/* Copyright 2019 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/c/ops.h"

#include "absl/strings/str_cat.h"
#include "tensorflow/c/c_api.h"
#include "tensorflow/core/framework/attr_value.pb.h"
#include "tensorflow/core/framework/fake_input.h"
#include "tensorflow/core/framework/op_def.pb.h"
#include "tensorflow/core/framework/op_def_builder.h"
#include "tensorflow/core/framework/shape_inference_testutil.h"
#include "tensorflow/core/framework/tensor_testutil.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/lib/core/status_test_util.h"
#include "tensorflow/core/platform/test.h"

namespace tensorflow {
namespace {

TEST(OpsTest, TestBasicOpRegistration) {
  TF_OpDefinitionBuilder* builder = TF_NewOpDefinitionBuilder("SomeOp");
  TF_OpDefinitionBuilderAddAttr(builder, "attr1: string");
  TF_OpDefinitionBuilderAddInput(builder, "input1: uint8");
  TF_OpDefinitionBuilderAddInput(builder, "input2: uint16");
  TF_OpDefinitionBuilderAddOutput(builder, "output1: uint32");
  TF_Status* status = TF_NewStatus();
  TF_RegisterOpDefinition(builder, status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TF_Buffer* op_list_buffer = TF_GetAllOpList();
  ::tensorflow::OpList op_list;
  op_list.ParseFromArray(op_list_buffer->data, op_list_buffer->length);
  bool found = false;
  for (const auto& op : op_list.op()) {
    if (op.name() == "SomeOp") {
      ASSERT_EQ(2, op.input_arg_size());
      ASSERT_EQ("input1", op.input_arg(0).name());
      ASSERT_EQ(::tensorflow::DT_UINT8, op.input_arg(0).type());
      ASSERT_EQ(1, op.attr_size());
      ASSERT_EQ("string", op.attr(0).type());
      found = true;
    }
  }
  EXPECT_TRUE(found);
  TF_DeleteStatus(status);
  TF_DeleteBuffer(op_list_buffer);
}

void identity_shape_fn(TF_ShapeInferenceContext* ctx, TF_Status* status) {
  TF_ShapeHandle* handle = TF_NewShapeHandle();
  TF_ShapeInferenceContextGetInput(ctx, 0, handle, status);
  ASSERT_EQ(TF_OK, TF_GetCode(status));
  TF_ShapeInferenceContextSetOutput(ctx, 0, handle, status);
  TF_DeleteShapeHandle(handle);
}

TEST(OpsTest, TestShapeInference_IdentityFunction) {
  ShapeInferenceTestOp op("SomeTestOp");

  TF_OpDefinitionBuilder* builder = TF_NewOpDefinitionBuilder("SomeTestOp");
  TF_OpDefinitionBuilderAddInput(builder, "input1: uint8");
  TF_OpDefinitionBuilderAddOutput(builder, "output1: uint8");
  TF_OpDefinitionBuilderSetShapeInferenceFunction(builder, &identity_shape_fn);
  TF_Status* status = TF_NewStatus();
  TF_RegisterOpDefinition(builder, status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  TF_ASSERT_OK(
      shape_inference::ShapeInferenceTestutil::InferShapes(op, "[1,2]", "in0"));
  TF_DeleteStatus(status);
}

TEST(OpsTest, TestShapeInference_UnknownShape) {
  ShapeInferenceTestOp op("UnknownShapeOp");

  TF_OpDefinitionBuilder* builder = TF_NewOpDefinitionBuilder("UnknownShapeOp");
  TF_OpDefinitionBuilderAddInput(builder, "input1: uint8");
  TF_OpDefinitionBuilderAddInput(builder, "input2: uint32");
  TF_OpDefinitionBuilderAddOutput(builder, "output1: uint8");
  TF_OpDefinitionBuilderAddOutput(builder, "output2: uint8");
  TF_OpDefinitionBuilderSetShapeInferenceFunction(
      builder, &TF_ShapeInferenceContextSetUnknownShape);
  TF_Status* status = TF_NewStatus();
  TF_RegisterOpDefinition(builder, status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  TF_ASSERT_OK(shape_inference::ShapeInferenceTestutil::InferShapes(
      op, "[1,2];[3,4]", "?;?"));
  TF_DeleteStatus(status);
}

// Creates an output whose shape is a vector of length
// TF_ShapeInferenceContextRank.
void vectorize_shape_fn(TF_ShapeInferenceContext* ctx, TF_Status* status) {
  TF_ShapeHandle* handle = TF_NewShapeHandle();
  TF_ShapeInferenceContextGetInput(ctx, 0, handle, status);
  ASSERT_EQ(TF_OK, TF_GetCode(status));
  TF_ShapeHandle* new_shape = TF_ShapeInferenceContextVectorFromSize(
      ctx, TF_ShapeInferenceContextRank(ctx, handle));
  TF_ShapeInferenceContextSetOutput(ctx, 0, new_shape, status);
  TF_DeleteShapeHandle(handle);
  TF_DeleteShapeHandle(new_shape);
}

