Drop more --dump-input-on-failure from FileCheck commands

This is a debug only option. Its presence does not affect test execution. Its functionality is made default by https://reviews.llvm.org/D81422 The option is no longer available. PiperOrigin-RevId: 315742913 Change-Id: Ie52ae57abe5fed324ce13f4b218cc031c8795dcb
2020-06-10 12:24:20 -07:00 · 2020-06-10 12:24:20 -07:00 · e66dabe79d
commit e66dabe79d
parent c99a6fba17
101 changed files with 103 additions and 103 deletions
--- a/tensorflow/compiler/aot/tests/test_error_message.lit.pbtxt
+++ b/tensorflow/compiler/aot/tests/test_error_message.lit.pbtxt
@ -1,5 +1,5 @@
-# RUN: not tfcompile --graph=%s --config=%s.config.pbtxt --mlir_components=Bridge --debug_info=%s.debug.pbtxt 2>&1 | FileCheck %s -dump-input-on-failure
-# RUN: not tfcompile --graph=%s --config=%s.config.pbtxt --mlir_components=None 2>&1 | FileCheck -check-prefix=OLD %s -dump-input-on-failure
+# RUN: not tfcompile --graph=%s --config=%s.config.pbtxt --mlir_components=Bridge --debug_info=%s.debug.pbtxt 2>&1 | FileCheck %s
+# RUN: not tfcompile --graph=%s --config=%s.config.pbtxt --mlir_components=None 2>&1 | FileCheck -check-prefix=OLD %s

 # Checks the error message produced by tfcompile with mlir_component
 # Checks that source debug information is used in the output error message and
--- a/tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_per_channel.pbtxt
+++ b/tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_per_channel.pbtxt
@ -1,4 +1,4 @@
-# RUN: tf_tfl_translate -tf-input-arrays=input -tf-input-shapes=1,1,1,256 -tf-input-data-types=DT_FLOAT -tf-inference-type=DT_QINT8  -tf-input-min-values='-33.614346' -tf-input-max-values='21.54917' -tf-output-arrays=output %s -o - --output-mlir 2>&1 | FileCheck --check-prefix=MLIR %s --dump-input-on-failure
+# RUN: tf_tfl_translate -tf-input-arrays=input -tf-input-shapes=1,1,1,256 -tf-input-data-types=DT_FLOAT -tf-inference-type=DT_QINT8  -tf-input-min-values='-33.614346' -tf-input-max-values='21.54917' -tf-output-arrays=output %s -o - --output-mlir 2>&1 | FileCheck --check-prefix=MLIR %s
 # RUN: tf_tfl_translate -tf-input-arrays=input -tf-input-shapes=1,1,1,256 -tf-input-data-types=DT_FLOAT -tf-inference-type=DT_QINT8  -tf-input-min-values='-33.614346' -tf-input-max-values='21.54917' -tf-output-arrays=output %s -o - | flatbuffer_to_string - | FileCheck %s

 node {
--- a/tensorflow/compiler/mlir/lite/tests/end2end/graph_with_placeholder_with_default.pbtxt
+++ b/tensorflow/compiler/mlir/lite/tests/end2end/graph_with_placeholder_with_default.pbtxt
@ -1,4 +1,4 @@
-# RUN: tf_tfl_translate -tf-input-arrays=unranked -tf-input-shapes=1,8,8,2 -tf-input-data-types=DT_INT32 -tf-output-arrays=unranked,static,static_10 %s -o - --output-mlir | FileCheck %s --dump-input-on-failure
+# RUN: tf_tfl_translate -tf-input-arrays=unranked -tf-input-shapes=1,8,8,2 -tf-input-data-types=DT_INT32 -tf-output-arrays=unranked,static,static_10 %s -o - --output-mlir | FileCheck %s

 node {
  name: "tf.Const"
--- a/tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/custom_op.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/custom_op.mlir
@ -1,4 +1,4 @@
-// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_translate --tflite-flatbuffer-to-mlir - -o - | FileCheck --dump-input-on-failure %s
+// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_translate --tflite-flatbuffer-to-mlir - -o - | FileCheck %s

 func @main(%arg0: tensor<32x4x4x128xf32>, %arg1: tensor<1x32x42x128xf32>, %arg2: tensor<4xi32>) -> tensor<1x64x84x32xf32> {
  %0 = "tfl.custom"(%arg0, %arg1, %arg2) {custom_code = "Convolution2DTransposeBias", custom_option = opaque<"tfl", "0x010000000200000002000000"> : tensor<12xi8>} : (tensor<32x4x4x128xf32>, tensor<1x32x42x128xf32>, tensor<4xi32>) -> tensor<1x64x84x32xf32>
--- a/tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/external_constant.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/external_constant.mlir
@ -1,4 +1,4 @@
-// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_translate --tflite-flatbuffer-to-mlir --use-external-constant - -o - | FileCheck --dump-input-on-failure %s
+// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_translate --tflite-flatbuffer-to-mlir --use-external-constant - -o - | FileCheck %s
 // Ensure that `tfl.external_const` is imported when the flag `-use-external-constant` is enabled.

