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Remove --dump-input=fail flag passed into FileCheck in FileCheck tests.

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FileCheck dumps the input by default now.

PiperOrigin-RevId: 315748032
Change-Id: I83a9b7b68832034dff6058056ea2e467a9a49995
This commit is contained in:
Andy Ly 2020-06-10 12:49:25 -07:00 committed by TensorFlower Gardener
parent 65a2d4656a
commit 3099f3a664
78 changed files with 88 additions and 88 deletions
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2
tensorflow/compiler/mlir/lite/tests/inlining.mlir
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// RUN: tf-opt %s -inline="disable-simplify" | FileCheck %s --dump-input=fail // RUN: tf-opt %s -inline="disable-simplify" | FileCheck %s
// Inline a function that contains only tfl ops. // Inline a function that contains only tfl ops.
func @func_with_tfl_ops(%arg0 : tensor<2xi32>) -> tensor<2xi32> { func @func_with_tfl_ops(%arg0 : tensor<2xi32>) -> tensor<2xi32> {

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tensorflow/compiler/mlir/tensorflow/tests/annotate-parameter-replication.mlir
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// RUN: tf-opt %s -split-input-file -tf-annotate-parameter-replication | FileCheck %s --dump-input=fail // RUN: tf-opt %s -split-input-file -tf-annotate-parameter-replication | FileCheck %s
// Tests that an operand from outside the replicated region is annotated. // Tests that an operand from outside the replicated region is annotated.

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tensorflow/compiler/mlir/tensorflow/tests/breakup-islands.mlir
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// RUN: tf-opt -tf-executor-break-up-islands %s | FileCheck %s --dump-input=fail // RUN: tf-opt -tf-executor-break-up-islands %s | FileCheck %s
// RUN: tf-opt -tf-executor-break-up-islands -tf-executor-break-up-islands %s | FileCheck %s --dump-input=fail // RUN: tf-opt -tf-executor-break-up-islands -tf-executor-break-up-islands %s | FileCheck %s
// All tests also test for idempotence. // All tests also test for idempotence.

2
tensorflow/compiler/mlir/tensorflow/tests/decompose_resource_ops.mlir
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// RUN: tf-opt %s -split-input-file -tf-device-decompose-resource-ops | FileCheck %s --dump-input=fail // RUN: tf-opt %s -split-input-file -tf-device-decompose-resource-ops | FileCheck %s
// Tests that resources with subtypes are used if present. // Tests that resources with subtypes are used if present.

2
tensorflow/compiler/mlir/tensorflow/tests/device_canonicalize.mlir
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// RUN: tf-opt %s -pass-pipeline='func(canonicalize)' | FileCheck %s --dump-input=fail // RUN: tf-opt %s -pass-pipeline='func(canonicalize)' | FileCheck %s
// Test empty launch with no results is folded away. // Test empty launch with no results is folded away.
// CHECK-LABEL: func @empty_launch_no_results // CHECK-LABEL: func @empty_launch_no_results

2
tensorflow/compiler/mlir/tensorflow/tests/empty-main.mlir
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// RUN: tf-opt -tf-executor-graph-pruning %s | FileCheck %s --check-prefix=CONTROL --dump-input=fail // RUN: tf-opt -tf-executor-graph-pruning %s | FileCheck %s --check-prefix=CONTROL
// CONTROL-LABEL: func @main // CONTROL-LABEL: func @main
// CONTROL-NEXT: return // CONTROL-NEXT: return

2
tensorflow/compiler/mlir/tensorflow/tests/executor_canonicalize.mlir
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// RUN: tf-opt %s -pass-pipeline='func(canonicalize)' | FileCheck %s --dump-input=fail // RUN: tf-opt %s -pass-pipeline='func(canonicalize)' | FileCheck %s
// Test single graph with no outputs and one island is folded away. // Test single graph with no outputs and one island is folded away.

2
tensorflow/compiler/mlir/tensorflow/tests/executor_island_coarsening.mlir
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// RUN: tf-opt %s -tf-executor-island-coarsening | FileCheck %s --dump-input=fail // RUN: tf-opt %s -tf-executor-island-coarsening | FileCheck %s
// Test that islands linked by a control dependency are merged. // Test that islands linked by a control dependency are merged.

2
tensorflow/compiler/mlir/tensorflow/tests/executor_island_materialize_const.mlir
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// RUN: tf-opt %s -pass-pipeline='func(canonicalize)' | FileCheck %s --dump-input=fail // RUN: tf-opt %s -pass-pipeline='func(canonicalize)' | FileCheck %s
// Test that a constant stays inside an island after canonicalization // Test that a constant stays inside an island after canonicalization

2
tensorflow/compiler/mlir/tensorflow/tests/executor_tpuv1_island_coarsening/executor_tpuv1_island_coarsening.mlir
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// RUN: tf-opt %s -tf-executor-tpu-v1-island-coarsening | FileCheck %s --dump-input=fail // RUN: tf-opt %s -tf-executor-tpu-v1-island-coarsening | FileCheck %s
// Test that islands without the attribute are not merged. // Test that islands without the attribute are not merged.

