Change to TFL::NoValue op

PiperOrigin-RevId: 426001505
Change-Id: I331fc4cf79d4e622386348eedabcf9df57eb8ec9

Author: jpienaar

tensorflow/compiler/mlir/lite/experimental/tac/tests/device-transform-gpu.mlir

@@ -132,7 +132,7 @@ func @sub(%arg0: tensor<1x384x384x3xf32>, %arg1: tensor<3xf32>) -> tensor<1x384x
 // -----
 
 func @ensureBiasForConv2d(%arg0: tensor<128x32x32x3xf32>, %arg1: tensor<32x1x1x3xf32>) -> tensor<128x32x32x32xf32> {
-  %cst = constant unit
+  %cst = "tfl.no_value"() {value = unit} : () -> none
   %0 = "tfl.conv_2d"(%arg0, %arg1, %cst) {dilation_h_factor = 1 : i32, dilation_w_factor = 1 : i32, fused_activation_function = "NONE", padding = "VALID", stride_h = 1 : i32, stride_w = 1 : i32} : (tensor<128x32x32x3xf32>, tensor<32x1x1x3xf32>, none) -> tensor<128x32x32x32xf32>
   return %0 : tensor<128x32x32x32xf32>
 }

tensorflow/compiler/mlir/lite/tests/const-fold.mlir

@@ -760,7 +760,7 @@ func @ConstantFoldFullyConnectedLarge() -> tensor<1024xf32> {
 func @ConstantFoldFullyConnectedNoBias() -> tensor<1024xf32> {
   %cst_input = arith.constant dense<1.0> : tensor<512xf32>
   %cst_weights = arith.constant dense<2.0> : tensor<1024x512xf32>
-  %cst_bias = constant unit
+  %cst_bias = "tfl.no_value"() {value = unit} : () -> none
 
   %0 = "tfl.fully_connected" (%cst_input, %cst_weights, %cst_bias) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<512xf32>, tensor<1024x512xf32>, none) -> tensor<1024xf32>
 

tensorflow/compiler/mlir/lite/tests/get-arithmetic-count.mlir

@@ -120,7 +120,7 @@ func @testAveragePool2D(tensor<1x10x10x3xf32>) -> tensor<1x10x10x3xf32> {
 }
 
 func @testTransposeConv(%arg0: tensor<4xi32>, %arg1: tensor<32x4x4x128xf32>, %arg2: tensor<1x32x42x128xf32>) -> tensor<1x64x84x32xf32> {
-  %cst = constant unit
+  %cst = "tfl.no_value"() {value = unit} : () -> none
   // CHECK: _arithmetic_count = 176160768 : i64
   %0 = "tfl.transpose_conv"(%arg0, %arg1, %arg2, %cst) {padding = "SAME", stride_h = 2 : i32, stride_w = 2 : i32} : (tensor<4xi32>, tensor<32x4x4x128xf32>, tensor<1x32x42x128xf32>, none) -> tensor<1x64x84x32xf32>
   return %0 : tensor<1x64x84x32xf32>

tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/fully_connected.mlir

@@ -72,7 +72,7 @@ func @main(tensor<40x37xf32>, tensor<40x37xf32>) -> tensor<40x40xf32> {
   // CHECK-NEXT:  signature_defs: [ ]
   // CHECK-NEXT:}
 
-  %cst = constant unit
+  %cst = "tfl.no_value"() {value = unit} : () -> none
   %0:2 = "tfl.fully_connected"(%arg0, %arg1, %cst) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<40x37xf32>, tensor<40x37xf32>, none) -> (tensor<40x40xf32>, tensor<40x40xf32>)
   return %0 : tensor<40x40xf32>
 }

tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/fully_connected_v2.mlir

@@ -72,7 +72,7 @@ func @main(tensor<40x37xf32>, tensor<40x37xf32>) -> tensor<40x40xf32> {
   // CHECK-NEXT:  signature_defs: [ ]
   // CHECK-NEXT:}
 
