(max-width:959px){.uk-form-horizontal .uk-form-label{display:block;margin-bottom:5px}}@media (min-width:960px){.uk-form-horizontal .uk-form-label{width:200px;margin-top:7px;float:left}.uk-form-horizontal .uk-form-controls{margin-left:215px}.uk-form-horizontal .uk-form-controls-text{padding-top:7px}}.uk-form-icon{position:absolute;top:0;bottom:0;left:0;width:40px;display:inline-flex;justify-content:center;align-items:center;color:#999}.uk-form-icon:hover{color:#666}.uk-form-icon:not(a):not(button):not(inp...

					expectHeadless: true,
				},
			},
		},
	}

	for _, otc := range testCases {
		t.Run(otc.name, func(t *testing.T) {

			// Do this in the outer loop for performance.
			storage, _, server := newStorage(t, otc.clusterFamilies)
			defer server.Terminate(t)
			defer storage.Store.DestroyFunc()

			for _, itc := range otc.cases {
				t.Run(itc.name+"__@L"+itc.line, func(t *testing.T) {

behalf of all Contributors all liability for damages, including direct, indirect, special, incidental and consequential damages, such as lost profits; iii) states that any provisions which differ from this Agreement are offered by that Contributor alone and not by any other party; and iv) states that source code for the Program is available from such Contributor, and informs licensees how to obtain it in a reasonable manner on or through a medium customarily used for software exchange. When the Program...

  %0 = "tf.Const"() {value = dense<"Arguments to from_row_splits do not form a valid RaggedTensor:zero"> : tensor<!tf_type.string>} : () -> tensor<!tf_type.string>
  %1 = "tf.Const"() {value = dense<"Condition x == y did not hold element-wise:"> : tensor<!tf_type.string>} : () -> tensor<!tf_type.string>

s,n=Math.min(e.length,a.length),d=Math.abs(e.length-a.length),r=0;for(s=0;s<n;s++)(t&&e[s]!==a[s]||!t&&g(e[s])!==g(a[s]))&&r++;return r+d}function w(e){!1===l.suppressDeprecationWarnings&&"undefined"!=typeof console&&console.warn&&console.warn("Deprecation warning: "+e)}function t(n,d){var r=!0;return L(function(){if(null!=l.deprecationHandler&&l.deprecationHandler(null,n),r){for(var e,a=[],t=0;t<arguments.length;t++){if(e="","object"==typeof arguments[t]){for(var s in e+="\n["+t+"] ",arguments[0])e+=s+": "+arguments[0][s]+",...

func.func @unhandled_partitioned_call(%arg0: tensor<*xi32>, %arg1: tensor<*xi32>) -> (tensor<i32>, tensor<i32>) {
  // The argument types don't match the parameter types for the
  // pcall_multi_in_out function. That's fine for a PartitionedCallOp but not
  // for a standard CallOp, so this op can't be lowered.
  // CHECK: "tf.PartitionedCall"

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/

// Code generated by conversion-gen. DO NOT EDIT.

package v1

import (
	url "net/url"
	unsafe "unsafe"

// CHECK:           return %[[VAL_3]] : tensor<1xf32>
// CHECK:         }
func.func @convert_reduce_to_max(%arg0: tensor<1x256xf32>) -> tensor<1xf32> {
  // "0xFF800000" represents -INF for f32.
  %0 = mhlo.constant dense<0xFF800000> : tensor<f32>
  %1 = "mhlo.reduce"(%arg0, %0) ({
  ^bb0(%arg1: tensor<f32>, %arg2: tensor<f32>):
    %2 = mhlo.maximum %arg1, %arg2 : tensor<f32>

const (
	// Version is the Unicode edition from which the tables are derived.
	Version = "12.0.0"

	// MaxTransformChunkSize indicates the maximum number of bytes that Transform
	// may need to write atomically for any Form. Making a destination buffer at
	// least this size ensures that Transform can always make progress and that
	// the user does not need to grow the buffer on an ErrShortDst.
	MaxTransformChunkSize = 35 + maxNonStarters*4
)

const (
	// Version is the Unicode edition from which the tables are derived.
	Version = "9.0.0"

	// MaxTransformChunkSize indicates the maximum number of bytes that Transform
	// may need to write atomically for any Form. Making a destination buffer at
	// least this size ensures that Transform can always make progress and that
	// the user does not need to grow the buffer on an ErrShortDst.
	MaxTransformChunkSize = 35 + maxNonStarters*4
)