/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#include <map>

#include "tensorflow/core/framework/dataset.h"
#include "tensorflow/core/framework/partial_tensor_shape.h"
#include "tensorflow/core/framework/tensor.h"

namespace tensorflow {
namespace data {
namespace experimental {
namespace {

class NonSerializableDatasetOp : public UnaryDatasetOpKernel {
 public:
  explicit NonSerializableDatasetOp(OpKernelConstruction* ctx)
      : UnaryDatasetOpKernel(ctx) {
    OP_REQUIRES_OK(ctx, ctx->GetAttr("output_types", &output_types_));
    OP_REQUIRES_OK(ctx, ctx->GetAttr("output_shapes", &output_shapes_));
  }

 protected:
  void MakeDataset(OpKernelContext* ctx, DatasetBase* input,
                   DatasetBase** output) override {
    *output = new Dataset(ctx, input, output_types_, output_shapes_);
  }

 private:
  class Dataset : public DatasetBase {
   public:
    Dataset(OpKernelContext* ctx, const DatasetBase* input,
            const DataTypeVector& output_types,
            const std::vector<PartialTensorShape>& output_shapes)
        : DatasetBase(DatasetContext(ctx)),
          input_(input),
          output_types_(output_types),
          output_shapes_(output_shapes) {
      input_->Ref();
    }

    ~Dataset() override { input_->Unref(); }

    std::unique_ptr<IteratorBase> MakeIteratorInternal(
        const string& prefix) const override {
      return absl::make_unique<Iterator>(
          Iterator::Params{this, strings::StrCat(prefix, "::NonSerializable")});
    }

    const DataTypeVector& output_dtypes() const override {
      return output_types_;
    }
    const std::vector<PartialTensorShape>& output_shapes() const override {
      return output_shapes_;
    }

    string DebugString() const override {
      return "NonSerializableDatasetOp::Dataset";
    }

    Status InputDatasets(
        std::vector<const DatasetBase*>* inputs) const override {
      inputs->push_back(input_);
      return Status::OK();
    }

    Status CheckExternalState() const override {
      return input_->CheckExternalState();
    }

   protected:
    Status AsGraphDefInternal(SerializationContext* ctx,
                              DatasetGraphDefBuilder* b,
                              Node** output) const override {
      return errors::Unimplemented(DebugString(),
                                   " does not support serialization.");
    }

    int64 Cardinality() const override { return input_->Cardinality(); }

   private:
    class Iterator : public DatasetIterator<Dataset> {
     public:
      explicit Iterator(const Params& params)
          : DatasetIterator<Dataset>(params) {}

      Status Initialize(IteratorContext* ctx) override {
        return dataset()->input_->MakeIterator(ctx, this, prefix(),
                                               &input_impl_);
      }

      Status GetNextInternal(IteratorContext* ctx,
                             std::vector<Tensor>* out_tensors,
                             bool* end_of_sequence) override {
        return input_impl_->GetNext(ctx, out_tensors, end_of_sequence);
      }

     protected:
      std::shared_ptr<model::Node> CreateNode(
          IteratorContext* ctx, model::Node::Args args) const override {
        return model::MakeKnownRatioNode(std::move(args), /*ratio=*/1);
      }

      Status SaveInternal(SerializationContext* ctx,
                          IteratorStateWriter* writer) override {
        TF_RETURN_IF_ERROR(SaveInput(ctx, writer, input_impl_));
        return Status::OK();
      }

      Status RestoreInternal(IteratorContext* ctx,
                             IteratorStateReader* reader) override {
        TF_RETURN_IF_ERROR(RestoreInput(ctx, reader, input_impl_));
        return Status::OK();
      }

     private:
      std::unique_ptr<IteratorBase> input_impl_;
    };

    const DatasetBase* input_;
    const DataTypeVector output_types_;
    const std::vector<PartialTensorShape> output_shapes_;
  };

  DataTypeVector output_types_;
  std::vector<PartialTensorShape> output_shapes_;
};

REGISTER_KERNEL_BUILDER(Name("NonSerializableDataset").Device(DEVICE_CPU),
                        NonSerializableDatasetOp);
REGISTER_KERNEL_BUILDER(
    Name("ExperimentalNonSerializableDataset").Device(DEVICE_CPU),
    NonSerializableDatasetOp);

}  // namespace
}  // namespace experimental
}  // namespace data
}  // namespace tensorflow