 func @main(tensor<40x37xf32>, tensor<40x37xf32>) -> tensor<40x40xf32> {
--- a/tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/import_json.json
+++ b/tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/import_json.json
@ -1,4 +1,4 @@
-// RUN: json_to_flatbuffer %p/test_schema.fbs %s | flatbuffer_translate --tflite-flatbuffer-to-mlir -o - | FileCheck --dump-input-on-failure %s
+// RUN: json_to_flatbuffer %p/test_schema.fbs %s | flatbuffer_translate --tflite-flatbuffer-to-mlir -o - | FileCheck %s

 // CHECK: %cst = constant unit
 // CHECK: %[[RES0:.*]] = "tfl.conv_2d"(%arg0, %arg1, %cst) {dilation_h_factor = 1 : i32, dilation_w_factor = 1 : i32, fused_activation_function = "NONE", padding = "SAME", stride_h = 0 : i32, stride_w = 0 : i32} : (tensor<256x32x32x3xf32>, tensor<16x3x3x3xf32>, none) -> tensor<256x32x32x16xf32>
--- a/tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/input_arrays.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/input_arrays.mlir
@ -1,4 +1,4 @@
-// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_translate -input-arrays=squared_difference --experimental-prune-unreachable-nodes-unconditionally --tflite-flatbuffer-to-mlir - -o - | FileCheck --dump-input-on-failure %s
+// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_translate -input-arrays=squared_difference --experimental-prune-unreachable-nodes-unconditionally --tflite-flatbuffer-to-mlir - -o - | FileCheck %s
 // Tests -input-arrays flag.

 func @main(%arg0: tensor<4xf32>) -> tensor<4xf32> {
--- a/tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/lstm.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/lstm.mlir
@ -1,4 +1,4 @@
-// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_translate --tflite-flatbuffer-to-mlir - -o - | FileCheck --dump-input-on-failure %s
+// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_translate --tflite-flatbuffer-to-mlir - -o - | FileCheck %s
 // Ensure lstm roundtrip exactly

 func @main(%arg0: tensor<1x4xf32>, %arg1: tensor<4x4xf32>, %arg2: tensor<4x4xf32>, %arg3: tensor<4x4xf32>, %arg4: tensor<4x4xf32>, %arg5: tensor<4x4xf32>, %arg6: tensor<4x4xf32>, %arg7: tensor<4x4xf32>, %arg8: tensor<4x4xf32>, %arg9: tensor<4xf32>, %arg10: tensor<4xf32>, %arg11: tensor<4xf32>, %arg12: tensor<1x4xf32>, %arg13: tensor<4xf32>, %arg14: tensor<4xf32>, %arg15: tensor<4xf32>, %arg16: tensor<4x4xf32>, %arg17: tensor<4xf32>, %arg18: tensor<4xf32>, %arg19: tensor<4xf32>, %arg20: tensor<4xf32>, %arg21: tensor<4xf32>) -> tensor<1x4xf32> {
--- a/tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/many_attribute_op.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/many_attribute_op.mlir
@ -1,4 +1,4 @@
-// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_translate --tflite-flatbuffer-to-mlir - -o - | FileCheck --dump-input-on-failure %s
+// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_translate --tflite-flatbuffer-to-mlir - -o - | FileCheck %s

 // Confirm a wide array of attribute survives the round-trip
 func @main(tensor<1x6x6x16xf32>) -> tensor<1x1x1x16xf32> {
--- a/tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/pruning_function_input_as_output.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/pruning_function_input_as_output.mlir
@ -1,4 +1,4 @@
-// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_translate -output-arrays=mul,div,exp --experimental-prune-unreachable-nodes-unconditionally --tflite-flatbuffer-to-mlir - -o - | FileCheck --dump-input-on-failure %s
+// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_translate -output-arrays=mul,div,exp --experimental-prune-unreachable-nodes-unconditionally --tflite-flatbuffer-to-mlir - -o - | FileCheck %s

 // CHECK: (%[[ARG:.*]]: tensor<4xf32>) -> (tensor<4xf32>, tensor<4xf32>, tensor<4xf32>)
 func @main(%arg0: tensor<4xf32>) -> tensor<4xf32> attributes {tf.entry_function = {inputs = "mul"}} {
--- a/tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/unranked_function_output.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/unranked_function_output.mlir
@ -1,4 +1,4 @@
-// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_translate --tflite-flatbuffer-to-mlir - -o - | FileCheck --dump-input-on-failure %s
+// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_translate --tflite-flatbuffer-to-mlir - -o - | FileCheck %s

 // This test is to test for unranked function output from input, the output type should be compatible with input type.

--- a/tensorflow/compiler/mlir/lite/tests/lower-static-tensor-list.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/lower-static-tensor-list.mlir
@ -1,4 +1,4 @@
-// RUN: tf-opt -tfl-lower-static-tensor-list %s | FileCheck %s --dump-input-on-failure
+// RUN: tf-opt -tfl-lower-static-tensor-list %s | FileCheck %s