2
tensorflow/compiler/mlir/tensorflow/tests/executor_tpuv1_island_coarsening/while_op.mlir
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// RUN: tf-opt %s -tf-executor-tpu-v1-island-coarsening | FileCheck %s --dump-input=fail // RUN: tf-opt %s -tf-executor-tpu-v1-island-coarsening | FileCheck %s
// Test that islands with a function call are merged if the call is to a function // Test that islands with a function call are merged if the call is to a function

2
tensorflow/compiler/mlir/tensorflow/tests/executor_tpuv1_island_inlining/executor_tpuv1_inline_tpu_island.mlir
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// RUN: tf-opt %s -tf-executor-tpu-v1-island-inlining | FileCheck %s --dump-input=fail // RUN: tf-opt %s -tf-executor-tpu-v1-island-inlining | FileCheck %s
// Check that the nested module is inlined and erased. // Check that the nested module is inlined and erased.

2
tensorflow/compiler/mlir/tensorflow/tests/executor_tpuv1_island_inlining/while_op.mlir
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// RUN: tf-opt %s -tf-executor-tpu-v1-island-inlining | FileCheck %s --dump-input=fail // RUN: tf-opt %s -tf-executor-tpu-v1-island-inlining | FileCheck %s
// CHECK-NOT: tf.PartitionedCall // CHECK-NOT: tf.PartitionedCall
// CHECK-NOT: module @_tpu_v1_compat_outlined // CHECK-NOT: module @_tpu_v1_compat_outlined

2
tensorflow/compiler/mlir/tensorflow/tests/executor_tpuv1_outline_island/case_op.mlir
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// RUN: tf-opt %s -tf-executor-tpu-v1-island-outlining | FileCheck %s --dump-input=fail // RUN: tf-opt %s -tf-executor-tpu-v1-island-outlining | FileCheck %s
// CHECK: func @control_input // CHECK: func @control_input
// CHECK-NOT: func @ // CHECK-NOT: func @

2
tensorflow/compiler/mlir/tensorflow/tests/executor_tpuv1_outline_island/executor_tpuv1_outline_tpu_island.mlir
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// RUN: tf-opt %s -tf-executor-tpu-v1-island-outlining | FileCheck %s --dump-input=fail // RUN: tf-opt %s -tf-executor-tpu-v1-island-outlining | FileCheck %s
// CHECK-LABEL: @func0 // CHECK-LABEL: @func0

2
tensorflow/compiler/mlir/tensorflow/tests/executor_tpuv1_outline_island/while_op.mlir
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// RUN: tf-opt %s -tf-executor-tpu-v1-island-outlining | FileCheck %s --dump-input=fail // RUN: tf-opt %s -tf-executor-tpu-v1-island-outlining | FileCheck %s
// CHECK: func @control_input // CHECK: func @control_input
// CHECK-NOT: func @ // CHECK-NOT: func @

2
tensorflow/compiler/mlir/tensorflow/tests/func-attr.mlir
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// RUN: tf-opt %s | tf-opt | FileCheck %s --dump-input=fail // RUN: tf-opt %s | tf-opt | FileCheck %s
// CHECK-LABEL: func @func_attr // CHECK-LABEL: func @func_attr
// CHECK-SAME: tf._implements = #tf.func<@symbol_a, {attr0 = 1 : i32, attr1 = "random"}> // CHECK-SAME: tf._implements = #tf.func<@symbol_a, {attr0 = 1 : i32, attr1 = "random"}>

4
tensorflow/compiler/mlir/tensorflow/tests/function_visibility.mlir
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// RUN: tf-opt -tf-saved-model-mark-func-visibility -split-input-file %s | FileCheck --check-prefix=SAVEDMODEL %s --dump-input=fail // RUN: tf-opt -tf-saved-model-mark-func-visibility -split-input-file %s | FileCheck --check-prefix=SAVEDMODEL %s
// RUN: tf-opt -tf-mark-func-visibility -split-input-file -verify-diagnostics %s | FileCheck %s --dump-input=fail // RUN: tf-opt -tf-mark-func-visibility -split-input-file -verify-diagnostics %s | FileCheck %s
module attributes {tf_saved_model.semantics} { module attributes {tf_saved_model.semantics} {

2
tensorflow/compiler/mlir/tensorflow/tests/gpu_fusion.mlir
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// RUN: tf-opt %s -tf-gpu-op-fusion | FileCheck %s --dump-input=fail // RUN: tf-opt %s -tf-gpu-op-fusion | FileCheck %s
// Test the op-fusion pass specific to the GPU target. // Test the op-fusion pass specific to the GPU target.

2
tensorflow/compiler/mlir/tensorflow/tests/graph_pruning.mlir
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// RUN: tf-opt %s -tf-executor-graph-pruning | FileCheck %s --dump-input=fail // RUN: tf-opt %s -tf-executor-graph-pruning | FileCheck %s
// Two islands chained by data-flow contributing to the graph return are // Two islands chained by data-flow contributing to the graph return are
// preserved. // preserved.

