etcd_request_duration_seconds_bucket{operation="foo",type="bar",le="1"} 1
etcd_request_duration_seconds_bucket{operation="foo",type="bar",le="1.25"} 1
etcd_request_duration_seconds_bucket{operation="foo",type="bar",le="1.5"} 1
etcd_request_duration_seconds_bucket{operation="foo",type="bar",le="2"} 1
etcd_request_duration_seconds_bucket{operation="foo",type="bar",le="3"} 1

      apiserver_watch_cache_read_wait_seconds_bucket{resource="pods",le="1"} 1
      apiserver_watch_cache_read_wait_seconds_bucket{resource="pods",le="1.25"} 1
      apiserver_watch_cache_read_wait_seconds_bucket{resource="pods",le="1.5"} 1
      apiserver_watch_cache_read_wait_seconds_bucket{resource="pods",le="2"} 1
      apiserver_watch_cache_read_wait_seconds_bucket{resource="pods",le="3"} 1

  %1 = "quantfork.dcast"(%0) : (tensor<*x!quant.uniform<i8:f32, 5.000000e-02:-10>>) -> tensor<*xf32>
  %2 = "tf.MaxPool"(%1) {data_format = "NHWC", device = "", explicit_paddings = [], ksize = [1, 2, 2, 1], padding = "VALID", strides = [1, 2, 2, 1]} : (tensor<*xf32>) -> tensor<*xf32>
  %3 = "quantfork.qcast"(%2) {volatile} : (tensor<*xf32>) -> tensor<*x!quant.uniform<i8:f32, 5.000000e-02:-10>>

func.func @conv2d_backprop_input_with_add(%arg0: tensor<4xi32>, %arg1: tensor<3x3x1x32xf32>, %arg2: tensor<15x14x14x32xf32>) -> tensor<15x28x28x1xf32> {
  %0 = "tf.Conv2DBackpropInput"(%arg0, %arg1, %arg2) {strides = [1, 2, 2, 1], padding="SAME", dilations=[1, 1, 1, 1]}: (tensor<4xi32>, tensor<3x3x1x32xf32>, tensor<15x14x14x32xf32>) -> tensor<15x28x28x1xf32>
  %1 = "tf.Const"() {value = dense<1.000000e+00> : tensor<1xf32>} : () -> tensor<1xf32>

// Check that the body is not modified.
// CHECK: %[[REDUCE_WINDOW:.+]] = "stablehlo.reduce_window"(%[[ARG]], %[[INIT_VALUE_CONST]])
// CHECK: <{base_dilations = array<i64: 1, 2, 2, 1>, window_dilations = array<i64: 1, 2, 2, 1>, window_dimensions = array<i64: 1, 2, 2, 1>, window_strides = array<i64: 1, 2, 2, 1>}>
// CHECK: ^bb0(%[[REDUCE_ARG_0:.+]]: tensor<f32>, %[[REDUCE_ARG_1:.+]]: tensor<f32>):
// CHECK: %[[MAX:.+]] = stablehlo.maximum %[[REDUCE_ARG_0]], %[[REDUCE_ARG_1]]

            def details = args[0]
            Collection<ComponentResolutionState> candidates = details.candidates
            assert candidates*.version == ['1.2', '1.1']
            details.select(candidates.find { it.version == '1.2' })
        }
        1 * conflictResolver.select(!null) >> { args ->
            def details = args[0]
            Collection<ComponentResolutionState> candidates = details.candidates

  %rst = "tf.Conv2D"(%arg, %fq) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", dilations = [1, 2, 3, 1], padding = "SAME", strides = [1, 4, 5, 1]} : (tensor<256x32x32x3xf32>, tensor<3x3x3x16xf32>) -> tensor<256x8x7x16xf32>
  func.return %rst : tensor<256x8x7x16xf32>

// CHECK-DAG: %[[CONSTANT:.*]] = arith.constant dense<0.000000e+00> : tensor<16xf32>

gopkg.in/yaml.v3 v3.0.1 h1:fxVm/GzAzEWqLHuvctI91KS9hhNmmWOoWu0XTYJS7CA=
gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
k8s.io/klog/v2 v2.120.1 h1:QXU6cPEOIslTGvZaXvFWiP9VKyeet3sawzTOvdXb4Vw=
k8s.io/klog/v2 v2.120.1/go.mod h1:3Jpz1GvMt720eyJH1ckRHK1EDfpxISzJ7I9OYgaDtPE=
k8s.io/kube-openapi v0.0.0-20240228011516-70dd3763d340/go.mod h1:yD4MZYeKMBwQKVht279WycxKyM84kkAx2DPrTXaeb98=

  EXPECT_THAT(statistics.value().histogram_statistics().hist_freq(),
              ElementsAre(1, 0, 3, 5, 7, 6, 5, 1));

  collector.Collect(
      /*min=*/-5.f, /*max=*/5.f, /*histogram=*/{1, 2, 2, 1});

  statistics = collector.GetStatistics();
  EXPECT_TRUE(statistics.has_value());
  EXPECT_EQ(statistics.value().histogram_statistics().lower_bound(), -8.f);

  %rst = "tf.Conv2D"(%arg, %fq) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", dilations = [1, 2, 3, 1], padding = "SAME", strides = [1, 4, 5, 1]} : (tensor<256x32x32x3xf32>, tensor<3x3x3x16xf32>) -> tensor<256x8x7x16xf32>
  func.return %rst : tensor<256x8x7x16xf32>

// CHECK-DAG: %[[CONSTANT:.*]] = arith.constant dense<0.000000e+00> : tensor<16xf32>