 // CHECK-LABEL: tensorlistConst
 func @tensorlistConst(%arg0 : tensor<1xi32>) -> tensor<2x3xi32> {
--- a/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/basic_lstm.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/basic_lstm.mlir
@ -1,4 +1,4 @@
-// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck --dump-input-on-failure %s
+// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s

 func @main(tensor<1x384xf32>, tensor<1x96xf32>, tensor<384x480xf32>, tensor<384xf32>, tensor<1x96xf32>) -> tensor<1x96xf32> {
 // CHECK: {
--- a/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/custom_op_with_tflite_op.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/custom_op_with_tflite_op.mlir
@ -1,4 +1,4 @@
-// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -emit-custom-ops -o - | flatbuffer_to_string - | FileCheck --dump-input-on-failure %s
+// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -emit-custom-ops -o - | flatbuffer_to_string - | FileCheck %s

 func @main(tensor<4xf32>) -> tensor<4xf32> {
 ^bb0(%arg0: tensor<4xf32>):
--- a/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/depthwise_conv2d_v2.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/depthwise_conv2d_v2.mlir
@ -1,4 +1,4 @@
-// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck --dump-input-on-failure %s
+// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s

 func @main(tensor<1x224x224x3xf32>) -> tensor<1x112x112x32xf32> {
 ^bb0(%arg0: tensor<1x224x224x3xf32>):
--- a/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/disable_custom.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/disable_custom.mlir
@ -1,4 +1,4 @@
-// RUN: not flatbuffer_translate -mlir-to-tflite-flatbuffer %s 2>&1 | FileCheck %s --dump-input-on-failure
+// RUN: not flatbuffer_translate -mlir-to-tflite-flatbuffer %s 2>&1 | FileCheck %s

 // CHECK: error: 'tf.MyCustomOp' op is neither a custom op nor a flex op
 // CHECK: error: failed while converting: 'main'
--- a/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/disable_flex.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/disable_flex.mlir
@ -1,4 +1,4 @@
-// RUN: not flatbuffer_translate -mlir-to-tflite-flatbuffer %s 2>&1 | FileCheck %s --dump-input-on-failure
+// RUN: not flatbuffer_translate -mlir-to-tflite-flatbuffer %s 2>&1 | FileCheck %s

 // CHECK: error: 'tf.Div' op is neither a custom op nor a flex op
 // CHECK: error: failed while converting: 'main'
--- a/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/disable_flex_enable_builtin.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/disable_flex_enable_builtin.mlir
@ -1,4 +1,4 @@
-// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck --dump-input-on-failure %s
+// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s

 func @main(tensor<4xf32>) -> tensor<4xf32> {
 ^bb0(%arg0: tensor<4xf32>):
--- a/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/flex_exclusively.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/flex_exclusively.mlir
@ -1,4 +1,4 @@
-// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -emit-select-tf-ops=true -emit-builtin-tflite-ops=false -o - | flatbuffer_to_string - | FileCheck --dump-input-on-failure %s
+// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -emit-select-tf-ops=true -emit-builtin-tflite-ops=false -o - | flatbuffer_to_string - | FileCheck %s

 func @main(%arg0: tensor<3x2xf32>) -> tensor<3x2xf32> {
 // CHECK:  {
--- a/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/flex_op_with_f64.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/flex_op_with_f64.mlir
@ -1,4 +1,4 @@
-// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -emit-select-tf-ops -o - | flatbuffer_to_string - | FileCheck --dump-input-on-failure %s
+// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -emit-select-tf-ops -o - | flatbuffer_to_string - | FileCheck %s

 func @main(tensor<4xf64>, tensor<4xf64>) -> tensor<4xf64> {
 ^bb0(%arg0: tensor<4xf64>, %arg1: tensor<4xf64>):
--- a/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/flex_op_with_tflite_op.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/flex_op_with_tflite_op.mlir
@ -1,4 +1,4 @@
-// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -emit-select-tf-ops -o - | flatbuffer_to_string - | FileCheck --dump-input-on-failure %s
+// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -emit-select-tf-ops -o - | flatbuffer_to_string - | FileCheck %s

 func @main(tensor<4xf32>) -> tensor<4xf32> {
 ^bb0(%arg0: tensor<4xf32>):
--- a/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/fully_connected.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/fully_connected.mlir
@ -1,4 +1,4 @@
-// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck --dump-input-on-failure %s
+// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s

 func @main(tensor<40x37xf32>, tensor<40x37xf32>) -> tensor<40x40xf32> {
 ^bb0(%arg0: tensor<40x37xf32>, %arg1: tensor<40x37xf32>):
--- a/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/fully_connected_v2.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/fully_connected_v2.mlir
@ -1,4 +1,4 @@
-// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck --dump-input-on-failure %s
+// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s

 func @main(tensor<40x37xf32>, tensor<40x37xf32>) -> tensor<40x40xf32> {
 ^bb0(%arg0: tensor<40x37xf32>, %arg1: tensor<40x37xf32>):
--- a/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/lstm_quantized.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/lstm_quantized.mlir
@ -1,4 +1,4 @@
-// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck --dump-input-on-failure %s
+// 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
--- a/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/metadata.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/metadata.mlir
@ -1,4 +1,4 @@
-// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck --dump-input-on-failure %s
+// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s

 module attributes {
  tfl.metadata = {key1 = "value1", key2 = "value2"}
--- a/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/numeric_verify.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/numeric_verify.mlir
@ -1,4 +1,4 @@
-// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck --dump-input-on-failure %s
+// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s

 // CHECK:      {
 // CHECK-NEXT:    version: 3,
--- a/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/tf_entry_function.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/tf_entry_function.mlir
@ -1,4 +1,4 @@
-// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck --dump-input-on-failure %s
+// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s

 module {
 func @serving_default(%arg0: tensor<3x2xf32>) -> tensor<3x2xf32> attributes {tf.entry_function = {inputs = "serving_default_x", outputs = "outputs"}} {
--- a/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/tfl_while_op.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/tfl_while_op.mlir
@ -1,4 +1,4 @@
-// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s --dump-input-on-failure
+// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s

