mirror of
https://github.com/Relintai/pmlpp.git
synced 2024-12-22 15:06:47 +01:00
Uncomment and change add_row apis to add_feature_map in MLPPTensor3.
This commit is contained in:
parent
5c7c5593a6
commit
be0c2f11b5
@ -91,19 +91,6 @@ std::vector<std::vector<std::vector<real_t>>> MLPPTensor3::to_std_vector() {
|
||||
return ret;
|
||||
}
|
||||
|
||||
void MLPPTensor3::set_row_std_vector(int p_index_y, const std::vector<real_t> &p_row) {
|
||||
ERR_FAIL_COND(p_row.size() != static_cast<uint32_t>(_size.x));
|
||||
ERR_FAIL_INDEX(p_index_y, _size.y);
|
||||
|
||||
int ind_start = p_index_y * _size.x;
|
||||
|
||||
const real_t *row_ptr = &p_row[0];
|
||||
|
||||
for (int i = 0; i < _size.x; ++i) {
|
||||
_data[ind_start + i] = row_ptr[i];
|
||||
}
|
||||
}
|
||||
|
||||
MLPPTensor3::MLPPTensor3(const std::vector<std::vector<std::vector<real_t>>> &p_from) {
|
||||
_data = NULL;
|
||||
|
||||
|
||||
@ -27,21 +27,18 @@ public:
|
||||
return _data;
|
||||
}
|
||||
|
||||
/*
|
||||
_FORCE_INLINE_ void add_row(const Vector<real_t> &p_row) {
|
||||
_FORCE_INLINE_ void add_feature_map(const Vector<real_t> &p_row) {
|
||||
if (p_row.size() == 0) {
|
||||
return;
|
||||
}
|
||||
|
||||
if (_size.x == 0) {
|
||||
_size.x = p_row.size();
|
||||
}
|
||||
int fms = feature_map_data_size();
|
||||
|
||||
ERR_FAIL_COND(_size.x != p_row.size());
|
||||
ERR_FAIL_COND(fms != p_row.size());
|
||||
|
||||
int ci = data_size();
|
||||
|
||||
++_size.y;
|
||||
++_size.z;
|
||||
|
||||
_data = (real_t *)memrealloc(_data, data_size() * sizeof(real_t));
|
||||
CRASH_COND_MSG(!_data, "Out of memory");
|
||||
@ -53,20 +50,18 @@ public:
|
||||
}
|
||||
}
|
||||
|
||||
_FORCE_INLINE_ void add_row_pool_vector(const PoolRealArray &p_row) {
|
||||
_FORCE_INLINE_ void add_feature_map_pool_vector(const PoolRealArray &p_row) {
|
||||
if (p_row.size() == 0) {
|
||||
return;
|
||||
}
|
||||
|
||||
if (_size.x == 0) {
|
||||
_size.x = p_row.size();
|
||||
}
|
||||
int fms = feature_map_data_size();
|
||||
|
||||
ERR_FAIL_COND(_size.x != p_row.size());
|
||||
ERR_FAIL_COND(fms != p_row.size());
|
||||
|
||||
int ci = data_size();
|
||||
|
||||
++_size.y;
|
||||
++_size.z;
|
||||
|
||||
_data = (real_t *)memrealloc(_data, data_size() * sizeof(real_t));
|
||||
CRASH_COND_MSG(!_data, "Out of memory");
|
||||
@ -79,7 +74,7 @@ public:
|
||||
}
|
||||
}
|
||||
|
||||
_FORCE_INLINE_ void add_row_mlpp_vector(const Ref<MLPPVector> &p_row) {
|
||||
_FORCE_INLINE_ void add_feature_map_mlpp_vector(const Ref<MLPPVector> &p_row) {
|
||||
ERR_FAIL_COND(!p_row.is_valid());
|
||||
|
||||
int p_row_size = p_row->size();
