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#ifndef CAFFE2_OPERATORS_ELEMENTWISE_OP_TEST_H_
#define CAFFE2_OPERATORS_ELEMENTWISE_OP_TEST_H_
#include "caffe2/operators/elementwise_ops.h"
#include <iostream>
#include <string>
#include <vector>
#include <gtest/gtest.h>
template <typename Context, typename T>
void CopyVector(const int N, const T* x, T* y);
template <typename Context, typename I_Type, typename O_Type>
void FillTensor(
caffe2::Workspace* ws,
const std::string& name,
const std::vector<int64_t>& shape,
const std::vector<I_Type>& values) {
auto* blob = ws->CreateBlob(name);
auto* tensor = BlobGetMutableTensor(blob, Context::GetDeviceType());
tensor->Resize(shape);
auto* mutable_data = tensor->template mutable_data<O_Type>();
const O_Type* data = reinterpret_cast<const O_Type*>(values.data());
CopyVector<Context, O_Type>(values.size(), data, mutable_data);
}
template <typename Context>
caffe2::OperatorDef CreateOperatorDef() {
caffe2::OperatorDef def;
return def;
}
template <typename Context>
caffe2::OperatorDef DefineOperator(const std::string& op_type) {
caffe2::OperatorDef def = CreateOperatorDef<Context>();
def.set_name("test");
def.set_type(op_type);
def.add_input("X");
def.add_input("Y");
def.add_output("Z");
return def;
}
template <typename Context>
void elementwiseAnd() {
const int N = 4;
const int M = 2;
caffe2::Workspace ws;
auto def = DefineOperator<Context>("And");
{ // equal size
FillTensor<Context, uint8_t, bool>(
&ws, "X", {N}, {true, false, true, false});
FillTensor<Context, uint8_t, bool>(
&ws, "Y", {N}, {true, true, false, false});
std::unique_ptr<caffe2::OperatorBase> op(caffe2::CreateOperator(def, &ws));
EXPECT_NE(nullptr, op.get());
EXPECT_TRUE(op->Run());
auto* blob = ws.GetBlob("Z");
EXPECT_NE(nullptr, blob);
caffe2::Tensor Z(blob->Get<caffe2::Tensor>(), caffe2::CPU);
EXPECT_EQ(Z.numel(), N);
std::vector<bool> result{true, false, false, false};
for (const auto i : c10::irange(Z.numel())) {
EXPECT_EQ(Z.template data<bool>()[i], result[i]);
}
}
{ // broadcast
auto* arg = def.add_arg();
arg->set_name("broadcast");
arg->set_i(1);
FillTensor<Context, uint8_t, bool>(
&ws, "X", {M, N}, {true, false, true, false, true, false, true, false});
FillTensor<Context, uint8_t, bool>(
&ws, "Y", {N}, {true, true, false, false});
std::unique_ptr<caffe2::OperatorBase> op(caffe2::CreateOperator(def, &ws));
EXPECT_NE(nullptr, op.get());
EXPECT_TRUE(op->Run());
auto* blob = ws.GetBlob("Z");
EXPECT_NE(nullptr, blob);
caffe2::Tensor Z(blob->Get<caffe2::Tensor>(), caffe2::CPU);
EXPECT_EQ(Z.numel(), M * N);
std::vector<bool> result{
true, false, false, false, true, false, false, false};
for (const auto i : c10::irange(Z.numel())) {
EXPECT_EQ(Z.template data<bool>()[i], result[i]);
}
}
}
template <typename Context>
void elementwiseOr() {
const int N = 4;
const int M = 2;
caffe2::Workspace ws;
auto def = DefineOperator<Context>("Or");
{ // equal size
FillTensor<Context, uint8_t, bool>(
&ws, "X", {N}, {true, false, true, false});
FillTensor<Context, uint8_t, bool>(
&ws, "Y", {N}, {true, true, false, false});
std::unique_ptr<caffe2::OperatorBase> op(caffe2::CreateOperator(def, &ws));
EXPECT_NE(nullptr, op.get());
EXPECT_TRUE(op->Run());
auto* blob = ws.GetBlob("Z");
EXPECT_NE(nullptr, blob);
caffe2::Tensor Z(blob->Get<caffe2::Tensor>(), caffe2::CPU);
EXPECT_EQ(Z.numel(), N);
std::vector<bool> result{true, true, true, false};
for (const auto i : c10::irange(Z.numel())) {
EXPECT_EQ(Z.template data<bool>()[i], result[i]);
}
}
{ // broadcast
auto* arg = def.add_arg();
arg->set_name("broadcast");
arg->set_i(1);
FillTensor<Context, uint8_t, bool>(
&ws, "X", {M, N}, {true, false, true, false, true, false, true, false});
FillTensor<Context, uint8_t, bool>(
&ws, "Y", {N}, {true, true, false, false});
std::unique_ptr<caffe2::OperatorBase> op(caffe2::CreateOperator(def, &ws));
EXPECT_NE(nullptr, op.get());
EXPECT_TRUE(op->Run());
auto* blob = ws.GetBlob("Z");
EXPECT_NE(nullptr, blob);
caffe2::Tensor Z(blob->Get<caffe2::Tensor>(), caffe2::CPU);
EXPECT_EQ(Z.numel(), M * N);
std::vector<bool> result{true, true, true, false, true, true, true, false};
for (const auto i : c10::irange(Z.numel())) {
EXPECT_EQ(Z.template data<bool>()[i], result[i]);
}
}
}
template <typename Context>
void elementwiseXor() {
