func.return %0 : tensor<40x40xf32>

// CHECK-LABEL: func @main(%arg0: tensor<40x37xf32>, %arg1: tensor<40x37xf32>) -> tensor<40x40xf32>
// CHECK:      %[[CONST:[0-9]+]] = "tfl.pseudo_const"() <{value = dense<1.000000e+00> : tensor<40xf32>}>

// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s

func.func @main() -> tensor<3x2xi32> {
  %0 = "tfl.pseudo_const" () {value = dense<0> : tensor<3x2xi32>, tfl.is_variable} : () -> tensor<3x2xi32> loc("variable")
  func.return %0 : tensor<3x2xi32>
}

// CHECK:      {
// CHECK-NEXT:     version: 3,
// CHECK-NEXT:     operator_codes: [ ],
// CHECK-NEXT:     subgraphs: [ {
// CHECK-NEXT:       tensors: [ {

// CHECK-NEXT:     } ]
// CHECK-NEXT:     signature_defs: [ ]
// CHECK-NEXT:   }
// CHECK-EMPTY:

^bb0(%arg0: tensor<4 x f32>, %arg1: tensor<4 x i8>, %arg2: tensor<4 x f32>, %arg3: tensor<4 x f32>):
  %0 = "tfl.pseudo_const" () {value = dense<0.0> : tensor<4xf32>} : () -> tensor<4xf32> loc("Const")

  // CHECK-NEXT:  buffer: 6
  // CHECK-NEXT:  } ]
  // CHECK-NEXT:  signature_defs: [ ]
  // CHECK-NEXT:}

  %0 = "tfl.pseudo_const" () {value = dense<-1.23697901> : tensor<32xf32>} : () -> tensor<32xf32> loc("Const")

// CHECK-NEXT:  metadata: [ {
// CHECK-NEXT:  name: "min_runtime_version",
// CHECK-NEXT:  buffer: 6
// CHECK-NEXT:  } ]
// CHECK-NEXT:  signature_defs: [ ]
// CHECK-NEXT:}

  %0 = "tfl.pseudo_const" () {value = dense<1.0> : tensor<4xf32>} : () -> tensor<4xf32> loc("Const")
  %1 = "tfl.mul"(%arg0, %0) {fused_activation_function = "NONE"} : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32> loc("mul")

// CHECK-NEXT:   } ],
// CHECK-NEXT:   metadata: [ {
// CHECK-NEXT:   name: "min_runtime_version",
// CHECK-NEXT:   buffer: 4
// CHECK-NEXT:   } ]
// CHECK-NEXT:   signature_defs: [ ]
// CHECK-NEXT: }

  %0 = "tfl.pseudo_const" () {value = dense<[6]> : tensor<1xi32>} : () -> tensor<1xi32> loc("Const")
  %1 = "tfl.reshape" (%arg0, %0) : (tensor<3x2xi32>, tensor<1xi32>) -> tensor<6xi32>
  func.return %1 : tensor<6xi32>

  // CHECK-NEXT:       name: "min_runtime_version",
  // CHECK-NEXT:       buffer: 4
  // CHECK-NEXT:     } ],
  // CHECK-NEXT:     signature_defs: [  ]
  // CHECK-NEXT: }
  // CHECK-EMPTY:

  %0 = "tfl.pseudo_const" () {value = dense<[[-5.0, 10000.0], [150.0, 10.0], [5.0, 100.0]]> : tensor<3x2xf32>} : () -> tensor<3x2xf32> loc("Const")

    %0 = "tfl.pseudo_const"() {value = dense<0.962260901> : tensor<1xf32>} : () -> tensor<1xf32>
    %1 = func.call @func_0_GPU_FLOAT(%arg0, %0) {tac.device = "GPU", tac.inference_type = "FLOAT", tac.interface_name = "func_0"} : (tensor<1x200x200x200xf32>, tensor<1xf32>) -> tensor<1x200x200x200xf32>
    %2 = "tfl.pseudo_const"() {value = dense<0.895973444> : tensor<1xf32>} : () -> tensor<1xf32>

  // CHECK-NEXT:  buffer: 6
  // CHECK-NEXT:  } ]
  // CHECK-NEXT:  signature_defs: [ ]
  // CHECK-NEXT:}

  %0 = "tfl.pseudo_const" () {value = dense<-1.23697901> : tensor<32xf32>} : () -> tensor<32xf32> loc("Const")

  func.return %1 : tensor<256x8x7x3xf32>

  // CHECK-DAG: %[[w:.*]] = "tfl.pseudo_const"(){{.*}}dense<3.000000e+00> : tensor<3x3x3x3xf32>
  // CHECK-DAG: %[[cst:.*]] = "tfl.pseudo_const"(){{.*}}dense<[1.500000e+00, 3.000000e+00, 4.500000e+00]> : tensor<3xf32>