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   *
   * <p>The function is applied lazily, invoked when needed. This is necessary for the returned map
   * to be a view, but it means that the function will be applied many times for bulk operations
   * like {@link Map#containsValue} and {@code Map.toString()}. For this to perform well, {@code
   * function} should be fast. To avoid lazy evaluation when the returned map doesn't need to be a

   *
   * <p>The function is applied lazily, invoked when needed. This is necessary for the returned map
   * to be a view, but it means that the function will be applied many times for bulk operations
   * like {@link Map#containsValue} and {@code Map.toString()}. For this to perform well, {@code
   * function} should be fast. To avoid lazy evaluation when the returned map doesn't need to be a

    SameOperandsAndResultsScale]> {
  let summary = "Min operator";
  let description = [{
    Element-wise min operation.
  }];

  let arguments = (
    ins TFL_TensorOf<[F32, TFL_Int32Or64, QI8, QUI8, QI16]>:$lhs,
    TFL_TensorOf<[F32, TFL_Int32Or64, QI8, QUI8, QI16]>:$rhs
  );

  let results = (outs
    TFL_TensorOf<[F32, TFL_Int32Or64, QI8, QUI8, QI16]>:$min
  );

  let hasFolder = 1;

			expectedPodPatches: 1,
			expectedReady:      ptr.To[int32](0),
		},
		"too many active pods": {
			parallelism:        2,
			completions:        5,
			backoffLimit:       6,
			activePods:         3,
			expectedDeletions:  1,
			expectedActive:     2,
			expectedPodPatches: 1,
			expectedReady:      ptr.To[int32](0),
		},
		"too many active pods; PodReplacementPolicy enabled": {
			parallelism:             2,

// CHECK: %[[MIN1:.+]] = "tfl.minimum"(%[[BITCAST1]], %[[MAX1]]) : (tensor<1xi64>, tensor<1xi64>) -> tensor<1xi64>
// CHECK: %[[BITCAST2:.+]] = "tfl.bitcast"(%[[ARG2]]) : (tensor<i64>) -> tensor<1xi64>
// CHECK: %[[MIN2:.+]] = "tfl.minimum"(%[[BITCAST2]], %[[MAX2]]) : (tensor<1xi64>, tensor<1xi64>) -> tensor<1xi64>