2
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/arg-as-fetch.pbtxt
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# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s --mlir-print-debuginfo --print-after-all -tf-input-arrays=arg -tf-input-data-types=DT_INT32 -tf-input-shapes=8 -tf-output-arrays=arg -o - | FileCheck %s --dump-input=fail # RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s --mlir-print-debuginfo --print-after-all -tf-input-arrays=arg -tf-input-data-types=DT_INT32 -tf-input-shapes=8 -tf-output-arrays=arg -o - | FileCheck %s
node { node {
name: "arg" name: "arg"

2
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/device-arg-attr.pbtxt
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# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-graph-as-function -o - | FileCheck %s --dump-input=fail # RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-graph-as-function -o - | FileCheck %s
# Verify arg devices are added as arg attributes. # Verify arg devices are added as arg attributes.

2
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/feed-as-fetch.pbtxt
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# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-input-arrays=input -tf-input-data-types=DT_INT32 -tf-input-shapes=8 -tf-output-arrays=input -o - | FileCheck %s --dump-input=fail # RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-input-arrays=input -tf-input-data-types=DT_INT32 -tf-input-shapes=8 -tf-output-arrays=input -o - | FileCheck %s
node { node {
name: "input" name: "input"

2
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/feed-control-dep.pbtxt
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# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-input-arrays=input -tf-input-data-types=DT_FLOAT -tf-output-arrays=output_node -o - | FileCheck %s --dump-input=fail # RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-input-arrays=input -tf-input-data-types=DT_FLOAT -tf-output-arrays=output_node -o - | FileCheck %s
node { node {
name: "input" name: "input"

6
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/graph-as-function-control-ret.pbtxt
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# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-graph-as-function -tf-control-output-arrays=var1_add,var2_add -o - | FileCheck %s --dump-input=fail # RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-graph-as-function -tf-control-output-arrays=var1_add,var2_add -o - | FileCheck %s
# RUN: not tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-graph-as-function -tf-control-output-arrays=var1_add,var1_add -o - 2>&1 | FileCheck %s --check-prefix=UNIQUE --dump-input=fail # RUN: not tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-graph-as-function -tf-control-output-arrays=var1_add,var1_add -o - 2>&1 | FileCheck %s --check-prefix=UNIQUE
# RUN: not tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-graph-as-function -tf-control-output-arrays=var3_add -o - 2>&1 | FileCheck %s --check-prefix=MISSING --dump-input=fail # RUN: not tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-graph-as-function -tf-control-output-arrays=var3_add -o - 2>&1 | FileCheck %s --check-prefix=MISSING
node { node {
name: "arg0" name: "arg0"

2
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/graph-as-function-retval-of-arg.pbtxt
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# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-graph-as-function -o - | FileCheck %s --dump-input=fail # RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-graph-as-function -o - | FileCheck %s
node { node {
name: "arg" name: "arg"

2
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/graph-as-function.pbtxt
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# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-graph-as-function -o - | FileCheck %s --dump-input=fail # RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-graph-as-function -o - | FileCheck %s
# Verify main graph was converted to a function, args/rets are mapped correctly, # Verify main graph was converted to a function, args/rets are mapped correctly,
# and ops in the main graph are retained. In addition, check if subsequent # and ops in the main graph are retained. In addition, check if subsequent

2
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/graph-function-control-ret-diff-island.pbtxt
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# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -o - | FileCheck %s --dump-input=fail # RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -o - | FileCheck %s
# Verify for functions with control return values, the island with only a # Verify for functions with control return values, the island with only a
# consumed control return value has its control output added to the GraphOps # consumed control return value has its control output added to the GraphOps

2
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/graph-function-control-ret-same-island.pbtxt
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# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -o - | FileCheck %s --dump-input=fail # RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -o - | FileCheck %s
# Verify for functions with control return values, the island with a consumed # Verify for functions with control return values, the island with a consumed
# data output and a consumed control has both its outputs added to the GraphOps # data output and a consumed control has both its outputs added to the GraphOps

6
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/multi-output-feeds.pbtxt
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# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-input-arrays=z:1,z:2 -tf-input-shapes=':' -tf-output-arrays=z:2,z:1,a:0 -o - | FileCheck %s --dump-input=fail # RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-input-arrays=z:1,z:2 -tf-input-shapes=':' -tf-output-arrays=z:2,z:1,a:0 -o - | FileCheck %s
# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-prune-unused-nodes -tf-input-arrays=z:1,z:2 -tf-input-shapes=':' -tf-output-arrays=z:2,z:1,a:0 -o - | FileCheck --check-prefix=PRUNE %s --dump-input=fail # RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-prune-unused-nodes -tf-input-arrays=z:1,z:2 -tf-input-shapes=':' -tf-output-arrays=z:2,z:1,a:0 -o - | FileCheck --check-prefix=PRUNE %s
# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-prune-unused-nodes -tf-input-arrays=z:1,z:2 -tf-input-shapes=':' -tf-output-arrays=z:0,a:0 -o - | FileCheck --check-prefix=PRESERVE %s --dump-input=fail # RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-prune-unused-nodes -tf-input-arrays=z:1,z:2 -tf-input-shapes=':' -tf-output-arrays=z:0,a:0 -o - | FileCheck --check-prefix=PRESERVE %s
# Generated in Python via # Generated in Python via
# ``` # ```