-  %cst = constant unit
+  %cst = "tfl.no_value"() {value = unit} : () -> none
   %0:2 = "tfl.fully_connected"(%arg0, %arg1, %cst) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "SHUFFLED4x16INT8"} : (tensor<40x37xf32>, tensor<40x37xf32>, none) -> (tensor<40x40xf32>, tensor<40x40xf32>)
   return %0 : tensor<40x40xf32>
 }

tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/lstm_quantized.mlir

@@ -1,7 +1,7 @@
 // RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s
 
 func @main(%arg0: tensor<1x528x!quant.uniform<i8:f32, 0.037248000502586365:-19>>, %arg1: tensor<2048x528x!quant.uniform<i8<-127:127>:f32, 0.059801999479532242>>, %arg2: tensor<2048x528x!quant.uniform<i8<-127:127>:f32, 0.031925998628139496>>, %arg3: tensor<2048x528x!quant.uniform<i8<-127:127>:f32, 0.056272000074386597>>, %arg4: tensor<2048x528x!quant.uniform<i8<-127:127>:f32, 0.063763998448848724>>, %arg5: tensor<2048x640x!quant.uniform<i8<-127:127>:f32, 0.013358999975025654>>, %arg6: tensor<2048x640x!quant.uniform<i8<-127:127>:f32, 0.022830000147223473>>, %arg7: tensor<2048x640x!quant.uniform<i8<-127:127>:f32, 0.032276000827550888>>, %arg8: tensor<2048x640x!quant.uniform<i8<-127:127>:f32, 0.035427000373601913>>, %arg9: tensor<2048x!quant.uniform<i32:f32, 4.2675782196965883E-7>>, %arg10: tensor<2048x!quant.uniform<i32:f32, 1.0742187583900886E-7>>, %arg11: tensor<2048x!quant.uniform<i32:f32, 1.6406249869760359E-7>>, %arg12: tensor<2048x!quant.uniform<i32:f32, 1.523437447303877E-7>>, %arg13: tensor<640x2048x!quant.uniform<i8<-127:127>:f32, 0.021174000576138496>>, %arg14: tensor<640x!quant.uniform<i32:f32, 1.601389680352559E-4>>, %arg15: tensor<2048x!quant.uniform<i16:f32, 4.3700000969693065E-4>>, %arg16: tensor<2048x!quant.uniform<i16:f32, 1.1000000085914508E-4>>, %arg17: tensor<2048x!quant.uniform<i16:f32, 1.6799999866634607E-4>>, %arg18: tensor<2048x!quant.uniform<i16:f32, 1.55999994603917E-4>>, %arg19: tensor<1x640x!quant.uniform<i8:f32, 0.09671100229024887:10>>, %arg20: tensor<1x2048x!quant.uniform<i16:f32, 4.8799999058246613E-4>>) -> tensor<1x640x!quant.uniform<i8:f32, 0.09671100229024887:10>> {
-    %cst = constant unit
+    %cst = "tfl.no_value"() {value = unit} : () -> none
     %0 = "tfl.lstm"(%arg0, %arg1, %arg2, %arg3, %arg4, %arg5, %arg6, %arg7, %arg8, %cst, %cst, %cst, %arg9, %arg10, %arg11, %arg12, %arg13, %arg14, %arg19, %arg20, %arg15, %arg16, %arg17, %arg18) ({}) {cell_clip = 1.000000e+01 : f32, fused_activation_function = "TANH", input_to_input_intermediate = tensor<0x!quant.uniform<i16:f32, 0.0049890000373125076>>, input_to_forget_intermediate = tensor<0x!quant.uniform<i16:f32, 0.0078849997371435165>>, input_to_cell_intermediate = tensor<0x!quant.uniform<i16:f32, 0.0087630003690719604>>, input_to_output_intermediate = tensor<0x!quant.uniform<i16:f32, 0.0057529998011887074>>, effective_hidden_scale_intermediate = tensor<0x!quant.uniform<i8<-127:127>:f32, 0.0075630000792443752:2>>, kernel_type = "FULL", proj_clip = 0.01 : f32} : (tensor<1x528x!quant.uniform<i8:f32, 0.037248000502586365:-19>>, tensor<2048x528x!quant.uniform<i8<-127:127>:f32, 0.059801999479532242>>, tensor<2048x528x!quant.uniform<i8<-127:127>:f32, 0.031925998628139496>>, tensor<2048x528x!quant.uniform<i8<-127:127>:f32, 0.056272000074386597>>, tensor<2048x528x!quant.uniform<i8<-127:127>:f32, 0.063763998448848724>>, tensor<2048x640x!quant.uniform<i8<-127:127>:f32, 0.013358999975025654>>, tensor<2048x640x!quant.uniform<i8<-127:127>:f32, 0.022830000147223473>>, tensor<2048x640x!quant.uniform<i8<-127:127>:f32, 0.032276000827550888>>, tensor<2048x640x!quant.uniform<i8<-127:127>:f32, 0.035427000373601913>>, none, none, none, tensor<2048x!quant.uniform<i32:f32, 4.2675782196965883E-7>>, tensor<2048x!quant.uniform<i32:f32, 1.0742187583900886E-7>>, tensor<2048x!quant.uniform<i32:f32, 1.6406249869760359E-7>>, tensor<2048x!quant.uniform<i32:f32, 1.523437447303877E-7>>, tensor<640x2048x!quant.uniform<i8<-127:127>:f32, 0.021174000576138496>>, tensor<640x!quant.uniform<i32:f32, 1.601389680352559E-4>>, tensor<1x640x!quant.uniform<i8:f32, 0.09671100229024887:10>>, tensor<1x2048x!quant.uniform<i16:f32, 4.8799999058246613E-4>>, tensor<2048x!quant.uniform<i16:f32, 4.3700000969693065E-4>>, tensor<2048x!quant.uniform<i16:f32, 1.1000000085914508E-4>>, tensor<2048x!quant.uniform<i16:f32, 1.6799999866634607E-4>>, tensor<2048x!quant.uniform<i16:f32, 1.55999994603917E-4>>) -> tensor<1x640x!quant.uniform<i8:f32, 0.09671100229024887:10>>
   return %0 : tensor<1x640x!quant.uniform<i8:f32, 0.09671100229024887:10>>
 // CHECK: {

tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/optional.mlir

@@ -1,7 +1,7 @@
 // RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s
 
 func @main(%arg0: tensor<40x37xf32>, %arg1: tensor<40x37xf32>) -> tensor<40x40xf32> {
-  %0 = constant unit
+  %0 = "tfl.no_value"() {value = unit} : () -> none
   %1:2 = "tfl.fully_connected"(%arg0, %arg1, %0) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<40x37xf32>, tensor<40x37xf32>, none) -> (tensor<40x40xf32>, tensor<40x40xf32>)
   return %1 : tensor<40x40xf32>
 }

tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/transpose_conv_optional.mlir

@@ -73,7 +73,7 @@ func @main(%arg0: tensor<4xi32>, %arg1: tensor<32x4x4x128xf32>, %arg2: tensor<1x
 // CHECK-NEXT:  signature_defs: [ ]
 // CHECK-NEXT:}
 
-  %cst = constant unit
+  %cst = "tfl.no_value"() {value = unit} : () -> none
   %0 = "tfl.transpose_conv"(%arg0, %arg1, %arg2, %cst) {padding = "SAME", stride_h = 2 : i32, stride_w = 2 : i32} : (tensor<4xi32>, tensor<32x4x4x128xf32>, tensor<1x32x42x128xf32>, none) -> tensor<1x64x84x32xf32>
   return %0 : tensor<1x64x84x32xf32>
 }