TEST(OpsTest, TestShapeInference_VectorizeFunction) {
  ShapeInferenceTestOp op("VectorizeTestOp");

  TF_OpDefinitionBuilder* builder =
      TF_NewOpDefinitionBuilder("VectorizeTestOp");
  TF_OpDefinitionBuilderAddInput(builder, "input1: uint8");
  TF_OpDefinitionBuilderAddOutput(builder, "output1: uint8");
  TF_OpDefinitionBuilderSetShapeInferenceFunction(builder, &vectorize_shape_fn);
  TF_Status* status = TF_NewStatus();
  TF_RegisterOpDefinition(builder, status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  TF_ASSERT_OK(shape_inference::ShapeInferenceTestutil::InferShapes(
      op, "[4,5,9]", "[3]"));
  TF_DeleteStatus(status);
}

TEST(OpsTest, AttributeAccessors) {
  TF_OpDefinitionBuilder* builder =
      TF_NewOpDefinitionBuilder("AttributeAccesorsOp");
  TF_OpDefinitionBuilderAddAttr(builder, "foo1: int >= 2");
  TF_OpDefinitionBuilderAddAttr(builder, "foo2: string=\"my string\"");
  TF_OpDefinitionBuilderSetIsCommutative(builder, true);
  TF_OpDefinitionBuilderSetIsAggregate(builder, true);
  TF_OpDefinitionBuilderSetAllowsUninitializedInput(builder, true);
  std::string deprecation_msg = "use something else instead";
  TF_OpDefinitionBuilderDeprecated(builder, 4, deprecation_msg.c_str());

  TF_Status* status = TF_NewStatus();
  TF_RegisterOpDefinition(builder, status);
  ASSERT_EQ(TF_OK, TF_GetCode(status));

  TF_Buffer* op_list_buffer = TF_GetAllOpList();
  ::tensorflow::OpList op_list;
  op_list.ParseFromArray(op_list_buffer->data, op_list_buffer->length);
  bool found = false;
  for (const auto& op : op_list.op()) {
    if (op.name() == "AttributeAccesorsOp") {
      ASSERT_TRUE(op.is_commutative());
      ASSERT_TRUE(op.is_aggregate());
      ASSERT_TRUE(op.allows_uninitialized_input());
      ASSERT_EQ(4, op.deprecation().version());
      ASSERT_EQ(deprecation_msg, op.deprecation().explanation());
      ASSERT_EQ(2, op.attr_size());
      ASSERT_EQ("int", op.attr(0).type());
      ASSERT_EQ(2, op.attr(0).minimum());
      ASSERT_EQ("string", op.attr(1).type());
      ASSERT_EQ("my string", op.attr(1).default_value().s());
      found = true;
    }
  }
  ASSERT_TRUE(found);
  TF_DeleteStatus(status);
  TF_DeleteBuffer(op_list_buffer);
}

#define C_CTX(x) reinterpret_cast<TF_ShapeInferenceContext*>(x)
#define C_SHP(x) reinterpret_cast<TF_ShapeHandle*>(x)

static OpDef MakeOpDef(int num_inputs, int num_outputs) {
  OpRegistrationData op_reg_data;
  OpDefBuilder b("dummy");
  for (int i = 0; i < num_inputs; ++i) {
    b.Input(strings::StrCat("i", i, ": float"));
  }
  for (int i = 0; i < num_outputs; ++i) {
    b.Output(strings::StrCat("o", i, ": float"));
  }
  CHECK(b.Attr("foo:string").Finalize(&op_reg_data).ok());
  return op_reg_data.op_def;
}

// Tests for shape inference

PartialTensorShape S(std::initializer_list<int64> dims) {
  return PartialTensorShape(dims);
}

PartialTensorShape Unknown() { return PartialTensorShape(); }

TEST(OpsTest, ShapeInferenceWithRank) {
  NodeDef def;
  shape_inference::InferenceContext c(0, &def, MakeOpDef(1, 0),
                                      {S({10, 20, 30})}, {}, {}, {});

  shape_inference::ShapeHandle in0 = c.input(0);
  shape_inference::ShapeHandle s1;

  TF_Status* status = TF_NewStatus();
  TF_ShapeInferenceContextWithRankAtMost(C_CTX(&c), C_SHP(&in0), 3, C_SHP(&s1),
                                         status);
  EXPECT_EQ("[10,20,30]", c.DebugString(s1));
  EXPECT_EQ(TF_OK, TF_GetCode(status));

  TF_ShapeInferenceContextWithRankAtLeast(C_CTX(&c), C_SHP(&in0), 3, C_SHP(&s1),
                                          status);
  EXPECT_EQ("[10,20,30]", c.DebugString(s1));
  EXPECT_EQ(TF_OK, TF_GetCode(status));

  TF_ShapeInferenceContextWithRankAtLeast(C_CTX(&c), C_SHP(&in0), 6, C_SHP(&s1),
                                          status);
  ASSERT_NE(TF_OK, TF_GetCode(status));

  TF_SetStatus(status, TF_OK, "");
  TF_ShapeInferenceContextWithRankAtMost(C_CTX(&c), C_SHP(&in0), 1, C_SHP(&s1),
                                         status);
  ASSERT_NE(TF_OK, TF_GetCode(status));