 // CHECK: {
 // CHECK-NEXT:   version: 3,
--- a/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/transpose_conv_optional.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/transpose_conv_optional.mlir
@ -1,4 +1,4 @@
-// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck --dump-input-on-failure %s
+// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s

 func @main(%arg0: tensor<4xi32>, %arg1: tensor<32x4x4x128xf32>, %arg2: tensor<1x32x42x128xf32>) -> tensor<1x64x84x32xf32> {
 // CHECK: {
--- a/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/unidirectional_sequence_lstm.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/unidirectional_sequence_lstm.mlir
@ -1,4 +1,4 @@
-// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck --dump-input-on-failure %s
+// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s

 func @main(tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>) -> tensor<4x4xf32> {
 // CHECK: {
--- a/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/unidirectional_sequence_rnn.mlir
+++ b/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/unidirectional_sequence_rnn.mlir
@ -1,4 +1,4 @@
-// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck --dump-input-on-failure %s
+// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s

 func @main(tensor<4 x f32>, tensor<4 x f32>, tensor<4 x f32>, tensor<4 x f32>) -> tensor<4 x f32> {
 // CHECK:      {
--- a/tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir
+++ b/tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir
@ -1,4 +1,4 @@
-// RUN: tf-opt %s -pass-pipeline='func(canonicalize)' | FileCheck %s -dump-input-on-failure
+// RUN: tf-opt %s -pass-pipeline='func(canonicalize)' | FileCheck %s

 // CHECK-LABEL: func @tfAssertTrue
 func @tfAssertTrue(%arg0: tensor<1x1x6x2xf32>) {
--- a/tensorflow/compiler/mlir/tensorflow/tests/cluster_formation.mlir
+++ b/tensorflow/compiler/mlir/tensorflow/tests/cluster_formation.mlir
@ -1,4 +1,4 @@
-// RUN: tf-opt %s -split-input-file -tf-device-cluster-formation | FileCheck %s -dump-input-on-failure
+// RUN: tf-opt %s -split-input-file -tf-device-cluster-formation | FileCheck %s

 // Simple case, single device cluster.

--- a/tensorflow/compiler/mlir/tensorflow/tests/cluster_outlining.mlir
+++ b/tensorflow/compiler/mlir/tensorflow/tests/cluster_outlining.mlir
@ -1,4 +1,4 @@
-// RUN: tf-opt %s -split-input-file -tf-device-cluster-outlining | FileCheck %s -dump-input-on-failure
+// RUN: tf-opt %s -split-input-file -tf-device-cluster-outlining | FileCheck %s

 // Tests simple case of a single `tf_device.cluster`.

--- a/tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/arg-data-type.pbtxt
+++ b/tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/arg-data-type.pbtxt
@ -1,5 +1,5 @@
-# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-input-arrays=p,x -tf-input-shapes=:1  -tf-output-arrays=p,x -o - | FileCheck %s --check-prefix=NONE --dump-input-on-failure
-# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-input-arrays=p,x -tf-input-shapes=:1  -tf-input-data-types=DT_INT32,DT_BOOL -tf-output-arrays=p,x -o - | FileCheck %s --dump-input-on-failure
+# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-input-arrays=p,x -tf-input-shapes=:1  -tf-output-arrays=p,x -o - | FileCheck %s --check-prefix=NONE
+# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-input-arrays=p,x -tf-input-shapes=:1  -tf-input-data-types=DT_INT32,DT_BOOL -tf-output-arrays=p,x -o - | FileCheck %s

 # Test the handling of the input data types. In particular, if the data type
 # for an input graph node is specified via command line options, use it.
--- a/tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/function-func-attr.pbtxt
+++ b/tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/function-func-attr.pbtxt
@ -1,4 +1,4 @@
-# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -o - | FileCheck %s --dump-input-on-failure
+# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -o - | FileCheck %s

 node {
  name: "custom_relu_func_call"
--- a/tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/graph-default-attr.pbtxt
+++ b/tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/graph-default-attr.pbtxt
@ -1,4 +1,4 @@
-# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -o - | FileCheck %s --dump-input-on-failure
+# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -o - | FileCheck %s

 # Verify that the data_format attributes is pulled from the default value in the
 # registry when not present in the GraphDef
--- a/tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/tensor-list.pbtxt
+++ b/tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/tensor-list.pbtxt
@ -1,4 +1,4 @@
-# RUN: tf-mlir-translate -graphdef-to-mlir %s -o - | FileCheck %s --dump-input-on-failure
+# RUN: tf-mlir-translate -graphdef-to-mlir %s -o - | FileCheck %s

 node {
  name: "TensorListReserve/num_elements"
--- a/tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/tf-data-pipeline.pbtxt
+++ b/tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/tf-data-pipeline.pbtxt
@ -1,4 +1,4 @@
-# RUN: tf-mlir-translate -graphdef-to-mlir %s -tf-output-arrays=BatchDatasetV2 -o - | FileCheck %s --dump-input-on-failure
+# RUN: tf-mlir-translate -graphdef-to-mlir %s -tf-output-arrays=BatchDatasetV2 -o - | FileCheck %s

 # CHECK-LABEL: func @main() -> tensor<*x!tf.variant>
 # CHECK: %[[tensor_slice:.*]], %[[tensor_slice_control:.*]] = tf_executor.island wraps "tf.TensorSliceDataset"
--- a/tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/derived_shape_attr.mlir
+++ b/tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/derived_shape_attr.mlir
@ -1,4 +1,4 @@
-// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s --dump-input-on-failure
+// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s

 // Check that attributes that define derived shapes are exported.