|
||||
@ -88,15 +83,13 @@ public:
|
||||
return;
|
||||
}
|
||||
|
||||
if (_size.x == 0) {
|
||||
_size.x = p_row_size;
|
||||
}
|
||||
int fms = feature_map_data_size();
|
||||
|
||||
ERR_FAIL_COND(_size.x != p_row_size);
|
||||
ERR_FAIL_COND(fms != p_row_size);
|
||||
|
||||
int ci = data_size();
|
||||
|
||||
++_size.y;
|
||||
++_size.z;
|
||||
|
||||
_data = (real_t *)memrealloc(_data, data_size() * sizeof(real_t));
|
||||
CRASH_COND_MSG(!_data, "Out of memory");
|
||||
@ -108,41 +101,38 @@ public:
|
||||
}
|
||||
}
|
||||
|
||||
_FORCE_INLINE_ void add_rows_mlpp_matrix(const Ref<MLPPMatrix> &p_other) {
|
||||
ERR_FAIL_COND(!p_other.is_valid());
|
||||
_FORCE_INLINE_ void add_feature_map_mlpp_matrix(const Ref<MLPPMatrix> &p_matrix) {
|
||||
ERR_FAIL_COND(!p_matrix.is_valid());
|
||||
|
||||
int other_data_size = p_other->data_size();
|
||||
int other_data_size = p_matrix->data_size();
|
||||
|
||||
if (other_data_size == 0) {
|
||||
return;
|
||||
}
|
||||
|
||||
Size2i other_size = p_other->size();
|
||||
Size2i matrix_size = p_matrix->size();
|
||||
Size2i fms = feature_map_size();
|
||||
|
||||
if (_size.x == 0) {
|
||||
_size.x = other_size.x;
|
||||
}
|
||||
|
||||
ERR_FAIL_COND(other_size.x != _size.x);
|
||||
ERR_FAIL_COND(fms != matrix_size);
|
||||
|
||||
int start_offset = data_size();
|
||||
|
||||
_size.y += other_size.y;
|
||||
++_size.z;
|
||||
|
||||
_data = (real_t *)memrealloc(_data, data_size() * sizeof(real_t));
|
||||
CRASH_COND_MSG(!_data, "Out of memory");
|
||||
|
||||
const real_t *other_ptr = p_other->ptr();
|
||||
const real_t *other_ptr = p_matrix->ptr();
|
||||
|
||||
for (int i = 0; i < other_data_size; ++i) {
|
||||
_data[start_offset + i] = other_ptr[i];
|
||||
}
|
||||
}
|
||||
|
||||
void remove_row(real_t p_index) {
|
||||
ERR_FAIL_INDEX(p_index, _size.y);
|
||||
void remove_feature_map(int p_index) {
|
||||
ERR_FAIL_INDEX(p_index, _size.z);
|
||||
|
||||
--_size.y;
|
||||
--_size.z;
|
||||
|
||||
int ds = data_size();
|
||||
|
||||
@ -152,8 +142,10 @@ public:
|
||||
return;
|
||||
}
|
||||
|
||||
for (int i = p_index * _size.x; i < ds; ++i) {
|
||||
_data[i] = _data[i + _size.x];
|
||||
int fmds = feature_map_data_size();
|
||||
|
||||
for (int i = calculate_feature_map_index(p_index); i < ds; ++i) {
|
||||
_data[i] = _data[i + fmds];
|
||||
}
|
||||
|
||||
_data = (real_t *)memrealloc(_data, data_size() * sizeof(real_t));
|
||||
@ -162,10 +154,10 @@ public:
|
||||
|
||||
// Removes the item copying the last value into the position of the one to
|
||||
// remove. It's generally faster than `remove`.