  TF_SetStatus(status, TF_OK, "");
  TF_ShapeInferenceContextWithRank(C_CTX(&c), C_SHP(&in0), 3, C_SHP(&s1),
                                   status);
  ASSERT_EQ(TF_OK, TF_GetCode(status));

  TF_ShapeInferenceContextWithRank(C_CTX(&c), C_SHP(&in0), 4, C_SHP(&s1),
                                   status);
  ASSERT_NE(TF_OK, TF_GetCode(status));

  TF_DeleteStatus(status);
}

TEST(OpsTest, ShapeInferenceWithRank_UnknownRank) {
  NodeDef def;
  shape_inference::InferenceContext c(0, &def, MakeOpDef(2, 2),
                                      {Unknown(), S({1, -1, 3})}, {}, {}, {});

  shape_inference::ShapeHandle in0 = c.input(0);
  shape_inference::ShapeHandle s1;

  // WithRankAtMost and WithRankAtLeast on a shape with unknown dimensionality
  // always succeed.
  TF_Status* status = TF_NewStatus();
  TF_ShapeInferenceContextWithRankAtMost(C_CTX(&c), C_SHP(&in0), 1, C_SHP(&s1),
                                         status);
  EXPECT_EQ("?", c.DebugString(s1));
  EXPECT_EQ(TF_OK, TF_GetCode(status));

  TF_ShapeInferenceContextWithRankAtLeast(C_CTX(&c), C_SHP(&in0), 1, C_SHP(&s1),
                                          status);
  EXPECT_EQ("?", c.DebugString(s1));
  EXPECT_EQ(TF_OK, TF_GetCode(status));

  TF_DeleteStatus(status);
}

TEST(OpsTest, ShapeInferenceConcatenateShapes) {
  NodeDef def;
  shape_inference::InferenceContext c(0, &def, MakeOpDef(2, 0),
                                      {S({1, 2}), S({3, 4})}, {}, {}, {});
  ASSERT_EQ(2, TF_ShapeInferenceContextNumInputs(C_CTX(&c)));
  shape_inference::ShapeHandle a = c.input(0);
  shape_inference::ShapeHandle b = c.input(1);
  TF_ShapeHandle* result = TF_NewShapeHandle();
  TF_Status* status = TF_NewStatus();
  TF_ShapeInferenceContextConcatenateShapes(C_CTX(&c), C_SHP(&a), C_SHP(&b),
                                            result, status);
  EXPECT_EQ(
      "[1,2,3,4]",
      c.DebugString(*reinterpret_cast<shape_inference::ShapeHandle*>(result)));
  EXPECT_EQ(TF_OK, TF_GetCode(status));
  TF_DeleteShapeHandle(result);
  TF_DeleteStatus(status);
}

TEST(OpsTest, DimensionHandleValueKnown) {
  NodeDef def;
  shape_inference::InferenceContext c(0, &def, MakeOpDef(2, 0),
                                      {S({1, 2}), S({3, 4})}, {}, {}, {});
  TF_ShapeHandle* handle =
      TF_ShapeInferenceContextVectorFromSize(C_CTX(&c), 43);
  ASSERT_EQ(
      "[43]",
      c.DebugString(*reinterpret_cast<shape_inference::ShapeHandle*>(handle)));
  ASSERT_EQ(1, TF_ShapeInferenceContextRankKnown(C_CTX(&c), handle));
  ASSERT_EQ(1, TF_ShapeInferenceContextRank(C_CTX(&c), handle));

  TF_DimensionHandle* dim_handle = TF_NewDimensionHandle();
  TF_ShapeInferenceContextDim(C_CTX(&c), handle, 0, dim_handle);
  ASSERT_EQ(1, TF_DimensionHandleValueKnown(dim_handle));
  ASSERT_EQ(43, TF_DimensionHandleValue(dim_handle));
  TF_DeleteShapeHandle(handle);
  TF_DeleteDimensionHandle(dim_handle);
}

TEST(OpsTest, ShapeInferenceSubshape) {
  NodeDef def;
  shape_inference::InferenceContext c(0, &def, MakeOpDef(1, 0),
                                      {S({10, 20, 30, 40, 50})}, {}, {}, {});
  ASSERT_EQ("[10,20,30,40,50]", c.DebugString(c.input(0)));

  TF_ShapeHandle* handle = TF_NewShapeHandle();
  TF_Status* status = TF_NewStatus();
  TF_ShapeInferenceContextGetInput(C_CTX(&c), 0, handle, status);
  ASSERT_EQ(TF_OK, TF_GetCode(status));
  TF_ShapeInferenceContextSubshape(C_CTX(&c), handle, 1, -1, handle, status);
  ASSERT_EQ(TF_OK, TF_GetCode(status));
  ASSERT_EQ(
      "[20,30,40]",
      c.DebugString(*reinterpret_cast<shape_inference::ShapeHandle*>(handle)));
  TF_DeleteStatus(status);
  TF_DeleteShapeHandle(handle);
}

}  // namespace
}  // namespace tensorflow
