0a0a0;

    clear:left;
    float:left;
    padding:6px;
    text-transform:uppercase;
}
.sub-nav .sub-nav-list {
    padding-top:4px;
}
ul.nav-list {
    display:block;
    margin:0 25px 0 0;
    padding:0;
}
ul.sub-nav-list {
    float:left;
    margin:0 25px 0 0;
    padding:0;
}
ul.nav-list li {
    list-style:none;
    float:left;
    padding: 5px 6px;
    text-transform:uppercase;

    font-size: 120%;
}

ul.tabLinks {
    padding-left: 0;
    padding-top: 10px;
    padding-bottom: 10px;
    overflow: auto;
    min-width: 800px;
    width: auto !important;
    width: 800px;
}

ul.tabLinks li {
    float: left;
    height: 100%;
    list-style: none;
    padding-left: 10px;
    padding-right: 10px;
    padding-top: 5px;
    padding-bottom: 5px;
    margin-bottom: 0;

  strides = [1, op.get_attr('stride_w'), op.get_attr('stride_h'), 1]
  padding = op.get_attr('padding')
  shape_0, shape_1 = tf.shape_n([op.inputs[0], op.inputs[1]])
  return [
      tf.compat.v1.nn.conv2d_backprop_input(
          shape_0,
          op.inputs[1],
          grad,
          strides=strides,
          padding=padding,
          dilations=dilations,
          data_format='NHWC'),

    return failure();

  ElementsAttr padding;
  if (matchPattern(op.getPadding(), m_Constant(&padding))) {
    const ShapedType &padding_ty = cast<ShapedType>(padding.getType());
    if (padding_ty.getRank() != 2 || padding_ty.getDimSize(1) != 2) {
      return op.emitOpError()
             << "expects padding to be a matrix with minor dimension 2, got "
             << padding.getShapedType().getShape();
    }
  }

  string data_format;
  string padding;
  auto attrs = op.output(0).node()->attrs();
  TF_RETURN_IF_ERROR(GetNodeAttr(attrs, "data_format", &data_format));
  TF_RETURN_IF_ERROR(GetNodeAttr(attrs, "padding", &padding));
  auto dx = MaxPoolGradV2(scope, op.input(0), op.output(0), grad_inputs[0],
                          op.input(1), op.input(2), padding,
                          MaxPoolGradV2::DataFormat(data_format));

-2,.px-2{padding-right:.5rem!important}.pb-2,.py-2{padding-bottom:.5rem!important}.pl-2,.px-2{padding-left:.5rem!important}.p-3{padding:1rem!important}.pt-3,.py-3{padding-top:1rem!important}.pr-3,.px-3{padding-right:1rem!important}.pb-3,.py-3{padding-bottom:1rem!important}.pl-3,.px-3{padding-left:1rem!important}.p-4{padding:1.5rem!important}.pt-4,.py-4{padding-top:1.5rem!important}.pr-4,.px-4{padding-right:1.5rem!important}.pb-4,.py-4{padding-bottom:1.5rem!important}.pl-4,.px-4{padding-left:1.5r...

-2,.px-2{padding-right:.5rem!important}.pb-2,.py-2{padding-bottom:.5rem!important}.pl-2,.px-2{padding-left:.5rem!important}.p-3{padding:1rem!important}.pt-3,.py-3{padding-top:1rem!important}.pr-3,.px-3{padding-right:1rem!important}.pb-3,.py-3{padding-bottom:1rem!important}.pl-3,.px-3{padding-left:1rem!important}.p-4{padding:1.5rem!important}.pt-4,.py-4{padding-top:1.5rem!important}.pr-4,.px-4{padding-right:1.5rem!important}.pb-4,.py-4{padding-bottom:1.5rem!important}.pl-4,.px-4{padding-left:1.5r...

    $explicit_paddings, IsDataFormatNHWC:$data_format, $dilations),
  (LiftAsTFPartitionedCall<"composite_conv2d_fn">
    (ArgumentList $input, $filter),
    (ResultList $res),
    (NamedAttributeList
      (NamedAttr<"strides"> $strides),
      (NamedAttr<"use_cudnn_on_gpu"> $use_cudnn_on_gpu),
      (NamedAttr<"padding"> $padding),

	body.toc2 {
		padding-left: 20em;
		padding-right: 0;
	}

	#toc.toc2 {
		width: 20em;
	}

	#toc.toc2 #toctitle {
		font-size: 1.375em;
	}

	#toc.toc2>ul {
		font-size: 0.95em;
	}

	#toc.toc2 ul ul {
		padding-left: 1.25em;
	}

	body.toc2.toc-right {
		padding-left: 0;
		padding-right: 20em;
	}
}