// =============================================================================

using tensorflow::AbstractContext;
using tensorflow::AbstractTensorHandle;
using tensorflow::dyn_cast;
using tensorflow::ImmediateExecutionContext;
using tensorflow::ImmediateExecutionTensorHandle;
using tensorflow::string;
using tensorflow::unwrap;
using tensorflow::wrap;
using tensorflow::strings::StrCat;

ct-noinput", "src/compress/flate/testdata/huffman-text.dyn.expect", "src/compress/flate/testdata/huffman-text.dyn.expect-noinput", "src/compress/flate/testdata/huffman-text.golden", "src/compress/flate/testdata/huffman-text.in", "src/compress/flate/testdata/huffman-text.wb.expect", "src/compress/flate/testdata/huffman-text.wb.expect-noinput", "src/compress/flate/testdata/huffman-zero.dyn.expect", "src/compress/flate/testdata/huffman-zero.dyn.expect-noinput", "src/compress/flate/testdata/huffman-zero.golden",...

ct-noinput", "src/compress/flate/testdata/huffman-text.dyn.expect", "src/compress/flate/testdata/huffman-text.dyn.expect-noinput", "src/compress/flate/testdata/huffman-text.golden", "src/compress/flate/testdata/huffman-text.in", "src/compress/flate/testdata/huffman-text.wb.expect", "src/compress/flate/testdata/huffman-text.wb.expect-noinput", "src/compress/flate/testdata/huffman-zero.dyn.expect", "src/compress/flate/testdata/huffman-zero.dyn.expect-noinput", "src/compress/flate/testdata/huffman-zero.golden",...

	typ, err := r.Types.FindMessageByURL(url)
	if err != nil {
		// Here we ignore the error since we want istioctl to ignore unknown types due to the Envoy version change
		msg := exprpb.Type{TypeKind: &exprpb.Type_Dyn{Dyn: &emptypb.Empty{}}}
		return msg.ProtoReflect().Type(), nil
	}
	return typ, nil
}

// Wrapper is a wrapper around the Envoy ConfigDump
// It has extra helper functions for handling any/struct/marshal protobuf pain

namespace tracing {

Status MaybeSetOpName(AbstractOperation* op, const char* op_name) {
  if (isa<TracingOperation>(op)) {
    TF_RETURN_IF_ERROR(dyn_cast<TracingOperation>(op)->SetOpName(op_name));
  }
  if (isa<gradients::TapeOperation>(op)) {
    TF_RETURN_IF_ERROR(MaybeSetOpName(
        dyn_cast<gradients::TapeOperation>(op)->GetBackingOperation(),
        op_name));
  }
  return absl::OkStatus();
}
}  // namespace tracing

//
// =============================================================================

using tensorflow::AbstractFunction;
using tensorflow::AbstractTensorHandle;
using tensorflow::DataType;
using tensorflow::dyn_cast;
using tensorflow::OutputList;
using tensorflow::Status;
using tensorflow::unwrap;
using tensorflow::wrap;
using tensorflow::tracing::CreateTracingExecutionContext;

	if err != nil {
		// istioctl should keep going if it encounters new Envoy versions; ignore unknown types
		return &exprpb.Type{TypeKind: &exprpb.Type_Dyn{Dyn: &emptypb.Empty{}}}, nil
	}
	return legacyproto.MessageV1(mt.New().Interface()), nil

#include "tensorflow/core/lib/llvm_rtti/llvm_rtti.h"
#include "tensorflow/core/platform/errors.h"
#include "tensorflow/core/platform/strcat.h"
#include "tensorflow/core/platform/types.h"

using tensorflow::dyn_cast;
using tensorflow::string;
using tensorflow::gtl::ArraySlice;

namespace tensorflow {
namespace tracing {
namespace graph {

class GraphContext;
class GraphOperation;
class GraphTensor;

  }
  AbstractContextPtr ctx(BuildFunction("test_fn"));
  AbstractTensorHandlePtr x;
  {
    tracing::TracingTensorHandle* x_raw = nullptr;
    PartialTensorShape shape;
    Status s = dyn_cast<tracing::TracingContext>(ctx.get())->AddParameter(
        DT_FLOAT, shape, &x_raw);
    ASSERT_EQ(errors::OK, s.code()) << s.message();
    x.reset(x_raw);
  }

  PartialTensorShape shape;

  tracing::TracingTensorHandle* handle = nullptr;
  for (auto input : inputs) {
    PartialTensorShape shape;
    TF_RETURN_IF_ERROR(input->Shape(&shape));
    TF_RETURN_IF_ERROR(dyn_cast<tracing::TracingContext>(ctx)->AddParameter(
        input->DataType(), shape, &handle));
    params->emplace_back(handle);
  }
  return absl::OkStatus();
}

// Runs `model` maybe wrapped in a function.