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condition_cache_utils.hpp
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64 lines (51 loc) · 1.91 KB
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#ifndef __CONDITION_CACHE_UTILS_HPP__
#define __CONDITION_CACHE_UTILS_HPP__
#include <vector>
#include "tensor.hpp"
namespace sd {
inline bool store_condition_cache_diff(std::vector<float>* diff,
const sd::Tensor<float>& input,
const sd::Tensor<float>& output) {
if (diff == nullptr || input.empty() || output.empty()) {
return false;
}
size_t input_size = static_cast<size_t>(input.numel());
size_t output_size = static_cast<size_t>(output.numel());
if (input_size == 0 || input_size != output_size) {
diff->clear();
return false;
}
const float* input_data = input.data();
const float* output_data = output.data();
if (input_data == nullptr || output_data == nullptr) {
diff->clear();
return false;
}
diff->resize(output_size);
for (size_t i = 0; i < output_size; ++i) {
(*diff)[i] = output_data[i] - input_data[i];
}
return true;
}
inline bool apply_condition_cache_diff(const std::vector<float>& diff,
const sd::Tensor<float>& input,
sd::Tensor<float>* output) {
if (output == nullptr || input.empty() || diff.empty()) {
return false;
}
size_t input_size = static_cast<size_t>(input.numel());
if (input_size == 0 || diff.size() != input_size) {
return false;
}
*output = input;
float* output_data = output->data();
if (output_data == nullptr) {
return false;
}
for (size_t i = 0; i < input_size; ++i) {
output_data[i] += diff[i];
}
return true;
}
} // namespace sd
#endif // __CONDITION_CACHE_UTILS_HPP__