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tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
func.func @testAvgPoolWrongDataType(tensor<1x7x7x16xi32>) -> tensor<1x1x1x16xi32> { ^bb0(%arg0: tensor<1x7x7x16xi32>): // expected-error @+1 {{must be tensor of floating-point values}} %0 = "tf.AvgPool"(%arg0) {T = "tfdtype$DT_INT", data_format = "NHWC", ksize = [1, 7, 7, 1], padding = "VALID", strides = [1, 1, 1, 1]} : (tensor<1x7x7x16xi32>) -> tensor<1x1x1x16xi32> func.return %0 : tensor<1x1x1x16xi32> } // -----
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