--- a/tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/derived_size_attr.mlir
+++ b/tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/derived_size_attr.mlir
@ -1,4 +1,4 @@
-// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s --dump-input-on-failure
+// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s

 // CHECK: op: "Split"
 // CHECK: attr {
--- a/tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/function-resource-args.mlir
+++ b/tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/function-resource-args.mlir
@ -1,4 +1,4 @@
-// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s --dump-input-on-failure
+// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s

 func @main() -> tensor<*x!tf.resource> attributes {tf.entry_function = {inputs = "", outputs = "func_call"}} {
  %0 = tf_executor.graph {
--- a/tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/legalized_name.mlir
+++ b/tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/legalized_name.mlir
@ -1,4 +1,4 @@
-// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s --dump-input-on-failure
+// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s

 func @main() {
  tf_executor.graph {
--- a/tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/output-shapes-attr.mlir
+++ b/tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/output-shapes-attr.mlir
@ -1,4 +1,4 @@
-// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s --dump-input-on-failure
+// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s

 func @main(%arg0: tensor<10xi32>) -> tensor<10xi32>
 attributes {tf.entry_function = {inputs = "input0", outputs = "output0"}} {
--- a/tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/parse_example_v2.mlir
+++ b/tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/parse_example_v2.mlir
@ -1,4 +1,4 @@
-// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s --dump-input-on-failure
+// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s

 module attributes {tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 175 : i32}} {
  func @main(%arg0: tensor<32x!tf.string>) -> (tensor<?x2xi64>) attributes {tf.entry_function = {inputs = "input0", outputs = "ParseExample/ParseExampleV2"}} {
--- a/tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/preserve-entry-func-names.mlir
+++ b/tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/preserve-entry-func-names.mlir
@ -1,4 +1,4 @@
-// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s --dump-input-on-failure
+// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s

 func @main(%arg0: tensor<10xi32>, %arg1: tensor<10xi32>) -> tensor<10xi32>
 attributes {tf.entry_function = {inputs = "foo,bar", outputs = "Add"}} {
--- a/tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/tf-gradient-attr.mlir
+++ b/tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/tf-gradient-attr.mlir
@ -1,4 +1,4 @@
-// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s --dump-input-on-failure
+// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s

 func @main() {
  tf_executor.graph {
--- a/tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/tf_add.mlir
+++ b/tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/tf_add.mlir
@ -1,4 +1,4 @@
-// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s --dump-input-on-failure
+// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s

 func @main(%arg0: tensor<10xi32>, %arg1: tensor<10xi32>) -> tensor<10xi32>
 attributes {tf.entry_function = {inputs = "input0,input1", outputs = "Add"}} {
--- a/tensorflow/compiler/mlir/tensorflow/tests/op_fusion.mlir
+++ b/tensorflow/compiler/mlir/tensorflow/tests/op_fusion.mlir
@ -1,4 +1,4 @@
-// RUN: tf-opt %s -tf-op-fusion | FileCheck %s --dump-input-on-failure
+// RUN: tf-opt %s -tf-op-fusion | FileCheck %s

 //===----------------------------------------------------------------------===//
 // Conv2D + BiasAdd + <Activation> fusions.
--- a/tensorflow/compiler/mlir/tensorflow/tests/promote_resources_to_args.mlir
+++ b/tensorflow/compiler/mlir/tensorflow/tests/promote_resources_to_args.mlir
@ -1,4 +1,4 @@
-// RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-promote-resources-to-args | FileCheck %s -dump-input-on-failure
+// RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-promote-resources-to-args | FileCheck %s

 // One resource, one read. The initial value of the resource is read.
 // CHECK-LABEL: func @main(%arg0: tensor<i1>, %arg1: tensor<f32> {tf.resource_name = "x"}) -> tensor<2xf32>
--- a/tensorflow/compiler/mlir/tensorflow/tests/promote_var_handles_to_args.mlir
+++ b/tensorflow/compiler/mlir/tensorflow/tests/promote_var_handles_to_args.mlir
@ -1,4 +1,4 @@
-// RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-promote-var-handles-to-args | FileCheck %s -dump-input-on-failure
+// RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-promote-var-handles-to-args | FileCheck %s

 // Tests main function with multiple blocks.

--- a/tensorflow/compiler/mlir/tensorflow/tests/resource_op_lifting.mlir
+++ b/tensorflow/compiler/mlir/tensorflow/tests/resource_op_lifting.mlir
@ -1,4 +1,4 @@
-// RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-resource-op-lifting | FileCheck %s -dump-input-on-failure
+// RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-resource-op-lifting | FileCheck %s

 // Tests that resource load operations are hoisted.

