/* Copyright 2016 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (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/node_def_builder.h"
#include "tensorflow/core/framework/op.h"
#include "tensorflow/core/framework/shape_inference_testutil.h"
#include "tensorflow/core/framework/tensor_testutil.h"
#include "tensorflow/core/platform/test.h"

namespace tensorflow {

TEST(SetOpsTest, DenseToDenseShape_InvalidNumberOfInputs) {
  ShapeInferenceTestOp op("DenseToDenseSetOperation");
  op.input_tensors.resize(3);
  INFER_ERROR("Wrong number of inputs passed", op, "?;?;?");
}

TEST(SetOpsTest, DenseToDenseShape) {
  ShapeInferenceTestOp op("DenseToDenseSetOperation");

  // Unknown shapes.
  INFER_OK(op, "?;?", "[?,?];[?];[?]");

  // Invalid rank.
  INFER_ERROR("Shape must be at least rank 2 but is rank 1", op, "[?];?");
  INFER_ERROR("Shape must be at least rank 2 but is rank 1", op, "?;[?]");
  INFER_ERROR("Shape must be at least rank 2 but is rank 1", op, "[2];?");
  INFER_ERROR("Shape must be at least rank 2 but is rank 1", op, "?;[2]");

  // Mismatched ranks.
  INFER_ERROR("Shape must be rank 2 but is rank 3", op, "[?,?];[?,?,?]");
  INFER_ERROR("Shape must be rank 3 but is rank 2", op, "[?,?,?];[?,?]");
  INFER_ERROR("Shape must be rank 2 but is rank 3", op, "[2,1];[2,1,2]");
  INFER_ERROR("Shape must be rank 3 but is rank 2", op, "[2,1,2];[2,1]");

  // Rank 2, unknown dims.
  INFER_OK(op, "[?,?];?", "[?,2];[?];[2]");
  INFER_OK(op, "?;[?,?]", "[?,2];[?];[2]");
  INFER_OK(op, "[?,?];[?,?]", "[?,2];[?];[2]");

  // Rank 4, unknown dims.
  INFER_OK(op, "[?,?,?,?];?", "[?,4];[?];[4]");
  INFER_OK(op, "?;[?,?,?,?]", "[?,4];[?];[4]");
  INFER_OK(op, "[?,?,?,?];[?,?,?,?]", "[?,4];[?];[4]");

  // Known rank for 1 input.
  INFER_OK(op, "[5,3,2,1];?", "[?,4];[?];[4]");
  INFER_OK(op, "?;[5,3,2,1]", "[?,4];[?];[4]");
  INFER_OK(op, "[5,3,2,1];[?,?,?,?]", "[?,4];[?];[4]");
  INFER_OK(op, "[?,?,?,?];[5,3,2,1]", "[?,4];[?];[4]");
  INFER_OK(op, "[5,3,2,1];[?,?,?,?]", "[?,4];[?];[4]");

  // Mismatched n-1 dims.
  INFER_ERROR("Dimension 0 in both shapes must be equal", op,
              "[4,?,2,?];[3,1,?,5]");
  INFER_ERROR("Dimension 2 in both shapes must be equal", op,
              "[4,3,2,1];[4,3,3,1]");

  // Matched n-1 dims.
  INFER_OK(op, "[4,5,6,7];[?,?,?,?]", "[?,4];[?];[4]");
  INFER_OK(op, "[4,5,6,7];[?,?,?,4]", "[?,4];[?];[4]");
  INFER_OK(op, "[?,?,?,?];[4,5,6,7]", "[?,4];[?];[4]");
  INFER_OK(op, "[4,?,2,?];[?,1,?,5]", "[?,4];[?];[4]");
  INFER_OK(op, "[4,5,6,7];[4,?,6,?]", "[?,4];[?];[4]");
  INFER_OK(op, "[4,5,6,7];[4,5,6,4]", "[?,4];[?];[4]");
}

