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* Copyright (c) 2020-2022, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright notice, this list of
* conditions and the following disclaimer in the documentation and/or other materials
* provided with the distribution.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
* FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
* OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
* STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
/** @file optimizer.cu
* @author Thomas Müller, NVIDIA
* @brief API interface of optimizers that can be used to train models.
*/
#include <tiny-cuda-nn/optimizer.h>
#include <tiny-cuda-nn/optimizers/adam.h>
#include <tiny-cuda-nn/optimizers/average.h>
#include <tiny-cuda-nn/optimizers/batched.h>
#include <tiny-cuda-nn/optimizers/composite.h>
#include <tiny-cuda-nn/optimizers/ema.h>
#include <tiny-cuda-nn/optimizers/exponential_decay.h>
#include <tiny-cuda-nn/optimizers/lookahead.h>
#include <tiny-cuda-nn/optimizers/novograd.h>
#include <tiny-cuda-nn/optimizers/sgd.h>
#ifdef TCNN_SHAMPOO
#include <tiny-cuda-nn/optimizers/shampoo.h>
#endif
TCNN_NAMESPACE_BEGIN
template <typename T>
Optimizer<T>* create_optimizer(const json& optimizer) {
std::string optimizer_type = optimizer.value("otype", "Adam");
if (equals_case_insensitive(optimizer_type, "Adam")) {
return new AdamOptimizer<T>{optimizer};
} else if (equals_case_insensitive(optimizer_type, "Average")) {
return new AverageOptimizer<T>{optimizer};
} else if (equals_case_insensitive(optimizer_type, "Batched")) {
return new BatchedOptimizer<T>{optimizer};
} else if (equals_case_insensitive(optimizer_type, "Composite")) {
return new CompositeOptimizer<T>{optimizer};
} else if (equals_case_insensitive(optimizer_type, "Ema")) {
return new EmaOptimizer<T>{optimizer};
} else if (equals_case_insensitive(optimizer_type, "ExponentialDecay")) {
return new ExponentialDecayOptimizer<T>{optimizer};
} else if (equals_case_insensitive(optimizer_type, "Lookahead")) {
return new LookaheadOptimizer<T>{optimizer};
} else if (equals_case_insensitive(optimizer_type, "Novograd")) {
return new NovogradOptimizer<T>{optimizer};
} else if (equals_case_insensitive(optimizer_type, "SGD")) {
return new SGDOptimizer<T>{optimizer};
} else if (equals_case_insensitive(optimizer_type, "Shampoo")) {
#ifdef TCNN_SHAMPOO
return new ShampooOptimizer<T>{optimizer};
#else
throw std::runtime_error{"The Shampoo optimizer is only available when compiling with CUDA 11 or higher."};
#endif
} else {
throw std::runtime_error{fmt::format("Invalid optimizer type: {}", optimizer_type)};
}
}
template Optimizer<float>* create_optimizer(const json& optimizer);
template Optimizer<__half>* create_optimizer(const json& optimizer);
TCNN_NAMESPACE_END
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