6
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/target.pbtxt
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@ -1,6 +1,6 @@
# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-control-output-arrays=AssignAdd -o - | FileCheck %s --dump-input=fail # RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-control-output-arrays=AssignAdd -o - | FileCheck %s
# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-prune-unused-nodes -tf-control-output-arrays=AssignAdd -o - | FileCheck --check-prefix=PRUNE %s --dump-input=fail # RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-prune-unused-nodes -tf-control-output-arrays=AssignAdd -o - | FileCheck --check-prefix=PRUNE %s
# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-prune-unused-nodes -tf-control-output-arrays=Variable/Assign,AssignAdd -o - | FileCheck --check-prefix=PRESERVE %s --dump-input=fail # RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-prune-unused-nodes -tf-control-output-arrays=Variable/Assign,AssignAdd -o - | FileCheck --check-prefix=PRESERVE %s
# Generated in Python via # Generated in Python via
# ``` # ```

2
tensorflow/compiler/mlir/tensorflow/tests/inlining.mlir
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// RUN: tf-opt %s -inline="disable-simplify" | FileCheck %s --dump-input=fail // RUN: tf-opt %s -inline="disable-simplify" | FileCheck %s
// Test that simple TF operations can be inlined. // Test that simple TF operations can be inlined.

2
tensorflow/compiler/mlir/tensorflow/tests/launch_to_device_attribute.mlir
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// RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-launch-to-device-attribute | FileCheck %s --dump-input=fail // RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-launch-to-device-attribute | FileCheck %s
// Tests single TensorFlow op is hoisted out and has the correct device assigned // Tests single TensorFlow op is hoisted out and has the correct device assigned

2
tensorflow/compiler/mlir/tensorflow/tests/materialize_passthrough_op.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt -allow-unregistered-dialect -tf-materialize-passthrough-op %s | FileCheck %s --dump-input=fail // RUN: tf-opt -allow-unregistered-dialect -tf-materialize-passthrough-op %s | FileCheck %s
// Check that the MlirPassthroughOp is eliminated and replaced by its attached // Check that the MlirPassthroughOp is eliminated and replaced by its attached

2
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/device-arg-attr.mlir
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@ -1,4 +1,4 @@
// RUN: tf-mlir-translate -mlir-to-graphdef %s -tf-graph-as-function -o - | FileCheck %s --dump-input=fail // RUN: tf-mlir-translate -mlir-to-graphdef %s -tf-graph-as-function -o - | FileCheck %s
// Verify arg attributes are exported as device assignment for arg nodes. // Verify arg attributes are exported as device assignment for arg nodes.

2
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/function-control-ret.mlir
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// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s --dump-input=fail // RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s
module attributes {tf.versions = {bad_consumers = [], min_consumer = 12 : i32, producer = 29 : i32}} { module attributes {tf.versions = {bad_consumers = [], min_consumer = 12 : i32, producer = 29 : i32}} {
func @main() { func @main() {

2
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/graph-as-function.mlir
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// RUN: tf-mlir-translate -mlir-to-graphdef %s -tf-graph-as-function -o - | FileCheck %s --dump-input=fail // RUN: tf-mlir-translate -mlir-to-graphdef %s -tf-graph-as-function -o - | FileCheck %s
func @main(%arg0: tensor<*x!tf.resource>, %arg1: tensor<*x!tf.resource<tensor<3x3x1x32xf32>>>, %arg2: tensor<*xf32>, %arg3: tensor<2x4x6x8xi32>) -> (tensor<f32>, tensor<f32>) func @main(%arg0: tensor<*x!tf.resource>, %arg1: tensor<*x!tf.resource<tensor<3x3x1x32xf32>>>, %arg2: tensor<*xf32>, %arg3: tensor<2x4x6x8xi32>) -> (tensor<f32>, tensor<f32>)
attributes {tf.entry_function = {inputs = "args_0,args_1,args_2,args_3", outputs = "rets_0_RetVal,rets_1_RetVal"}} { attributes {tf.entry_function = {inputs = "args_0,args_1,args_2,args_3", outputs = "rets_0_RetVal,rets_1_RetVal"}} {

2
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/invalid_input.mlir
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@ -1,4 +1,4 @@
// RUN: not tf-mlir-translate -split-input-file -mlir-to-graphdef %s -o - 2>&1 | FileCheck %s --dump-input=fail // RUN: not tf-mlir-translate -split-input-file -mlir-to-graphdef %s -o - 2>&1 | FileCheck %s
// Tests function with multiple blocks. // Tests function with multiple blocks.

2
tensorflow/compiler/mlir/tensorflow/tests/optimize-arg-operand-constraint.mlir
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// RUN: tf-opt -tf-optimize %s | FileCheck %s --dump-input=fail // RUN: tf-opt -tf-optimize %s | FileCheck %s
// Check passing an argument into DefinedByConv2D constraint does not crash. // Check passing an argument into DefinedByConv2D constraint does not crash.

