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Fixed MLPPTensor3::set_from_std_vectors().
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@ -2223,26 +2223,25 @@ void MLPPTensor3::set_from_std_vectors(const std::vector<std::vector<std::vector
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return;
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}
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resize(Size3i(p_from[1].size(), p_from[0].size(), p_from.size()));
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resize(Size3i(p_from[0][0].size(), p_from[0].size(), p_from.size()));
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if (data_size() == 0) {
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reset();
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return;
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}
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for (uint32_t k = 0; k < p_from.size(); ++k) {
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const std::vector<std::vector<real_t>> &fm = p_from[k];
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for (uint32_t z = 0; z < p_from.size(); ++z) {
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const std::vector<std::vector<real_t>> &vxy = p_from[z];
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for (uint32_t i = 0; i < p_from.size(); ++i) {
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const std::vector<real_t> &r = fm[i];
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for (uint32_t y = 0; y < vxy.size(); ++y) {
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ERR_CONTINUE(vxy.size() != static_cast<uint32_t>(_size.y));
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ERR_CONTINUE(r.size() != static_cast<uint32_t>(_size.x));
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const std::vector<real_t> &vx = vxy[y];
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int start_index = i * _size.x;
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ERR_CONTINUE(vx.size() != static_cast<uint32_t>(_size.x));
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const real_t *from_ptr = &r[0];
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for (int j = 0; j < _size.x; j++) {
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_data[start_index + j] = from_ptr[j];
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for (uint32_t x = 0; x < vx.size(); ++x) {
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element_set(y, x, z, vx[x]);
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}
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}
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}
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