// Pattern definition file for direct lowering of mhlo composites to tflite ops.
include "mlir/IR/OpBase.td"
include "mlir/Dialect/Arith/IR/ArithOps.td"
include "mlir/Dialect/Func/IR/FuncOps.td"
include "mhlo/IR/hlo_ops.td"
include "tensorflow/compiler/mlir/lite/ir/tfl_ops.td"
include "tensorflow/compiler/mlir/lite/stablehlo/transforms/composite_utils.td"
include "tensorflow/compiler/mlir/lite/stablehlo/transforms/composite_avg_pool_patterns.td"

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#include "tensorflow/compiler/mlir/lite/common/tfl_pass_config.h"
#include "tensorflow/compiler/mlir/lite/quantization/quantization_passes.h"
#include "tensorflow/compiler/mlir/lite/quantization/tensorflow/passes.h"
#include "tensorflow/compiler/mlir/lite/stablehlo/transforms/legalize_tf_xla_call_module_to_stablehlo_pass.h"
#include "tensorflow/compiler/mlir/lite/stablehlo/transforms/passes.h"

#include "tensorflow/compiler/mlir/lite/ir/tfl_ops.h"
#include "tensorflow/compiler/mlir/lite/transforms/passes.h"
#include "tensorflow/compiler/mlir/lite/utils/stateful_ops_utils.h"

// Background info:
// Currently the model taken to MLIRConverter is frozen (all the variables have
// been converted to constants, all the assign ops are gone, etc.). However,

// RUN: json_to_flatbuffer %p/test_schema.fbs %s | flatbuffer_translate --tflite-flatbuffer-to-mlir -o - | FileCheck %s
// RUN: json_to_flatbuffer %p/test_schema.fbs %s | flatbuffer_translate --tflite-flatbuffer-to-mlir -o - | flatbuffer_translate -mlir-to-tflite-flatbuffer - -o - | flatbuffer_to_string - | FileCheck --check-prefix=RoundTrip %s

name: tests

on:
  push:
    branches-ignore:
      - 'gh-pages'
  pull_request:
    branches-ignore:
      - 'gh-pages'

permissions:
  contents: read

jobs:
  # Label of the container job
  sqlite:
    strategy:
      matrix:
        go: ['1.22', '1.21', '1.20']
        platform: [ubuntu-latest] # can not run in windows OS
    runs-on: ${{ matrix.platform }}

    steps:
    - name: Set up Go 1.x

limitations under the License.
==============================================================================*/
#include "tensorflow/compiler/mlir/lite/schema/schema_conversion_utils.h"

#include <algorithm>

namespace tflite {

int8_t ConvertBuiltinCodeToDeprecatedBuiltinCode(
    const BuiltinOperator builtin_code) {
  return (builtin_code < BuiltinOperator_PLACEHOLDER_FOR_GREATER_OP_CODES)

  let options = [
    Option<"default_min_", "default-min", "double", "-1.0",
               "Default minimum value for TFLite quantization">,
    Option<"default_max_", "default-max", "double", "1.0",
               "Default maximum value for TFLite quantization">,
    Option<"is_signed_", "is-signed", "bool", "false",
               "Is the corresponding integer signed">,
  ];
}

// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_translate --tflite-flatbuffer-to-mlir - -o - | FileCheck %s
// This only test the exporter and importer are working without min/max quantization parameters.

func.func @main(tensor<40x37xf32>, tensor<40x37xf32>) -> tensor<40x40xf32> {
^bb0(%arg0: tensor<40x37xf32>, %arg1: tensor<40x37xf32>):
  %cst = arith.constant dense<1.0> : tensor<40xf32>

// is std::nullopt, all signatures will be imported. Otherwise, only names
// in `exported_names` are imported.
//
// Note that the word `Lite` means it is a lighter version compared to
// ConvertSavedModelV1ToMlir(), and is not related to TFLite.
//
// TODO(b/179683149): Rename this class to avoid confusion with TFLite.
absl::StatusOr<mlir::OwningOpRef<mlir::ModuleOp>> ConvertSavedModelV1ToMlirLite(