2
tensorflow/compiler/mlir/tensorflow/tests/parallel_execute_to_islands.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt %s -tf-parallel-execute-to-islands | FileCheck %s --dump-input=fail // RUN: tf-opt %s -tf-parallel-execute-to-islands | FileCheck %s
// CHECK-LABEL: func @check_regions_to_islands // CHECK-LABEL: func @check_regions_to_islands
func @check_regions_to_islands() { func @check_regions_to_islands() {

2
tensorflow/compiler/mlir/tensorflow/tests/readonly_references_to_resources.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt -verify-diagnostics -tf-readonly-references-to-resources -split-input-file %s | FileCheck %s --dump-input=fail // RUN: tf-opt -verify-diagnostics -tf-readonly-references-to-resources -split-input-file %s | FileCheck %s
// Test case: Basic converting. // Test case: Basic converting.

2
tensorflow/compiler/mlir/tensorflow/tests/replicate_invariant_op_hoisting.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt %s -tf-replicate-invariant-op-hoisting | FileCheck %s --dump-input=fail // RUN: tf-opt %s -tf-replicate-invariant-op-hoisting | FileCheck %s
// CHECK-LABEL: func @replicate_arg_shape // CHECK-LABEL: func @replicate_arg_shape
// CHECK-SAME: (%[[ARG_0:[a-z0-9]*]]: tensor<*xf32>, %[[ARG_1:[a-z0-9]*]]: tensor<*xf32>) // CHECK-SAME: (%[[ARG_0:[a-z0-9]*]]: tensor<*xf32>, %[[ARG_1:[a-z0-9]*]]: tensor<*xf32>)

2
tensorflow/compiler/mlir/tensorflow/tests/replicate_to_island.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt %s -tf-replicate-to-island | FileCheck %s --dump-input=fail // RUN: tf-opt %s -tf-replicate-to-island | FileCheck %s
// Tests per replica island has same control operands as island holding // Tests per replica island has same control operands as island holding
// replicate. // replicate.

2
tensorflow/compiler/mlir/tensorflow/tests/resource-device-inference.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt -split-input-file -verify-diagnostics -tf-resource-device-inference %s | FileCheck %s --dump-input=fail // RUN: tf-opt -split-input-file -verify-diagnostics -tf-resource-device-inference %s | FileCheck %s
// Tests that the pass can correctly propagate device attributes inside the same // Tests that the pass can correctly propagate device attributes inside the same
// function. // function.

4
tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir
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@ -1,5 +1,5 @@
// RUN: tf-opt %s -tf-shape-inference=propagate-caller-callee-constants=false -verify-diagnostics | FileCheck %s -dump-input=fail // RUN: tf-opt %s -tf-shape-inference=propagate-caller-callee-constants=false -verify-diagnostics | FileCheck %s
// RUN: tf-opt %s -tf-shape-inference=propagate-caller-callee-constants -verify-diagnostics | FileCheck %s -dump-input=fail // RUN: tf-opt %s -tf-shape-inference=propagate-caller-callee-constants -verify-diagnostics | FileCheck %s
module attributes {tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 130 : i32}} { module attributes {tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 130 : i32}} {
// CHECK-LABEL: func @main(%arg0: tensor<1xi32>, %arg1: tensor<1xi32>) -> tensor<1xi32> // CHECK-LABEL: func @main(%arg0: tensor<1xi32>, %arg1: tensor<1xi32>) -> tensor<1xi32>

2
tensorflow/compiler/mlir/tensorflow/tests/side-effect-analysis-test.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt -split-input-file -tf-test-side-effect-analysis -verify-diagnostics %s | FileCheck %s --dump-input=fail // RUN: tf-opt -split-input-file -tf-test-side-effect-analysis -verify-diagnostics %s | FileCheck %s
// Tests that the pass tracks control dependencies for reads/writes on the same // Tests that the pass tracks control dependencies for reads/writes on the same
// resource. // resource.

2
tensorflow/compiler/mlir/tensorflow/tests/sink_constant.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt %s -tf-device-constant-sinking | FileCheck %s --dump-input=fail // RUN: tf-opt %s -tf-device-constant-sinking | FileCheck %s
// CHECK-LABEL: func @sink_const // CHECK-LABEL: func @sink_const
func @sink_const(%arg0 : tensor<16xf32>) -> (tensor<16xf32>, tensor<f32>) { func @sink_const(%arg0 : tensor<16xf32>) -> (tensor<16xf32>, tensor<f32>) {

2
tensorflow/compiler/mlir/tensorflow/tests/tf-functional-to-executor.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt -tf-functional-to-executor-conversion %s | FileCheck %s --dump-input=fail // RUN: tf-opt -tf-functional-to-executor-conversion %s | FileCheck %s
func @multiple_return(%arg0 : tensor<*xi32>, %arg1 : tensor<i32>) -> (tensor<*xi32>, tensor<*xi32>) { func @multiple_return(%arg0 : tensor<*xi32>, %arg1 : tensor<i32>) -> (tensor<*xi32>, tensor<*xi32>) {
%1 = "tf.Add"(%arg0, %arg1) {} : (tensor<*xi32>, tensor<i32>) -> tensor<*xi32> %1 = "tf.Add"(%arg0, %arg1) {} : (tensor<*xi32>, tensor<i32>) -> tensor<*xi32>

2
tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt %s -split-input-file -verify-diagnostics | FileCheck %s --dump-input=fail // RUN: tf-opt %s -split-input-file -verify-diagnostics | FileCheck %s
// Tests for TensorFlow ops with custom verifiers. // Tests for TensorFlow ops with custom verifiers.

