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[MXNET-400] support string type for kvstore key in cpp-package (apach…
…e#10792) * Kvstore strkey (apache#2) * support string type for kvstore key in cpp-package * make lines short * fix build * add kvstore testcase * no rand() use * fix cpplint sanity check * support string type for kvstore key in cpp-package * make lines short * fix build * print error log * Update test_kvstore.cpp * update * add gpu unittest * check gpu count * fix sanity check
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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" | ||
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| using namespace mxnet::cpp; | ||
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| static bool test_single_key(const Context &context, const std::string &context_str) { | ||
| std::string key = "singlekeytest-" + context_str; | ||
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| NDArray result(Shape(4), context); | ||
| NDArray result_cpu; | ||
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| // 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(); | ||
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| KVStore::Init(key, data); | ||
| NDArray::WaitAll(); | ||
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| // retrieve result | ||
| KVStore::Pull(key, &result); | ||
| NDArray::WaitAll(); | ||
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| result_cpu = result.Copy(Context::cpu()); | ||
| NDArray::WaitAll(); | ||
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| // 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; | ||
| } | ||
| } | ||
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| // 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(); | ||
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| KVStore::Push(key, grad); | ||
| NDArray::WaitAll(); | ||
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| // retrieve result | ||
| KVStore::Pull(key, &result); | ||
| NDArray::WaitAll(); | ||
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| result_cpu = result.Copy(Context::cpu()); | ||
| NDArray::WaitAll(); | ||
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| // 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; | ||
| } | ||
| } | ||
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| return true; | ||
| } | ||
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| 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; | ||
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| std::vector<NDArray> results(2); | ||
| results[0] = NDArray(Shape(4), context); | ||
| results[1] = NDArray(Shape(4), context); | ||
| std::vector<NDArray> results_cpu(2); | ||
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| // 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(); | ||
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| KVStore::Init(keys, data); | ||
| NDArray::WaitAll(); | ||
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| // retrieve result | ||
| KVStore::Pull(keys, &results); | ||
| NDArray::WaitAll(); | ||
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| results_cpu[0] = results[0].Copy(Context::cpu()); | ||
| results_cpu[1] = results[1].Copy(Context::cpu()); | ||
| NDArray::WaitAll(); | ||
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| // 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; | ||
| } | ||
| } | ||
| } | ||
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| // 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; | ||
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| 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(); | ||
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| KVStore::Push(push_keys, grads); | ||
| NDArray::WaitAll(); | ||
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| // retrieve result | ||
| KVStore::Pull(keys, &results); | ||
| NDArray::WaitAll(); | ||
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| results_cpu[0] = results[0].Copy(Context::cpu()); | ||
| results_cpu[1] = results[1].Copy(Context::cpu()); | ||
| NDArray::WaitAll(); | ||
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| // 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; | ||
| } | ||
| } | ||
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| // 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; | ||
| } | ||
| } | ||
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| return true; | ||
| } | ||
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| int main(int argc, char** argv) { | ||
| KVStore::SetType("local"); | ||
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| bool success1 = test_single_key(Context::cpu(), "cpu"); | ||
| bool success2 = test_multiple_key(Context::cpu(), "cpu"); | ||
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| bool success3 = true; | ||
| bool success4 = true; | ||
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| int gpu_count = 0; | ||
| if (MXGetGPUCount(&gpu_count) != 0) { | ||
| LG << "Error: MXGetGPUCount"; | ||
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| MXNotifyShutdown(); | ||
| return 1; | ||
| } | ||
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| if (gpu_count > 0) { | ||
| success3 = test_single_key(Context::gpu(), "gpu"); | ||
| success4 = test_multiple_key(Context::gpu(), "gpu"); | ||
| } | ||
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| int ret = (success1 && success2 && success3 && success4) ? 0 : 1; | ||
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| MXNotifyShutdown(); | ||
| return ret; | ||
| } |
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