// RUN: tf-mlir-translate -mlir-tf-to-hlo-text %s -tf-input-shapes=8,16,16,64:64 -tf-xla-emit-use-tuple-args -tf-xla-emit-return-tuple | FileCheck %s
// RUN: tf-mlir-translate -mlir-tf-to-hlo-text-via-builder %s -tf-input-shapes=8,16,16,64:64 | FileCheck %s

module attributes {tf.versions = {producer = 179 : i32}} {

# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-input-arrays=p,x -tf-input-shapes=512,1024: -tf-input-data-types="DT_INT32,DT_RESOURCE(512,1024:DT_INT32)" -tf-output-arrays=p,x -o - | FileCheck %s -check-prefix=CHECK-SHAPE

// RUN: tf-opt -tf-saved-model-mark-initialized-variables-test %s | FileCheck %s
// RUN: tf-opt -tf-saved-model-mark-initialized-variables-invalid-session-test %s | FileCheck %s --check-prefix=INVALID


module attributes {tf_saved_model.semantics, tf_saved_model.under_construction} {

// RUN: tf-opt %s -tf-drop-while-shape-invariant | FileCheck %s
// RUN: tf-opt %s -tf-drop-while-shape-invariant-in-device-cluster | FileCheck -check-prefix=IN-CLUSTER %s


func.func @while_cond(%arg0: tensor<*xf32>) -> tensor<i1> {
  %0 = "tf.Const"() {value = dense<true> : tensor<i1>} : () -> tensor<i1>
  func.return %0 : tensor<i1>
}

func.func @while_body(%arg0: tensor<*xf32>) -> (tensor<*xf32>) {

// RUN: tf-quant-opt %s -quant-insert-quantized-functions='quantization-method=drq' | FileCheck %s
// RUN: tf-quant-opt %s -quant-insert-quantized-functions='quantization-method=drq target-opset=UNIFORM_QUANTIZED' | FileCheck --check-prefix=UQ-CHECK %s

// Empty module
module {
  func.func @simple_fn(%arg0: tensor<*xf32>) -> tensor<*xf32> {
    func.return %arg0 : tensor<*xf32>
  }
}

// CHECK-NOT: func private @internal_calculate_quant_params

// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s
// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_translate -tflite-flatbuffer-to-mlir - -o - | FileCheck --check-prefix=IMPORT %s

func.func @main(tensor<4xf32>) -> tensor<4xf32> {
^bb0(%arg0: tensor<4xf32>):
// CHECK: {
// CHECK-NEXT:   version: 3,
// CHECK-NEXT:     operator_codes: [ {
// CHECK-NEXT:       deprecated_builtin_code: 80,

	v_0 := v.Args[0]
	b := v.Block
	fe := b.Func.fe
	// match: (NilCheck ptr:(GetG mem) mem)
	// result: ptr
	for {
		ptr := v_0
		if ptr.Op != OpGetG {
			break
		}
		mem := ptr.Args[0]
		if mem != v_1 {
			break
		}
		v.copyOf(ptr)
		return true
	}
	// match: (NilCheck ptr:(SelectN [0] call:(StaticLECall _ _)) _)

set -o errexit
set -o nounset
set -o pipefail

KUBE_ROOT=$(dirname "${BASH_SOURCE[0]}")/..
source "${KUBE_ROOT}/hack/lib/init.sh"

kube::golang::setup_env

GOPROXY=off go install ./cmd/clicheck

if ! output=$(clicheck 2>&1)
then
	echo "$output"
	echo
	echo "FAILURE: CLI is not following one or more required conventions."
	exit 1
else
	echo "$output"
	echo

// RUN: tf-opt %s -tf-shape-inference=input-arg-shapes=1 -verify-diagnostics -split-input-file | FileCheck %s
// RUN: not tf-opt %s -tf-shape-inference=input-arg-shapes=* 2>&1 | FileCheck --check-prefix=INPUT_ARG_SHAPES_ERROR %s
// INPUT_ARG_SHAPES_ERROR: Missing input argument shapes

module attributes {tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 268 : i32}} {
    // CHECK-LABEL: func.func @main

// RUN: tf-opt --tfl-legalize-tf-while %s -o - | FileCheck %s
// RUN: tf-opt --tfl-legalize-tf-while %s -o - --tfl-legalize-tf-while --inline='default-pipeline=''' | FileCheck %s --check-prefix=INLINE
// RUN: tf-opt --tfl-legalize-tf-while %s -o - --tfl-legalize-tf-while --inline | FileCheck %s --check-prefix=CANON