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* Licensed to the Apache Software Foundation (ASF) under one

* or more contributor license agreements. See the NOTICE file

* distributed with this work for additional information

* regarding copyright ownership. The ASF licenses this file

* to you 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 "mxnet/c_api.h" // MXGetGPUCount()

#include "mxnet-cpp/MxNetCpp.h"

using namespace mxnet::cpp;

static bool test_single_key(const Context &context, const std::string &context_str) {

std::string key = "singlekeytest-" + context_str;

NDArray result(Shape(4), context);

NDArray result_cpu;

// initialize data

NDArray data_cpu({0.f, 233.f, -0.12f, 9.f}, Shape(4), Context::cpu());

NDArray data = data_cpu.Copy(context);

NDArray::WaitAll();

KVStore::Init(key, data);

NDArray::WaitAll();

// retrieve result

KVStore::Pull(key, &result);

NDArray::WaitAll();

result_cpu = result.Copy(Context::cpu());

NDArray::WaitAll();

// compare

for (size_t j=0; j < result_cpu.Size(); j++) {

if (result_cpu.GetData()[j] != data_cpu.GetData()[j]) {

LG << "Error: wrong initialized data in singlekeytest-" << context_str

<< ", expect " << data_cpu.GetData()[j]

<< " got " << result_cpu.GetData()[j];

return false;

}

// push gradient

NDArray grad_cpu({0.1f, -2.f, -4.4f, 0.f}, Shape(4), Context::cpu());

NDArray grad = grad_cpu.Copy(context);

NDArray::WaitAll();

KVStore::Push(key, grad);

NDArray::WaitAll();

// retrieve result

KVStore::Pull(key, &result);

NDArray::WaitAll();

result_cpu = result.Copy(Context::cpu());

NDArray::WaitAll();

// compare

for (size_t j=0; j < result_cpu.Size(); j++) {

if (result_cpu.GetData()[j] != grad_cpu.GetData()[j]) {

LG << "Error: wrong gradient data in singlekeytest-" << context_str

<< ", expect " << grad_cpu.GetData()[j]

<< " got " << result_cpu.GetData()[j];

return false;

}

return true;

}

static bool test_multiple_key(const Context &context, const std::string &context_str) {

std::vector<std::string> keys(2);

keys[0] = "multikeytest-0-" + context_str;

keys[1] = "multikeytest-1-" + context_str;

std::vector<NDArray> results(2);

results[0] = NDArray(Shape(4), context);

results[1] = NDArray(Shape(4), context);

std::vector<NDArray> results_cpu(2);

// initialize data

std::vector<NDArray> data_cpu(2);

data_cpu[0] = NDArray({0.f, 2.f, -3.12f, 4.f}, Shape(4), Context::cpu());

data_cpu[1] = NDArray({0.8f, -2.f, 6.6f, 77.f}, Shape(4), Context::cpu());

std::vector<NDArray> data(2);

data[0] = data_cpu[0].Copy(context);

data[1] = data_cpu[1].Copy(context);

NDArray::WaitAll();

KVStore::Init(keys, data);

NDArray::WaitAll();

// retrieve result

KVStore::Pull(keys, &results);

NDArray::WaitAll();

results_cpu[0] = results[0].Copy(Context::cpu());

results_cpu[1] = results[1].Copy(Context::cpu());

NDArray::WaitAll();

// compare

for (size_t i=0; i < results_cpu.size(); i++) {

for (size_t j=0; j < results_cpu[i].Size(); j++) {

if (results_cpu[i].GetData()[j] != data_cpu[i].GetData()[j]) {

LG << "Error: wrong initialized data in multikeytest-" << context_str

<< ", expect " << data_cpu[i].GetData()[j]

<< " got " << results_cpu[i].GetData()[j];

return false;

}

// push gradient, reduce for the second

std::vector<std::string> push_keys(3);

push_keys[0] = "multikeytest-0-" + context_str;

push_keys[1] = "multikeytest-1-" + context_str;

push_keys[2] = "multikeytest-1-" + context_str;

std::vector<NDArray> grads_cpu(3);

grads_cpu[0] = NDArray({0.2f, -0.3f, -1.1f, 0.0f}, Shape(4), Context::cpu());

grads_cpu[1] = NDArray({2.f, 4.f, -4.f, -5.f}, Shape(4), Context::cpu());

grads_cpu[2] = NDArray({-3.f, -0.2f, 12.f, -9.f}, Shape(4), Context::cpu());

std::vector<NDArray> grads(3);

grads[0] = grads_cpu[0].Copy(context);

grads[1] = grads_cpu[1].Copy(context);

grads[2] = grads_cpu[2].Copy(context);

NDArray::WaitAll();

KVStore::Push(push_keys, grads);

NDArray::WaitAll();

// retrieve result

KVStore::Pull(keys, &results);

NDArray::WaitAll();

results_cpu[0] = results[0].Copy(Context::cpu());

results_cpu[1] = results[1].Copy(Context::cpu());

NDArray::WaitAll();

// compare the first

for (size_t j=0; j < results_cpu[0].Size(); j++) {

if (results_cpu[0].GetData()[j] != grads_cpu[0].GetData()[j]) {

LG << "Error: wrong gradient data in multikeytest-" << context_str

<< ", expect " << grads_cpu[0].GetData()[j]

<< " got " << results_cpu[0].GetData()[j];

return false;

}

// compare the second

for (size_t j=0; j < results_cpu[1].Size(); j++) {

if (results_cpu[1].GetData()[j] != (grads_cpu[1].GetData()[j] + grads_cpu[2].GetData()[j])) {

LG << "Error: wrong reduced gradient data in multikeytest-" << context_str

<< ", expect " << (grads_cpu[1].GetData()[j] + grads_cpu[2].GetData()[j])

<< " got " << results_cpu[1].GetData()[j];

return false;

}

return true;

}

int main(int argc, char** argv) {

KVStore::SetType("local");

bool success1 = test_single_key(Context::cpu(), "cpu");

bool success2 = test_multiple_key(Context::cpu(), "cpu");

bool success3 = true;

bool success4 = true;

int gpu_count = 0;

if (MXGetGPUCount(&gpu_count) != 0) {

LG << "Error: MXGetGPUCount";

MXNotifyShutdown();

return 1;

}

if (gpu_count > 0) {

success3 = test_single_key(Context::gpu(), "gpu");

success4 = test_multiple_key(Context::gpu(), "gpu");

}

int ret = (success1 && success2 && success3 && success4) ? 0 : 1;

MXNotifyShutdown();

return ret;

}

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