#include "tensorflow/compiler/mlir/lite/schema/schema_generated.h"

namespace mlir {
namespace lite {

// Sparsify the `input_model` and write the result to a flatbuffer `builder`.
absl::Status SparsifyModel(const tflite::ModelT& input_model,
                           flatbuffers::FlatBufferBuilder* builder);
}  // namespace lite
}  // namespace mlir

    ],
    deps = [
        ":common",
        ":runtime_metadata_fbs",
        "//tensorflow/compiler/mlir/lite:tensorflow_lite",
        "//tensorflow/compiler/mlir/lite/experimental/tac/hardwares:target_hardware",
        "//tensorflow/compiler/mlir/lite/quantization/ir:QuantOps",
        "//tensorflow/compiler/mlir/tensorflow",
        "@flatbuffers",
        "@llvm-project//llvm:Support",
        "@llvm-project//mlir:ArithDialect",

require (
	github.com/google/uuid v1.6.0
	github.com/jinzhu/now v1.1.5
	github.com/lib/pq v1.10.9
	github.com/stretchr/testify v1.9.0
	gorm.io/driver/mysql v1.5.7
	gorm.io/driver/postgres v1.5.9
	gorm.io/driver/sqlite v1.5.6
	gorm.io/driver/sqlserver v1.5.3
	gorm.io/gorm v1.25.10
)

require (
	filippo.io/edwards25519 v1.1.0 // indirect
	github.com/davecgh/go-spew v1.1.1 // indirect

    } catch (UnsupportedOperationException expected) {
    }
  }

  /**
   * Verifies that an Iterator is unmodifiable.
   *
   * <p>This test only works with iterators that iterate over a finite set.
   */
  public static void assertIteratorIsUnmodifiable(Iterator<?> iterator) {
    while (iterator.hasNext()) {
      iterator.next();
      try {
        iterator.remove();

    } catch (UnsupportedOperationException expected) {
    }
  }

  /**
   * Verifies that an Iterator is unmodifiable.
   *
   * <p>This test only works with iterators that iterate over a finite set.
   */
  public static void assertIteratorIsUnmodifiable(Iterator<?> iterator) {
    while (iterator.hasNext()) {
      iterator.next();
      try {
        iterator.remove();

#include "tsl/platform/logging.h"

// Note: branched from tensorflow/lite/tools/optimize/quantize_weights_test.cc

namespace {
tensorflow::string* g_test_model_dir = nullptr;
}  // namespace

namespace tflite {
namespace optimize {
namespace {

using mlir::lite::BufferType;
using mlir::lite::CustomOpMap;
using mlir::lite::QuantizeWeights;
constexpr bool kUseUpdatedHybridSchemeDefault = true;

  let hasVerifier = 1;
}

def TF_IsFiniteOp : TF_Op<"IsFinite", [Pure, SameOperandsAndResultShape]> {
  let summary = "Returns which elements of x are finite.";

  let description = [{
@compatibility(numpy)
Equivalent to np.isfinite
@end_compatibility

Example:

```python
x = tf.constant([5.0, 4.8, 6.8, np.inf, np.nan])