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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 encoding.cu
* @author Thomas Müller, NVIDIA
* @brief API interface for input encodings
*/
#include <tiny-cuda-nn/encoding.h>
#include <tiny-cuda-nn/encodings/composite.h>
#include <tiny-cuda-nn/encodings/frequency.h>
#include <tiny-cuda-nn/encodings/grid.h>
#include <tiny-cuda-nn/encodings/identity.h>
#include <tiny-cuda-nn/encodings/oneblob.h>
#include <tiny-cuda-nn/encodings/spherical_harmonics.h>
#include <tiny-cuda-nn/encodings/triangle_wave.h>
TCNN_NAMESPACE_BEGIN
InterpolationType string_to_interpolation_type(const std::string& interpolation_type) {
if (equals_case_insensitive(interpolation_type, "Nearest")) {
return InterpolationType::Nearest;
} else if (equals_case_insensitive(interpolation_type, "Linear")) {
return InterpolationType::Linear;
} else if (equals_case_insensitive(interpolation_type, "Smoothstep")) {
return InterpolationType::Smoothstep;
}
throw std::runtime_error{fmt::format("Invalid interpolation type: {}", interpolation_type)};
}
std::string to_string(InterpolationType interpolation_type) {
switch (interpolation_type) {
case InterpolationType::Nearest: return "Nearest";
case InterpolationType::Linear: return "Linear";
case InterpolationType::Smoothstep: return "Smoothstep";
default: throw std::runtime_error{"Invalid interpolation type."};
}
}
ReductionType string_to_reduction_type(const std::string& reduction_type) {
if (equals_case_insensitive(reduction_type, "Concatenation")) {
return ReductionType::Concatenation;
} else if (equals_case_insensitive(reduction_type, "Sum")) {
return ReductionType::Sum;
} else if (equals_case_insensitive(reduction_type, "Product")) {
return ReductionType::Product;
}
throw std::runtime_error{fmt::format("Invalid reduction type: {}", reduction_type)};
}
std::string to_string(ReductionType reduction_type) {
switch (reduction_type) {
case ReductionType::Concatenation: return "Concatenation";
case ReductionType::Sum: return "Sum";
case ReductionType::Product: return "Product";
default: throw std::runtime_error{"Invalid reduction type."};
}
}
template <typename T>
Encoding<T>* create_encoding(uint32_t n_dims_to_encode, const json& encoding, uint32_t alignment) {
std::string encoding_type = encoding.value("otype", "OneBlob");
Encoding<T>* result;
if (equals_case_insensitive(encoding_type, "Composite")) {
result = new CompositeEncoding<T>{
encoding,
n_dims_to_encode,
};
} else if (equals_case_insensitive(encoding_type, "Identity")) {
result = new IdentityEncoding<T>{
n_dims_to_encode,
encoding.value("scale", 1.0f),
encoding.value("offset", 0.0f),
};
} else if (equals_case_insensitive(encoding_type, "Frequency")) {
result = new FrequencyEncoding<T>{
encoding.value("n_frequencies", 12u),
n_dims_to_encode,
};
} else if (equals_case_insensitive(encoding_type, "TriangleWave")) {
result = new TriangleWaveEncoding<T>{
encoding.value("n_frequencies", 12u),
n_dims_to_encode,
};
} else if (equals_case_insensitive(encoding_type, "SphericalHarmonics")) {
result = new SphericalHarmonicsEncoding<T>{
encoding.value("degree", 4u),
n_dims_to_encode,
};
} else if (equals_case_insensitive(encoding_type, "OneBlob")) {
result = new OneBlobEncoding<T>{encoding.value("n_bins", 16u), n_dims_to_encode};
} else if (equals_case_insensitive(encoding_type, "OneBlobFrequency") || equals_case_insensitive(encoding_type, "NRC")) {
json nrc_composite = {
{"otype", "Composite"},
{"nested", {
{
{"n_dims_to_encode", 3},
{"otype", "TriangleWave"},
{"n_frequencies", encoding.value("n_frequencies", 12u)},
}, {
{"n_dims_to_encode", 5},
{"otype", "OneBlob"},
{"n_bins", encoding.value("n_bins", 4u)},
}, {
{"otype", "Identity"},
},
}},
};
result = new CompositeEncoding<T>{
nrc_composite,
n_dims_to_encode,
};
} else if (
equals_case_insensitive(encoding_type, "Grid") ||
equals_case_insensitive(encoding_type, "HashGrid") ||
equals_case_insensitive(encoding_type, "TiledGrid") ||
equals_case_insensitive(encoding_type, "DenseGrid")
) {
result = create_grid_encoding<T>(n_dims_to_encode, encoding);
} else {
throw std::runtime_error{fmt::format("Invalid encoding type: {}", encoding_type)};
}
if (alignment > 0) {
result->set_alignment(alignment);
}
return result;
}
#if TCNN_HALF_PRECISION
template Encoding<__half>* create_encoding(uint32_t n_dims_to_encode, const json& encoding, uint32_t alignment);
#endif
template Encoding<float>* create_encoding(uint32_t n_dims_to_encode, const json& encoding, uint32_t alignment);
TCNN_NAMESPACE_END
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