TEST(SetOpsTest, DenseToSparseShape_InvalidNumberOfInputs) {
  ShapeInferenceTestOp op("DenseToSparseSetOperation");
  op.input_tensors.resize(5);
  INFER_ERROR("Wrong number of inputs passed", op, "?;?;?;?;?");
}

TEST(SetOpsTest, DenseToSparseShape) {
  ShapeInferenceTestOp op("DenseToSparseSetOperation");
  INFER_OK(op, "?;?;?;?", "[?,?];[?];[?]");

  // Unknown shapes.
  INFER_OK(op, "?;?;?;?", "[?,?];[?];[?]");
  INFER_OK(op, "?;[?,?];[?];[?]", "[?,?];[?];[?]");

  // Invalid rank.
  INFER_ERROR("Shape must be at least rank 2 but is rank 1", op, "[?];?;?;?");
  INFER_ERROR("Shape must be at least rank 2 but is rank 1", op,
              "[?];[?,?];[?];[?]");
  INFER_ERROR("Shape must be at least rank 2 but is rank 1", op,
              "[?];[5,3];[5];[3]");
  INFER_ERROR("Shape must be at least rank 2 but is rank 1", op, "[2];?;?;?");
  INFER_ERROR("Shape must be at least rank 2 but is rank 1", op,
              "[2];[?,?];[?];[?]");
  INFER_ERROR("Shape must be at least rank 2 but is rank 1", op,
              "[2];[5,3];[5];[3]");

  // Unknown sparse rank.
  INFER_OK(op, "[?,?];?;?;?", "[?,2];[?];[2]");
  INFER_OK(op, "[?,?];[?,?];[?];[?]", "[?,2];[?];[2]");

  // Unknown dense rank.
  INFER_OK(op, "?;[?,2];[?];[2]", "[?,d3_0];[?];[d3_0]");
  INFER_OK(op, "?;[5,2];[5];[2]", "[?,d3_0];[?];[d3_0]");

  // Known both ranks.
  INFER_OK(op, "[?,?];[5,2];[5];[2]", "[?,2];[?];[2]");
  INFER_OK(op, "[4,3];[5,2];[5];[2]", "[?,2];[?];[2]");

  // Invalid input sparse tensor.
  INFER_ERROR("elements in index (5) and values (6) do not match", op,
              "?;[5,3];[6];[3]");
  INFER_ERROR("rank (3) and shape rank (4) do not match", op,
              "?;[5,3];[5];[4]");
}

TEST(SetOpsTest, SparseToSparseShape_InvalidNumberOfInputs) {
  ShapeInferenceTestOp op("SparseToSparseSetOperation");
  op.input_tensors.resize(7);
  INFER_ERROR("Wrong number of inputs passed", op, "?;?;?;?;?;?;?");
}

TEST(SetOpsTest, SparseToSparseShape) {
  ShapeInferenceTestOp op("SparseToSparseSetOperation");

  // Unknown.
  INFER_OK(op, "?;?;?;?;?;?", "[?,?];[?];[?]");
  INFER_OK(op, "[?,?];[?];[?];[?,?];[?];[?]", "[?,?];[?];[?]");
  INFER_OK(op, "?;?;?;[?,?];[?];[?]", "[?,?];[?];[?]");
  INFER_OK(op, "[?,?];[?];[?];?;?;?", "[?,?];[?];[?]");

  // Known rank for 1 input.
  INFER_OK(op, "[?,2];[?];[2];?;?;?", "[?,d2_0];[?];[d2_0]");
  INFER_OK(op, "?;?;?;[?,2];[?];[2]", "[?,d5_0];[?];[d5_0]");
  INFER_OK(op, "[?,2];[?];[2];[?,?];[?];[?]", "[?,d2_0];[?];[d2_0]");
  INFER_OK(op, "[?,?];[?];[?];[?,2];[?];[2]", "[?,d5_0];[?];[d5_0]");

  // Known rank for both inputs.
  INFER_OK(op, "[?,2];[?];[2];[?,2];[?];[2]", "[?,d2_0];[?];[d2_0]");
}

}  // end namespace tensorflow