--- a/tensorflow/compiler/mlir/tensorflow/tests/rewrite_tpu_embedding_ops.mlir
+++ b/tensorflow/compiler/mlir/tensorflow/tests/rewrite_tpu_embedding_ops.mlir
@ -1,4 +1,4 @@
-// RUN: tf-opt -tf-rewrite-tpu-embedding-ops %s | FileCheck %s --dump-input-on-failure
+// RUN: tf-opt -tf-rewrite-tpu-embedding-ops %s | FileCheck %s

 // CHECK-LABEL: func @recv_tpu_embedding_activations
 func @recv_tpu_embedding_activations() -> (tensor<512x256xf32>) {
--- a/tensorflow/compiler/mlir/tensorflow/tests/stack_ops_decomposition.mlir
+++ b/tensorflow/compiler/mlir/tensorflow/tests/stack_ops_decomposition.mlir
@ -1,4 +1,4 @@
-// RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-stack-ops-decomposition | FileCheck %s -dump-input-on-failure
+// RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-stack-ops-decomposition | FileCheck %s

 // Tests simple scalar stack operations without control flow.

--- a/tensorflow/compiler/mlir/tensorflow/tests/tensor_array_ops_decomposition.mlir
+++ b/tensorflow/compiler/mlir/tensorflow/tests/tensor_array_ops_decomposition.mlir
@ -1,4 +1,4 @@
-// RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-tensor-array-ops-decomposition | FileCheck %s -dump-input-on-failure
+// RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-tensor-array-ops-decomposition | FileCheck %s

 // Test read and write on a tensor list.

--- a/tensorflow/compiler/mlir/tensorflow/tests/tensor_list_ops_decomposition.mlir
+++ b/tensorflow/compiler/mlir/tensorflow/tests/tensor_list_ops_decomposition.mlir
@ -1,4 +1,4 @@
-// RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-tensor-list-ops-decomposition | FileCheck %s -dump-input-on-failure
+// RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-tensor-list-ops-decomposition | FileCheck %s

 // Test push and pop on a tensor list which is initially empty.

--- a/tensorflow/compiler/mlir/tensorflow/tests/tf_data_fuse_map_and_batch.mlir
+++ b/tensorflow/compiler/mlir/tensorflow/tests/tf_data_fuse_map_and_batch.mlir
@ -1,4 +1,4 @@
-// RUN: tf-opt -tf-standard-pipeline -tf-data-optimization %s -o %t && FileCheck %s --dump-input-on-failure < %t
+// RUN: tf-opt -tf-standard-pipeline -tf-data-optimization %s -o %t && FileCheck %s < %t

 module {
 // CHECK-LABEL: fuse_map_and_batch
--- a/tensorflow/compiler/mlir/tensorflow/tests/tf_data_fuse_pmap_and_batch.mlir
+++ b/tensorflow/compiler/mlir/tensorflow/tests/tf_data_fuse_pmap_and_batch.mlir
@ -1,4 +1,4 @@
-// RUN: tf-opt -tf-standard-pipeline -tf-data-optimization %s -o %t && FileCheck %s --dump-input-on-failure < %t
+// RUN: tf-opt -tf-standard-pipeline -tf-data-optimization %s -o %t && FileCheck %s < %t

 module {
 // CHECK-LABEL: fuse_pmap_and_batch
--- a/tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model/multi_arguments_results_v1.py
+++ b/tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model/multi_arguments_results_v1.py
@ -13,7 +13,7 @@
 # limitations under the License.
 # ==============================================================================

-# RUN: %p/multi_arguments_results_v1 | FileCheck -dump-input-on-failure %s
+# RUN: %p/multi_arguments_results_v1 | FileCheck %s

 # pylint: disable=missing-docstring,line-too-long
 from __future__ import absolute_import
--- a/tensorflow/compiler/mlir/tensorflow/tests/tpu_outside_compilation_cluster.mlir
+++ b/tensorflow/compiler/mlir/tensorflow/tests/tpu_outside_compilation_cluster.mlir
@ -1,4 +1,4 @@
-// RUN: tf-opt %s -tf-tpu-outside-compilation-cluster | FileCheck %s --dump-input-on-failure
+// RUN: tf-opt %s -tf-tpu-outside-compilation-cluster | FileCheck %s

 // CHECK-LABEL: func @one_cluster_no_dependencies
 func @one_cluster_no_dependencies() {
--- a/tensorflow/compiler/mlir/tfjs/tests/e2e/add.pbtxt
+++ b/tensorflow/compiler/mlir/tfjs/tests/e2e/add.pbtxt
@ -1,4 +1,4 @@
-# RUN: tf_tfjs_translate %s -tf-input-arrays=input0,input1 -tf-input-data-types=DT_INT32,DT_INT32 -tf-input-shapes=10:10 -tf-output-arrays=Mul -o - | FileCheck %s --dump-input-on-failure
+# RUN: tf_tfjs_translate %s -tf-input-arrays=input0,input1 -tf-input-data-types=DT_INT32,DT_INT32 -tf-input-shapes=10:10 -tf-output-arrays=Mul -o - | FileCheck %s
 # Add two tensor<4xi32> inputs and return the result

