// CHECK:      "mhlo.gather"({{.*}}) <{
  // CHECK-SAME:   dimension_numbers =
  // CHECK-SAME:     offset_dims = [1, 2]
  // CHECK-SAME:     collapsed_slice_dims = [0]
  // CHECK-SAME:     start_index_map = [0]
  // CHECK-SAME:     index_vector_dim = 1
  // CHECK-SAME:   indices_are_sorted = false
  // CHECK-SAME:   slice_sizes = dense<[1, 4, 128]>
  // CHECK-SAME: (tensor<2x4x128xf32>, tensor<2x1xi32>) -> tensor<2x4x128xf32>

  func.return %3 : tensor<4x8xf32>
}

// CHECK-LABEL:   func @select(
// CHECK-SAME:                 %[[VAL_0:.*]]: tensor<2xi1>,
// CHECK-SAME:                 %[[VAL_1:.*]]: tensor<2xi32>,
// CHECK-SAME:                 %[[VAL_2:.*]]: tensor<2xi32>) -> tensor<2xi32> {

<pre>
[...]Point{{1.5, -3.5}, {0, 0}}     // same as [...]Point{Point{1.5, -3.5}, Point{0, 0}}
[][]int{{1, 2, 3}, {4, 5}}          // same as [][]int{[]int{1, 2, 3}, []int{4, 5}}
[][]Point{{{0, 1}, {1, 2}}}         // same as [][]Point{[]Point{Point{0, 1}, Point{1, 2}}}
map[string]Point{"orig": {0, 0}}    // same as map[string]Point{"orig": Point{0, 0}}
map[Point]string{{0, 0}: "orig"}    // same as map[Point]string{Point{0, 0}: "orig"}

  // CHECK: %[[q:.*]] = "tfl.quantize"
  // CHECK-SAME: <{qtype = tensor<40x!quant.uniform<i8:f32, 0.024986599940879671:92>>}> : (tensor<40xf32>) -> tensor<40x!quant.uniform<i8:f32, 0.024986599940879671:92>>
  // CHECK: %[[dq:.*]] = "tfl.dequantize"
  // CHECK-SAME: (tensor<40x!quant.uniform<i8:f32, 0.024986599940879671:92>>) -> tensor<40xf32>
  // CHECK: %[[fc:.*]] = "tfl.fully_connected"

	// if both fields are non-empty, they must have the same value. For backwards
	// compatibility, when namespace isn't specified in dataSourceRef,
	// both fields (dataSource and dataSourceRef) will be set to the same
	// value automatically if one of them is empty and the other is non-empty.
	// When namespace is specified in dataSourceRef,
	// dataSource isn't set to the same value and must be empty.

functionality of the dataSource field and as such if both fields are non-empty, they must have the same value. For backwards compatibility, when namespace isn't specified in dataSourceRef, both fields (dataSource and dataSourceRef) will be set to the same value automatically if one of them is empty and the other is non-empty. When namespace is specified in dataSourceRef, dataSource isn't set to the same value and must be empty. There are three important differences between dataSource and dataSourceRef:...

	// if both fields are non-empty, they must have the same value. For backwards
	// compatibility, when namespace isn't specified in dataSourceRef,
	// both fields (dataSource and dataSourceRef) will be set to the same
	// value automatically if one of them is empty and the other is non-empty.
	// When namespace is specified in dataSourceRef,
	// dataSource isn't set to the same value and must be empty.

        loc, pooled_type, pooled, divisor, scalar_broadcast_dims);
  } else {
    assert(op.getPadding() == "SAME");
    // For SAME padding, only original entries that contributed to a window
    // are counted for the average of this window, not padded entries.

    // Build all-ones tensor of same shape as the original input.
    ElementsAttr splat = hlo::getSplat(&rewriter, orig_input_type, 1);

  // if both fields are non-empty, they must have the same value. For backwards
  // compatibility, when namespace isn't specified in dataSourceRef,
  // both fields (dataSource and dataSourceRef) will be set to the same
  // value automatically if one of them is empty and the other is non-empty.
  // When namespace is specified in dataSourceRef,
  // dataSource isn't set to the same value and must be empty.

                            only workload endpoints that are matched by both selectors
                            will be selected by the rule. \n For NetworkPolicy, an
                            empty NamespaceSelector implies that the Selector is limited
                            to selecting only workload endpoints in the same namespace