|
||||
void remove_row_unordered(int p_index) {
|
||||
ERR_FAIL_INDEX(p_index, _size.y);
|
||||
void remove_feature_map_unordered(int p_index) {
|
||||
ERR_FAIL_INDEX(p_index, _size.z);
|
||||
|
||||
--_size.y;
|
||||
--_size.z;
|
||||
|
||||
int ds = data_size();
|
||||
|
||||
@ -175,8 +167,8 @@ public:
|
||||
return;
|
||||
}
|
||||
|
||||
int start_ind = p_index * _size.x;
|
||||
int end_ind = (p_index + 1) * _size.x;
|
||||
int start_ind = calculate_feature_map_index(p_index);
|
||||
int end_ind = calculate_feature_map_index(p_index + 1);
|
||||
|
||||
for (int i = start_ind; i < end_ind; ++i) {
|
||||
_data[i] = _data[ds + i];
|
||||
@ -186,18 +178,19 @@ public:
|
||||
CRASH_COND_MSG(!_data, "Out of memory");
|
||||
}
|
||||
|
||||
void swap_row(int p_index_1, int p_index_2) {
|
||||
ERR_FAIL_INDEX(p_index_1, _size.y);
|
||||
ERR_FAIL_INDEX(p_index_2, _size.y);
|
||||
void swap_feature_map(int p_index_1, int p_index_2) {
|
||||
ERR_FAIL_INDEX(p_index_1, _size.z);
|
||||
ERR_FAIL_INDEX(p_index_2, _size.z);
|
||||
|
||||
int ind1_start = p_index_1 * _size.x;
|
||||
int ind2_start = p_index_2 * _size.x;
|
||||
int ind1_start = calculate_feature_map_index(p_index_1);
|
||||
int ind2_start = calculate_feature_map_index(p_index_2);
|
||||
|
||||
for (int i = 0; i < _size.x; ++i) {
|
||||
int fmds = feature_map_data_size();
|
||||
|
||||
for (int i = 0; i < fmds; ++i) {
|
||||
SWAP(_data[ind1_start + i], _data[ind2_start + i]);
|
||||
}
|
||||
}
|
||||
*/
|
||||
|
||||
_FORCE_INLINE_ void clear() { resize(Size3i()); }
|
||||
_FORCE_INLINE_ void reset() {
|
||||
@ -209,6 +202,8 @@ public:
|
||||
}
|
||||
|
||||
_FORCE_INLINE_ bool empty() const { return _size == Size3i(); }
|
||||
_FORCE_INLINE_ int feature_map_data_size() const { return _size.x * _size.y; }
|
||||
_FORCE_INLINE_ Size2i feature_map_size() const { return Size2i(_size.x, _size.y); }
|
||||
_FORCE_INLINE_ int data_size() const { return _size.x * _size.y * _size.z; }
|
||||
_FORCE_INLINE_ Size3i size() const { return _size; }
|
||||
|
||||
@ -234,6 +229,10 @@ public:
|
||||
return p_index_y * _size.x + p_index_x + _size.x * _size.y * p_index_z;
|
||||
}
|
||||
|
||||
_FORCE_INLINE_ int calculate_feature_map_index(int p_index_z) const {
|
||||
return _size.x * _size.y * p_index_z;
|
||||
}
|
||||
|
||||
_FORCE_INLINE_ const real_t &operator[](int p_index) const {
|
||||
CRASH_BAD_INDEX(p_index, data_size());
|
||||
return _data[p_index];
|
||||
@ -669,7 +668,6 @@ public:
|
||||
std::vector<real_t> to_flat_std_vector() const;
|
||||
void set_from_std_vectors(const std::vector<std::vector<std::vector<real_t>>> &p_from);
|
||||
std::vector<std::vector<std::vector<real_t>>> to_std_vector();
|
||||
void set_row_std_vector(int p_index_y, const std::vector<real_t> &p_row);
|
||||
MLPPTensor3(const std::vector<std::vector<std::vector<real_t>>> &p_from);
|
||||
|
||||
protected:
|
||||
|
||||
Loading…
Reference in New Issue
Block a user