 node {
--- a/tensorflow/compiler/mlir/tfjs/tests/e2e/prelu.pbtxt
+++ b/tensorflow/compiler/mlir/tfjs/tests/e2e/prelu.pbtxt
@ -1,4 +1,4 @@
-# RUN: tf_tfjs_translate %s -tf-input-arrays=input0 -tf-input-data-types=DT_FLOAT -tf-input-shapes=10 -tf-output-arrays=Add -tf-custom-opdefs="name: 'Prelu' input_arg: { name: 'x' type: DT_FLOAT } input_arg: { name: 'alpha' type: DT_FLOAT } output_arg: { name: 'c' type: DT_FLOAT }" -o - | FileCheck %s --dump-input-on-failure
+# RUN: tf_tfjs_translate %s -tf-input-arrays=input0 -tf-input-data-types=DT_FLOAT -tf-input-shapes=10 -tf-output-arrays=Add -tf-custom-opdefs="name: 'Prelu' input_arg: { name: 'x' type: DT_FLOAT } input_arg: { name: 'alpha' type: DT_FLOAT } output_arg: { name: 'c' type: DT_FLOAT }" -o - | FileCheck %s
 # Add two tensor<4xi32> inputs and return the result

 node {
--- a/tensorflow/compiler/mlir/tfjs/tests/ops.mlir
+++ b/tensorflow/compiler/mlir/tfjs/tests/ops.mlir
@ -1,4 +1,4 @@
-// RUN: tf-opt -split-input-file -verify-diagnostics -tfl-runtime-verify %s | FileCheck %s --dump-input-on-failure
+// RUN: tf-opt -split-input-file -verify-diagnostics -tfl-runtime-verify %s | FileCheck %s

 // -----

--- a/tensorflow/compiler/mlir/tfjs/tests/optimize.mlir
+++ b/tensorflow/compiler/mlir/tfjs/tests/optimize.mlir
@ -1,5 +1,5 @@
 // Run optimize pass only and check the results.
-// RUN: tf-opt %s -tfjs-optimize | FileCheck %s --dump-input-on-failure
+// RUN: tf-opt %s -tfjs-optimize | FileCheck %s

 // CHECK-LABEL: prelu_fusion
 func @prelu_fusion(%arg0: tensor<2x3xf32>) -> tensor<2x3xf32> {
--- a/tensorflow/compiler/mlir/xla/tests/legalize-tf-BatchMatMulV2.mlir
+++ b/tensorflow/compiler/mlir/xla/tests/legalize-tf-BatchMatMulV2.mlir
@ -1,4 +1,4 @@
-// RUN: tf-opt -xla-legalize-tf=allow-partial-conversion %s | FileCheck %s --dump-input-on-failure
+// RUN: tf-opt -xla-legalize-tf=allow-partial-conversion %s | FileCheck %s

 //===----------------------------------------------------------------------===//
 // tf.BatchMatMulV2 op legalizations.
--- a/tensorflow/compiler/mlir/xla/tests/lhlo-legalize-select-and-scatter.mlir
+++ b/tensorflow/compiler/mlir/xla/tests/lhlo-legalize-select-and-scatter.mlir
@ -4,7 +4,7 @@
 // Lowering to STD dialect and store forwarding pass would be required to get
 // rid of them. This is exactly what is done in the real MLIR GPU pipeline, but
 // here we disable verification with `verify-each=0` to check the output IR.
-// RUN: xla-opt %s -lhlo-legalize-to-parallel-loops -canonicalize --verify-each=0 | FileCheck %s --dump-input-on-failure
+// RUN: xla-opt %s -lhlo-legalize-to-parallel-loops -canonicalize --verify-each=0 | FileCheck %s

 func @select_and_scatter(%arg: memref<112x112xf32>,
                         %src: memref<56x56xf32>,
--- a/tensorflow/compiler/mlir/xla/tests/lhlo-legalize-to-parallel-loops.mlir
+++ b/tensorflow/compiler/mlir/xla/tests/lhlo-legalize-to-parallel-loops.mlir
@ -1,4 +1,4 @@
-// RUN: xla-opt %s -lhlo-legalize-to-parallel-loops -canonicalize -split-input-file | FileCheck %s --dump-input-on-failure
+// RUN: xla-opt %s -lhlo-legalize-to-parallel-loops -canonicalize -split-input-file | FileCheck %s

 func @reduce(%arg: memref<100x10x5xf32>,
             %init: memref<f32>,
--- a/tensorflow/compiler/mlir/xla/tests/xla-hlo-fusion.mlir
+++ b/tensorflow/compiler/mlir/xla/tests/xla-hlo-fusion.mlir
@ -1,4 +1,4 @@
-// RUN: tf-opt %s -xla-hlo-fusion -split-input-file | FileCheck %s --dump-input-on-failure
+// RUN: tf-opt %s -xla-hlo-fusion -split-input-file | FileCheck %s

 // CHECK-LABEL: func @multi_outputs_same
 func @multi_outputs_same(%arg0: tensor<?x?xf32>, %arg1: tensor<?x?xf32>) -> (tensor<?x?xf32>, tensor<?x?xf32>) {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/abs.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/abs.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule Abs
 ENTRY %Abs (val: f32[2,2]) -> f32[2,2] {
  %val = f32[2,2]{1,0} parameter(0)
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/add.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/add.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule Add

 ENTRY %Add (x: f32[2,2], y: f32[2,2]) -> f32[2,2] {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/add_as_kernel.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/add_as_kernel.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt -lowering-stage=KERNEL %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt -lowering-stage=KERNEL %s | FileCheck %s
 HloModule Add