2
tensorflow/compiler/mlir/tensorflow/tests/tf_device_ops.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt %s | tf-opt | FileCheck %s --dump-input=fail // RUN: tf-opt %s | tf-opt | FileCheck %s
// CHECK-LABEL: func @return_no_operands // CHECK-LABEL: func @return_no_operands
func @return_no_operands() { func @return_no_operands() {

2
tensorflow/compiler/mlir/tensorflow/tests/tf_executor_ops.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt %s | tf-opt | FileCheck %s --dump-input=fail // RUN: tf-opt %s | tf-opt | FileCheck %s
// CHECK-LABEL: func @control_type() -> !tf_executor.control // CHECK-LABEL: func @control_type() -> !tf_executor.control
func @control_type() -> !tf_executor.control func @control_type() -> !tf_executor.control

2
tensorflow/compiler/mlir/tensorflow/tests/tf_executor_ops_location_roundtrip.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt %s -mlir-print-debuginfo | tf-opt -mlir-print-debuginfo -mlir-print-op-generic | FileCheck %s --dump-input=fail // RUN: tf-opt %s -mlir-print-debuginfo | tf-opt -mlir-print-debuginfo -mlir-print-op-generic | FileCheck %s
// This file should be written in the generic form with debug locations. // This file should be written in the generic form with debug locations.
// (that is, as if printed with `-mlir-print-debuginfo -mlir-print-op-generic`). // (that is, as if printed with `-mlir-print-debuginfo -mlir-print-op-generic`).

2
tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model_delete_unused_funcs.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt -tf-saved-model-mark-func-visibility -symbol-dce -split-input-file %s | FileCheck %s --dump-input=fail // RUN: tf-opt -tf-saved-model-mark-func-visibility -symbol-dce -split-input-file %s | FileCheck %s
module attributes {tf_saved_model.semantics} { module attributes {tf_saved_model.semantics} {

2
tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model_freeze_global_tensors.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt -verify-diagnostics -tf-saved-model-freeze-global-tensors -split-input-file %s | FileCheck %s --dump-input=fail // RUN: tf-opt -verify-diagnostics -tf-saved-model-freeze-global-tensors -split-input-file %s | FileCheck %s
module attributes {tf_saved_model.semantics} { module attributes {tf_saved_model.semantics} {

2
tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model_ops.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt %s | tf-opt | FileCheck %s --dump-input=fail // RUN: tf-opt %s | tf-opt | FileCheck %s
module attributes {tf_saved_model.semantics} { module attributes {tf_saved_model.semantics} {

2
tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model_optimize_global_tensors.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt -tf-saved-model-optimize-global-tensors -split-input-file %s | FileCheck %s --dump-input=fail // RUN: tf-opt -tf-saved-model-optimize-global-tensors -split-input-file %s | FileCheck %s
//===----------------------------------------------------------------------===// //===----------------------------------------------------------------------===//
// Freezing. // Freezing.

2
tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model_optimize_global_tensors_interprocedural.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt -tf-saved-model-optimize-global-tensors -split-input-file %s | FileCheck %s --dump-input=fail // RUN: tf-opt -tf-saved-model-optimize-global-tensors -split-input-file %s | FileCheck %s
//===----------------------------------------------------------------------===// //===----------------------------------------------------------------------===//
// Immutability. // Immutability.
//===----------------------------------------------------------------------===// //===----------------------------------------------------------------------===//

2
tensorflow/compiler/mlir/tensorflow/tests/tpu-dynamic-layout-pass.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt %s -split-input-file -tf-tpu-dynamic-layout-pass | FileCheck %s --dump-input=fail // RUN: tf-opt %s -split-input-file -tf-tpu-dynamic-layout-pass | FileCheck %s
// Tests that the pass can transform non-replicated execution. // Tests that the pass can transform non-replicated execution.

2
tensorflow/compiler/mlir/tensorflow/tests/tpu-merge-variables-with-execute.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt -split-input-file -tf-tpu-merge-variables-with-execute %s | FileCheck %s --dump-input=fail // RUN: tf-opt -split-input-file -tf-tpu-merge-variables-with-execute %s | FileCheck %s
// Tests that the pass merges only variable reads/writes on the same device. // Tests that the pass merges only variable reads/writes on the same device.

2
tensorflow/compiler/mlir/tensorflow/tests/tpu-variable-runtime-reformatting.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt %s -split-input-file -tf-tpu-variable-runtime-reformatting| FileCheck %s --dump-input=fail // RUN: tf-opt %s -split-input-file -tf-tpu-variable-runtime-reformatting| FileCheck %s
// Tests that the pass can correctly transform a training loop with 2 replicas. // Tests that the pass can correctly transform a training loop with 2 replicas.

