// Copyright 2017 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 "tensorflow/core/framework/common_shape_fns.h"
#include "tensorflow/core/framework/op.h"
#include "tensorflow/core/framework/resource_mgr.h"
#include "tensorflow/core/framework/shape_inference.h"

namespace tensorflow {
using shape_inference::InferenceContext;

namespace tensorforest {

REGISTER_RESOURCE_HANDLE_OP(FertileStatsResource);

REGISTER_OP("FertileStatsIsInitializedOp")
    .Input("stats_handle: resource")
    .Output("is_initialized: bool")
    .SetShapeFn(tensorflow::shape_inference::ScalarShape)
    .Doc(R"doc(
Checks whether a stats has been initialized.
)doc");

REGISTER_OP("CreateFertileStatsVariable")
    .Attr("params: string")
    .Input("stats_handle: resource")
    .Input("stats_config: string")
    .SetShapeFn(tensorflow::shape_inference::NoOutputs)
    .Doc(R"doc(
Creates a stats model and returns a handle to it.

params: A serialized TensorForestParams proto.
stats_handle: handle to the stats resource to be created.
stats_config: Serialized proto of the stats.
)doc");

REGISTER_OP("FertileStatsSerialize")
    .Attr("params: string")
    .Input("stats_handle: resource")
    .Output("stats_config: string")
    .SetShapeFn(tensorflow::shape_inference::ScalarShape)
    .Doc(R"doc(
Serializes the stats to a proto.

params: A serialized TensorForestParams proto.
stats_handle: The handle to the stats.
stats_config: Serialized proto of the stats.
)doc");

REGISTER_OP("FertileStatsDeserialize")
    .Attr("params: string")
    .Input("stats_handle: resource")
    .Input("stats_config: string")
    .SetShapeFn(tensorflow::shape_inference::NoOutputs)
    .Doc(R"doc(
Deserializes a serialized stats config and replaces current stats.

params: A serialized TensorForestParams proto.
stats_handle: The handle to the stats.
stats_config: Serialized proto of the stats.
)doc");

REGISTER_OP("GrowTreeV4")
    .Attr("params: string")
    .Input("tree_handle: resource")
    .Input("stats_handle: resource")
    .Input("finshed_nodes: int32")
    .SetShapeFn(tensorflow::shape_inference::NoOutputs)
    .Doc(R"doc(
Grows the tree for finished nodes and allocates waiting nodes.

params: A serialized TensorForestParams proto.
tree_handle: The handle to the tree.
stats_handle: The handle to the stats.
finshed_nodes: A 1-d Tensor of finished node ids from ProcessInput.
)doc");

REGISTER_OP("ProcessInputV4")
    .Attr("random_seed: int")
    .Attr("input_spec: string")
    .Attr("params: string")
    .Input("tree_handle: resource")
    .Input("stats_handle: resource")
    .Input("input_data: float")
    .Input("sparse_input_indices: int64")
    .Input("sparse_input_values: float")
    .Input("sparse_input_shape: int64")
    .Input("input_labels: float")
    .Input("input_weights: float")
    .Input("leaf_ids: int32")
    .Output("finished_nodes: int32")
    .SetShapeFn([](InferenceContext* c) {
      c->set_output(0, c->Vector(c->UnknownDim()));
      return Status::OK();
    })
    .Doc(R"doc(
Add labels to stats after traversing the tree for each example.

Outputs node ids that are finished.

params: A serialized TensorForestParams proto.
tree_handle: The handle to the tree.
stats_handle: The handle to the stats.
input_data: The training batch's features as a 2-d tensor; `input_data[i][j]`
   gives the j-th feature of the i-th input.
sparse_input_indices: The indices tensor from the SparseTensor input.
sparse_input_values: The values tensor from the SparseTensor input.
sparse_input_shape: The shape tensor from the SparseTensor input.
input_labels: The training batch's labels as a 1 or 2-d tensor.
  'input_labels[i][j]' gives the j-th label/target for the i-th input.
input_weights: The training batch's eample weights as a 1-d tensor.
  'input_weights[i]' gives the weight for the i-th input.
finished_nodes: A 1-d tensor of node ids that have finished and are ready to
  grow.
leaf_ids: `leaf_ids[i]` is the leaf id for input i.
)doc");

REGISTER_OP("FinalizeTree")
    .Attr("params: string")
    .Input("tree_handle: resource")
    .Input("stats_handle: resource")
    .SetShapeFn([](InferenceContext* c) { return Status::OK(); })
    .Doc(R"doc(
Puts the Leaf models inside the tree into their final form.

If drop_final_class is true, the per-class probability prediction of the
last class is not stored in the leaf models.

params: A serialized TensorForestParams proto.
tree_handle: The handle to the tree.
stats_handle: The handle to the stats.
)doc");
}  // namespace tensorforest
}  // namespace tensorflow