 ENTRY %Add (x: f32[2,2], y: f32[2,2]) -> f32[2,2] {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/add_in_gpu_dialect.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/add_in_gpu_dialect.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt -lowering-stage=GPU %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt -lowering-stage=GPU %s | FileCheck %s
 HloModule Add

 ENTRY %Add (x: f32[2,2], y: f32[2,2]) -> f32[2,2] {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/add_multiply.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/add_multiply.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule AddMultiply

 ENTRY %AddMultiply (x: f32[2,2], y: f32[2,2], z: f32[2,2]) -> f32[2,2] {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/add_multiply_gpu.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/add_multiply_gpu.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt -lowering-stage=GPU %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt -lowering-stage=GPU %s | FileCheck %s
 HloModule AddMultiply

 ENTRY %AddMultiply (x: f32[2,2], y: f32[2,2], z: f32[2,2]) -> f32[2,2] {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/add_reduce.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/add_reduce.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule AddReduce

 %add (x: f32[], y: f32[]) -> f32[] {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/broadcast.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/broadcast.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule Broadcast

 ENTRY %Broadcast (x: f32[10]) -> f32[10, 5] {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/broken_add.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/broken_add.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt -verify-errors %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt -verify-errors %s | FileCheck %s
 HloModule Add

 ENTRY %Add (x: f32[2,2,2], y: f32[2,2,2]) -> f32[2,2,2] {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/ceil.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/ceil.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule Ceil
 ENTRY %Ceil (val: f32[2,2]) -> f32[2,2] {
  %val = f32[2,2]{1,0} parameter(0)
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/compare.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/compare.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule Compare

 ENTRY %Compare (x: f32[2,2], y: f32[2,2]) -> pred[2,2] {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/complex.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/complex.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule Complex

 ENTRY %Complex (real: f32[2,2]{0,1}, imag: f32[2,2]{0,1}) -> c64[2,2] {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/concatenate.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/concatenate.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule Concatenate

 ENTRY %Concatenate (x: f32[2,3], y: f32[2,2]) -> f32[2,5] {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/const.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/const.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule Const

 ENTRY %Const () -> s32[100] {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/copy.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/copy.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule Copy

 ENTRY %Copy (x: f32[2,4]) -> f32[2,4] {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/copy_transpose.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/copy_transpose.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule CopyTranspose

 ENTRY %CopyTranspose (x: f32[2,4]) -> f32[2,4]{0,1} {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/cos.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/cos.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule Cos
 ENTRY %Cos (val: f32[2,2]) -> f32[2,2] {
  %val = f32[2,2]{1,0} parameter(0)
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/exp.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/exp.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule Exp

 ENTRY %Exp (x: f32[2,2]) -> f32[2,2] {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/fused_reduce.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/fused_reduce.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule FusedReduce

 %add (x: f32[], y: f32[]) -> f32[] {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/imag.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/imag.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule Imag

 ENTRY %Imag (x: c64[2,2]{0,1}) -> f32[2,2] {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/iota.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/iota.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule Iota

 ENTRY %Iota() -> s64[10, 5] {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/iota_add_subtract.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/iota_add_subtract.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt -lowering-stage=GPU %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt -lowering-stage=GPU %s | FileCheck %s
 HloModule AddSubtract

 ENTRY %AddSubtract (x: s32[2,2], y: s32[2,2]) -> s32[2,2] {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/log.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/log.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule Log

 ENTRY %Log (x: f32[2,2]) -> f32[2,2] {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/neg.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/neg.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule Neg
 ENTRY %Neg (val: f32[2,2]) -> f32[2,2] {
  %val = f32[2,2]{1,0} parameter(0)
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/real.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/real.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule Real

 ENTRY %Real (x: c64[2,2]{0,1}) -> f32[2,2] {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/reduce_window.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/reduce_window.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule ReduceWindow

 %max (x: f32[], y: f32[]) -> f32[] {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/rem.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/rem.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule Rem
 ENTRY %Rem(x: f32[2,2], y: f32[2,2]) -> f32[2,2] {
  %x = f32[2,2]{1,0} parameter(0)
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/rsqrt.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/rsqrt.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule Rsqrt

 ENTRY %Rsqrt (x: f32[2,2]) -> f32[2,2] {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/select.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/select.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule Select

 ENTRY %Select (p: pred[2,2], x: f32[2,2], y: f32[2,2]) -> f32[2,2] {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/select_and_scatter.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/select_and_scatter.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule SelectAndScatter

 %ge (x: f32[], y: f32[]) -> pred[] {
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/sign.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/sign.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule Sign
 ENTRY %Sign (val: f32[2,2]) -> f32[2,2] {
  %val = f32[2,2]{1,0} parameter(0)
--- a/tensorflow/compiler/xla/service/mlir_gpu/tests/sqrt.hlo
+++ b/tensorflow/compiler/xla/service/mlir_gpu/tests/sqrt.hlo
@ -1,4 +1,4 @@
-// RUN: xla-gpu-opt %s | FileCheck %s -dump-input-on-failure
+// RUN: xla-gpu-opt %s | FileCheck %s
 HloModule Sqrt

 ENTRY %Sqrt (x: f32[2,2]) -> f32[2,2] {
--- a/Show More
+++ b/Show More