const int N = 4;
const int M = 2;
caffe2::Workspace ws;
auto def = DefineOperator<Context>("Xor");
{ // equal size
FillTensor<Context, uint8_t, bool>(
&ws, "X", {N}, {true, false, true, false});
FillTensor<Context, uint8_t, bool>(
&ws, "Y", {N}, {true, true, false, false});
std::unique_ptr<caffe2::OperatorBase> op(caffe2::CreateOperator(def, &ws));
EXPECT_NE(nullptr, op.get());
EXPECT_TRUE(op->Run());
auto* blob = ws.GetBlob("Z");
EXPECT_NE(nullptr, blob);
caffe2::Tensor Z(blob->Get<caffe2::Tensor>(), caffe2::CPU);
EXPECT_EQ(Z.numel(), N);
std::vector<bool> result{false, true, true, false};
for (const auto i : c10::irange(Z.numel())) {
EXPECT_EQ(Z.template data<bool>()[i], result[i]);
}
}
{ // broadcast
auto* arg = def.add_arg();
arg->set_name("broadcast");
arg->set_i(1);
FillTensor<Context, uint8_t, bool>(
&ws, "X", {M, N}, {true, false, true, false, true, false, true, false});
FillTensor<Context, uint8_t, bool>(
&ws, "Y", {N}, {true, true, false, false});
std::unique_ptr<caffe2::OperatorBase> op(caffe2::CreateOperator(def, &ws));
EXPECT_NE(nullptr, op.get());
EXPECT_TRUE(op->Run());
auto* blob = ws.GetBlob("Z");
EXPECT_NE(nullptr, blob);
caffe2::Tensor Z(blob->Get<caffe2::Tensor>(), caffe2::CPU);
EXPECT_EQ(Z.numel(), M * N);
std::vector<bool> result{
false, true, true, false, false, true, true, false};
for (const auto i : c10::irange(Z.numel())) {
EXPECT_EQ(Z.template data<bool>()[i], result[i]);
}
}
}
template <typename Context>
void elementwiseNot() {
const int N = 2;
caffe2::Workspace ws;
caffe2::OperatorDef def = CreateOperatorDef<Context>();
def.set_name("test");
def.set_type("Not");
def.add_input("X");
def.add_output("Y");
FillTensor<Context, uint8_t, bool>(&ws, "X", {N}, {true, false});
std::unique_ptr<caffe2::OperatorBase> op(caffe2::CreateOperator(def, &ws));
EXPECT_NE(nullptr, op.get());
EXPECT_TRUE(op->Run());
auto* blob = ws.GetBlob("Y");
EXPECT_NE(nullptr, blob);
caffe2::Tensor Y(blob->Get<caffe2::Tensor>(), caffe2::CPU);
EXPECT_EQ(Y.numel(), N);
std::vector<bool> result{false, true};
for (const auto i : c10::irange(Y.numel())) {
EXPECT_EQ(Y.template data<bool>()[i], result[i]);
}
}
template <typename Context>
void elementwiseEQ() {
const int N = 4;
const int M = 2;
caffe2::Workspace ws;
auto def = DefineOperator<Context>("EQ");
{ // equal size
FillTensor<Context, int32_t, int32_t>(&ws, "X", {N}, {1, 100, 5, -10});
FillTensor<Context, int32_t, int32_t>(&ws, "Y", {N}, {0, 100, 4, -10});
std::unique_ptr<caffe2::OperatorBase> op(caffe2::CreateOperator(def, &ws));
EXPECT_NE(nullptr, op.get());
EXPECT_TRUE(op->Run());
auto* blob = ws.GetBlob("Z");
EXPECT_NE(nullptr, blob);
caffe2::Tensor Z(blob->Get<caffe2::Tensor>(), caffe2::CPU);
EXPECT_EQ(Z.numel(), N);
std::vector<bool> result{false, true, false, true};
for (const auto i : c10::irange(Z.numel())) {
EXPECT_EQ(Z.template data<bool>()[i], result[i]);
}
}
{ // boolean
FillTensor<Context, uint8_t, bool>(
&ws, "X", {N}, {true, false, false, true});
FillTensor<Context, uint8_t, bool>(
&ws, "Y", {N}, {true, false, true, false});
std::unique_ptr<caffe2::OperatorBase> op(caffe2::CreateOperator(def, &ws));
EXPECT_NE(nullptr, op.get());
EXPECT_TRUE(op->Run());
auto* blob = ws.GetBlob("Z");
EXPECT_NE(nullptr, blob);
caffe2::Tensor Z(blob->Get<caffe2::Tensor>(), caffe2::CPU);
EXPECT_EQ(Z.numel(), N);
std::vector<bool> result{true, true, false, false};
for (const auto i : c10::irange(Z.numel())) {
EXPECT_EQ(Z.template data<bool>()[i], result[i]);
}
}
{ // broadcast
auto* arg = def.add_arg();
arg->set_name("broadcast");
arg->set_i(1);
FillTensor<Context, int32_t, int32_t>(
&ws, "X", {M, N}, {1, 100, 5, -10, 3, 6, -1000, 33});
FillTensor<Context, int32_t, int32_t>(&ws, "Y", {N}, {1, 6, -1000, -10});
std::unique_ptr<caffe2::OperatorBase> op(caffe2::CreateOperator(def, &ws));
EXPECT_NE(nullptr, op.get());
EXPECT_TRUE(op->Run());
auto* blob = ws.GetBlob("Z");
EXPECT_NE(nullptr, blob);
caffe2::Tensor Z(blob->Get<caffe2::Tensor>(), caffe2::CPU);
EXPECT_EQ(Z.numel(), M * N);
std::vector<bool> result{
true, false, false, true, false, true, true, false};
for (const auto i : c10::irange(Z.numel())) {
EXPECT_EQ(Z.template data<bool>()[i], result[i]);
}
}
}
#endif // CAFFE2_OPERATORS_ELEMENTWISE_OP_TEST_H_
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