}

func.func @conv3d_transpose(%arg0: tensor<2x5x6x8x2xf32>, %arg1: tensor<1x2x2x3x2xf32>, %arg2: tensor<5xi64>) -> tensor<?x?x?x?x?xf32> {
  %0 = "tf.Conv3DBackpropInputV2"(%arg2, %arg1, %arg0) {data_format = "NDHWC", dilations = [1, 1, 1, 1, 1], padding = "VALID", strides = [1, 2, 2, 2, 1]} : (tensor<5xi64>, tensor<1x2x2x3x2xf32>, tensor<2x5x6x8x2xf32>) -> tensor<?x?x?x?x?xf32>
  func.return %0 : tensor<?x?x?x?x?xf32>

}

// -----

func.func @testEqualOpIncompatibleShapeTrue(%x: tensor<5xf32>, %y: tensor<4xf32>) -> tensor<5xi1> {
  // expected-error @+1 {{operands don't have broadcast-compatible shapes}}
  %0 = "tf.Equal"(%x, %y) {incompatible_shape_error = true} : (tensor<5xf32>, tensor<4xf32>) -> tensor<5xi1>
  func.return %0 : tensor<5xi1>
}

// -----

// CHECK-LABEL: testEqualOpIncompatibleShapeFalse

jeinEBJr3NsC/Q2QJ/VKmgvp+xRxuKTHJiVmxVijmp0vWg8AWfkmuE4p3hXQbbqM
k5yxrk1n60ONhim2L4VXriEvCE7X2OXhTmBls5Ufr7aqIgPMikwjScCXwz8E8qI8
UxyAhnjeJwMYBU8TuwBImSd4LBHoQQIDAQABMA0GCSqGSIb3DQEBCwUAA4GBAIab
DRG6FbF9kL9jb/TDHkbVBk+sl/Pxi4/XjuFyIALlARgAkeZcPmL5tNW1ImHkwsHR
zWE77kJDibzd141u21ZbLsKvEdUJXjla43bdyMmEqf5VGpC3D4sFt3QVH7lGeRur
x5Wlq1u3YDL/j6s1nU2dQ3ySB/oP7J+vQ9V4QeM+
-----END CERTIFICATE-----`

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