// RUN: json_to_flatbuffer %p/test_schema.fbs %s | flatbuffer_translate --tflite-flatbuffer-to-mlir -o - | FileCheck %s

// CHECK: %[[CST:.*]] = "tfl.no_value"() <{value}> : () -> none
// 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 = 1 : i32, stride_w = 1 : i32}> : (tensor<256x32x32x3xf32>, tensor<16x3x3x3xf32>, none) -> tensor<256x32x32x16xf32>

// 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

// RUN: json_to_flatbuffer %p/test_schema.fbs %s | flatbuffer_translate --tflite-flatbuffer-to-mlir -o - | FileCheck %s

// This test is to test that if the flatbuffer omits the last optional input `bias` of tfl.conv_2d op, the flatbuffer_importer will automatically adds `none` value to tfl.conv_2d.

// CHECK: %[[CST:.*]] = "tfl.no_value"() <{value}> : () -> none

#include "flatbuffers/flatbuffers.h"  // from @flatbuffers
#include "flatbuffers/idl.h"  // from @flatbuffers
#include "flatbuffers/util.h"  // from @flatbuffers

int main(int argc, char** argv) {
  // load FlatBuffer schema (.fbs) and JSON from disk
  if (argc < 2) {
    std::cerr << "Missing input argument. Usage:\n"
              << argv[0] << " <filename or - for stdin>\n\n";
    return 1;
  }
  const char* schema_path = argv[1];

    default_visibility = [
        "//visibility:public",
    ],
    licenses = ["notice"],
)

flatbuffer_cc_library(
    name = "runtime_metadata_fbs",
    srcs = ["runtime_metadata.fbs"],
    compatible_with = get_compatible_with_portable(),
)

cc_library(
    name = "execution_metadata_exporter",
    srcs = [
        "execution_metadata_exporter.cc",
    ],
    hdrs = [

      return std::nullopt;
    }
  }

  absl::Cord result;
  auto fbs = absl::string_view(
      reinterpret_cast<const char*>(builder_.GetBufferPointer()),
      builder_.GetSize());
  result.Append(fbs);

  // Return serialized string for the built FlatBuffer.
  if (use_buffer_offset_) {
    // Pad to be 16 bytes aligned
    {

        <match type="regex" value="2\r?\n(?:HEADER|ENTITIES)\r?\n" offset="12:60"/>
      </match>
    </magic>
  </mime-type>

  <mime-type type="image/vnd.fastbidsheet">
    <glob pattern="*.fbs"/>
  </mime-type>
  <mime-type type="image/vnd.fpx">
    <glob pattern="*.fpx"/>
  </mime-type>
  <mime-type type="image/vnd.fst">
    <glob pattern="*.fst"/>
  </mime-type>

    weight.
*   Adds time series models to contrib. See contrib/timeseries/README.md for
    details.
*   Adds FULLY_CONNECTED Op to tensorflow/lite/schema.fbs

## Known Issues

*   Tensorflow_gpu compilation fails with Bazel 0.5.3.

## Bug Fixes and Other Changes

*   Fixes `strides` and `begin` dtype mismatch when slicing using int64 Tensor