// CHECK: %[[RES:.*]] = chlo.broadcast_add %[[LHS_2]], %[[RHS_2]] {broadcast_dimensions = array<i64: 1>} :
  // CHECK-SAME: (tensor<3x2x!quant.uniform<i32:f32, 2.000000e+00:4>>, tensor<2x!quant.uniform<i32:f32, 2.000000e+00:4>>)
  // CHECK-SAME: -> tensor<3x2x!quant.uniform<i32:f32, 2.000000e+00:4>>
  %result = "tf.UniformQuantizedAdd"(
    %input1_qint, %input2_qint,
    %input_scales, %input_zps,
    %bias_scales, %bias_zps,

  // CHECK-DAG: %[[CONVERT_1:.*]] = mhlo.bitcast_convert %[[LHS]] : (tensor<?x!quant.uniform<i8:f32, 2.000000e+00:4>>) -> tensor<?xi8>
  // CHECK-DAG: %[[CONVERT_2:.*]] = mhlo.bitcast_convert %[[CONVERT_1]] : (tensor<?xi8>) -> tensor<?x!quant.uniform<i8:f32, 2.000000e+00:4>>

func.func @foldBroadcastInDimBeforeMulOp_bcast_dim_2D_float() -> (tensor<1x2x2x3xf32>) {
  // CHECK-DAG: %[[RES:.*]] = mhlo.constant dense<{{\[\[\[\[}}1.000000e+00, 4.000000e+00, 9.000000e+00], [4.000000e+00, 1.000000e+01, 1.800000e+01]], {{\[\[}}2.800000e+01, 4.000000e+01, 5.400000e+01], [4.000000e+01, 5.500000e+01, 7.200000e+01]]]]> : tensor<1x2x2x3xf32>

        # CHECK: value = dense<{{\[\[}}1.000000e+00, 2.000000e+00, 3.000000e+00], [4.000000e+00, 5.000000e+00, 6.000000e+00]]> : tensor<2x3xf64>
      }
    }
  }
}
node {
  name: "x"
  op: "Const"
  device: "/device:CPU:0"
  attr {
    key: "dtype"
    value {
      type: DT_FLOAT

// Copyright 2023 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

//go:build darwin

TEXT ·Mach_task_self(SB),0,$0-4
	MOVD	$libc_mach_task_self_(SB), R0
	MOVD	(R0), R0
	MOVW	R0, ret+0(FP)

    runs-on: ubuntu-latest
    steps:
    - name: Dump GitHub context
      env:
        GITHUB_CONTEXT: ${{ toJson(github) }}
      run: echo "$GITHUB_CONTEXT"
    - uses: docker://tiangolo/label-approved:0.0.4
      with:
        token: ${{ secrets.FASTAPI_LABEL_APPROVED }}
        config: >
          {
            "approved-1":
              {
                "number": 1,
                "await_label": "awaiting-review"

// Copyright 2023 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

//go:build darwin

TEXT ·Mach_task_self(SB),0,$0-4
	MOVQ	$libc_mach_task_self_(SB), AX
	MOVQ	(AX), AX
	MOVL	AX, ret+0(FP)

  func.return %1 : tensor<256x8x7x16xf16>

  // CHECK-DAG: %cst = arith.constant dense<[2.500000e+00, 3.500000e+00, 4.500000e+00, 5.500000e+00, 6.500000e+00, 7.500000e+00, 8.500000e+00, 9.500000e+00, 1.050000e+01, 1.150000e+01, 1.250000e+01, 1.350000e+01, 1.450000e+01, 1.550000e+01, 1.650000e+01, 1.750000e+01]> : tensor<16xf16>

  func.return %1 : tensor<256x8x7x3xf32>

  // CHECK: %[[weight:.*]] = arith.constant dense<3.000000e+00> : tensor<3x3x3x3xf32>
  // CHECK: %[[bias:.*]] = arith.constant dense<[1.500000e+00, 3.000000e+00, 4.500000e+00]>
  // CHECK: %[[conv:.*]] = "tfl.conv_2d"(%arg0, %[[weight]], %[[bias]])
  // CHECK: return %[[conv]] : tensor<256x8x7x3xf32>

// CHECK-DAG: %[[input_19:.*]] = "quantfork.stats"({{.*}}) <{layerStats = dense<[-2.000000e+00, 4.000000e+00]> : tensor<2xf32>}> : (tensor<1x2xf32>) -> tensor<1x2xf32>

// CHECK: "tfl.unidirectional_sequence_lstm"({{.*}}, %[[input_18]], %[[input_19]], %{{[0-9]+}}, %{{[0-9]+}}, %{{[0-9]+}}, %{{[0-9]+}})