2
tensorflow/compiler/mlir/tensorflow/tests/tpu_bridge_v1/end_to_end.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt %s -tf-tpu-bridge-v1 | FileCheck %s --dump-input=fail // RUN: tf-opt %s -tf-tpu-bridge-v1 | FileCheck %s
module attributes {tf.devices = ["/job:localhost/replica:0/task:0/device:CPU:0", "/job:localhost/replica:0/task:0/device:TPU:0", "/job:localhost/replica:0/task:0/device:TPU:1", "/job:localhost/replica:0/task:0/device:TPU_SYSTEM:0"], tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 296 : i32}} { module attributes {tf.devices = ["/job:localhost/replica:0/task:0/device:CPU:0", "/job:localhost/replica:0/task:0/device:TPU:0", "/job:localhost/replica:0/task:0/device:TPU:1", "/job:localhost/replica:0/task:0/device:TPU_SYSTEM:0"], tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 296 : i32}} {
func @main() { func @main() {

2
tensorflow/compiler/mlir/tensorflow/tests/tpu_cluster_formation.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-tpu-cluster-formation | FileCheck %s --dump-input=fail // RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-tpu-cluster-formation | FileCheck %s
// Test ops in cluster only have `_tpu_replicate` and `device` attributes // Test ops in cluster only have `_tpu_replicate` and `device` attributes

2
tensorflow/compiler/mlir/tensorflow/tests/tpu_dynamic_padding_mapper.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-tpu-dynamic-padding | FileCheck %s --dump-input=fail // RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-tpu-dynamic-padding | FileCheck %s
// Test single argument with padding map lifted to associated encapsulated // Test single argument with padding map lifted to associated encapsulated
// function. // function.

2
tensorflow/compiler/mlir/tensorflow/tests/tpu_rewrite.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-tpu-rewrite -tpu_compile_metadata_debug | FileCheck %s --dump-input=fail // RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-tpu-rewrite -tpu_compile_metadata_debug | FileCheck %s
// Tests module with missing `tf.versions` attribute. // Tests module with missing `tf.versions` attribute.

2
tensorflow/compiler/mlir/tensorflow/tests/tpu_sharding_identification.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-tpu-sharding-identification | FileCheck %s --dump-input=fail // RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-tpu-sharding-identification | FileCheck %s
// Tests empty cluster func. Empty input/output sharding configuration // Tests empty cluster func. Empty input/output sharding configuration
// attributes must be added. // attributes must be added.

2
tensorflow/compiler/mlir/tensorflow/tests/tpu_space_to_depth_pass.mlir
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@ -1,4 +1,4 @@
// RUN: tf-opt %s -split-input-file -tf-tpu-space-to-depth-pass | FileCheck %s --dump-input=fail // RUN: tf-opt %s -split-input-file -tf-tpu-space-to-depth-pass | FileCheck %s
// Tests for space to depth host and device transform. // Tests for space to depth host and device transform.

2
tensorflow/compiler/mlir/xla/tests/chlo_infer_shape_type_methods.mlir
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@ -1,4 +1,4 @@
// RUN: xla-opt -test-xla-infer-shaped-type-methods -allow-unregistered-dialect -split-input-file -verify-diagnostics %s -o - | FileCheck --dump-input=fail %s // RUN: xla-opt -test-xla-infer-shaped-type-methods -allow-unregistered-dialect -split-input-file -verify-diagnostics %s -o - | FileCheck %s
// CHECK-LABEL: @broadcast_add // CHECK-LABEL: @broadcast_add
// Note that all broadcast_ops are expanded from the same template, so // Note that all broadcast_ops are expanded from the same template, so

2
tensorflow/compiler/mlir/xla/tests/chlo_legalize_to_hlo_broadcasts.mlir
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@ -1,4 +1,4 @@
// RUN: xla-opt -test-xla-chlo-legalize-to-hlo -split-input-file -verify-diagnostics %s -o - | FileCheck --dump-input=fail %s // RUN: xla-opt -test-xla-chlo-legalize-to-hlo -split-input-file -verify-diagnostics %s -o - | FileCheck %s
// Check the non-broadcast case for each registered op, then just check a // Check the non-broadcast case for each registered op, then just check a
// representative op for detailed broadcast semantics. // representative op for detailed broadcast semantics.

2
tensorflow/compiler/mlir/xla/tests/hlo_to_lhlo_with_xla/ops.mlir
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@ -1,4 +1,4 @@
// RUN: xla-opt -split-input-file -xla-hlo-to-lhlo-with-xla %s | FileCheck --enable-var-scope --dump-input=fail %s // RUN: xla-opt -split-input-file -xla-hlo-to-lhlo-with-xla %s | FileCheck --enable-var-scope %s
// CHECK-LABEL: func @main // CHECK-LABEL: func @main
// CHECK-SAME: %[[ARG0:.*]]: memref<2x2xf32> {xla_lhlo.params = 0 // CHECK-SAME: %[[ARG0:.*]]: memref<2x2xf32> {xla_lhlo.params = 0

2
tensorflow/compiler/mlir/xla/tests/hlo_to_lhlo_with_xla/passthrough.mlir
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@ -1,4 +1,4 @@
// RUN: xla-opt -xla-hlo-to-lhlo-with-xla %s | FileCheck --enable-var-scope --dump-input=fail %s // RUN: xla-opt -xla-hlo-to-lhlo-with-xla %s | FileCheck --enable-var-scope %s
// Current allocation will lead to one buffer argument for the "value" and // Current allocation will lead to one buffer argument for the "value" and
// another one for the output, an no returned values. // another one for the output, an no returned values.

2
tensorflow/compiler/mlir/xla/tests/inlining.mlir
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@ -1,4 +1,4 @@
// RUN: xla-opt %s -inline | FileCheck %s --dump-input=fail // RUN: xla-opt %s -inline | FileCheck %s
// Test case: Basic test of inlining into xla_hlo.while. // Test case: Basic test of inlining into xla_hlo.while.

2
tensorflow/compiler/mlir/xla/tests/lhlo-legalize-to-gpu.mlir
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@ -1,4 +1,4 @@
// RUN: xla-opt %s -lhlo-legalize-to-gpu -split-input-file | FileCheck %s --dump-input=fail // RUN: xla-opt %s -lhlo-legalize-to-gpu -split-input-file | FileCheck %s
func @reduce(%arg: memref<100x10xf32>, func @reduce(%arg: memref<100x10xf32>,
%init: memref<f32>, %init: memref<f32>,

2
tensorflow/compiler/mlir/xla/tests/materialize-broadcasts.mlir
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@ -1,4 +1,4 @@
// RUN: xla-opt -test-xla-materialize-broadcasts -split-input-file %s -o - | FileCheck --dump-input=fail %s // RUN: xla-opt -test-xla-materialize-broadcasts -split-input-file %s -o - | FileCheck %s
// CHECK-LABEL: @clampBroadcast // CHECK-LABEL: @clampBroadcast
// CHECK-SAME: (%[[MIN:.+]]: tensor<f32>, %[[VAL:.+]]: tensor<4xf32>, %[[MAX:.+]]: tensor<f32>) // CHECK-SAME: (%[[MIN:.+]]: tensor<f32>, %[[VAL:.+]]: tensor<4xf32>, %[[MAX:.+]]: tensor<f32>)

2
tensorflow/compiler/mlir/xla/tests/sink-constants-to-control-flow.mlir
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@ -1,4 +1,4 @@
// RUN: xla-opt %s -xla-hlo-sink-constants-to-control-flow | FileCheck %s --dump-input=fail // RUN: xla-opt %s -xla-hlo-sink-constants-to-control-flow | FileCheck %s
// Tests sinking constants to a while loop. // Tests sinking constants to a while loop.

4
tensorflow/compiler/mlir/xla/tests/translate/dynamic_parameter_binding.mlir
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@ -1,5 +1,5 @@
// RUN: tf-mlir-translate -split-input-file -mlir-hlo-to-hlo %s | FileCheck %s --dump-input=fail // RUN: tf-mlir-translate -split-input-file -mlir-hlo-to-hlo %s | FileCheck %s
// RUN: tf-mlir-translate -split-input-file -mlir-hlo-to-hlo -emit-use-tuple-args %s | FileCheck %s --check-prefix=TUPLE --dump-input=fail // RUN: tf-mlir-translate -split-input-file -mlir-hlo-to-hlo -emit-use-tuple-args %s | FileCheck %s --check-prefix=TUPLE
// Test entry function with no dynamic parameter bindings. // Test entry function with no dynamic parameter bindings.

2
tensorflow/compiler/mlir/xla/tests/transpose.mlir
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@ -1,4 +1,4 @@
// RUN: xla-opt %s -split-input-file -pass-pipeline='func(canonicalize)' | FileCheck %s --dump-input=fail // RUN: xla-opt %s -split-input-file -pass-pipeline='func(canonicalize)' | FileCheck %s
// CHECK-LABEL: func @remove_noop // CHECK-LABEL: func @remove_noop
// CHECK-SAME: [[ARG:%[a-zA-Z0-9]+]] // CHECK-SAME: [[ARG:%[a-zA-Z0-9]+]]

2
tensorflow/compiler/mlir/xla/tests/unfuse_batch_norm.mlir
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@ -1,4 +1,4 @@
// RUN: xla-opt -split-input-file -test-xla-unfuse-batch-norm -verify-diagnostics %s | FileCheck --enable-var-scope --dump-input=fail %s // RUN: xla-opt -split-input-file -test-xla-unfuse-batch-norm -verify-diagnostics %s | FileCheck --enable-var-scope %s
// CHECK-LABEL: @batchNormInference_2D_inner_features // CHECK-LABEL: @batchNormInference_2D_inner_features
// CHECK-SAME: %[[X:[^:[:space:]]+]] // CHECK-SAME: %[[X:[^:[:space:]]+]]

2
tensorflow/compiler/mlir/xla/tests/xla-transform-unranked-hlo.mlir
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@ -1,4 +1,4 @@
// RUN: xla-opt -transform-unranked-hlo -split-input-file %s | FileCheck --dump-input=fail %s // RUN: xla-opt -transform-unranked-hlo -split-input-file %s | FileCheck %s
// Check the validity of expected IR. // Check the validity of expected IR.
// CHECK-LABEL: @sqr_transform_result // CHECK-LABEL: @sqr_transform_result