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Reordered some of the parameters in MLPPTensor3 to the way the old apis used to expect them.

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Relintai 2023-12-29 18:57:31 +01:00
parent ab24693f37
commit 2fb3c086e3
3 changed files with 38 additions and 38 deletions
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2
mlpp/convolutions/convolutions.cpp
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@ -161,7 +161,7 @@ Ref<MLPPTensor3> MLPPConvolutions::convolve_3d(const Ref<MLPPTensor3> &p_input,
}
}
feature_map->element_set(i, j, c, convolving_input->dot(filter_flattened));
feature_map->element_set(c,i, j, convolving_input->dot(filter_flattened));
}
}
}

62
mlpp/lin_alg/mlpp_tensor3.cpp
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@ -329,7 +329,7 @@ void MLPPTensor3::row_get_into_mlpp_vector(int p_index_z, int p_index_y, Ref<MLP
}
}
void MLPPTensor3::row_set_vector(int p_index_y, int p_index_z, const Vector<real_t> &p_row) {
void MLPPTensor3::row_set_vector(int p_index_z, int p_index_y, const Vector<real_t> &p_row) {
ERR_FAIL_COND(p_row.size() != _size.x);
ERR_FAIL_INDEX(p_index_y, _size.y);
ERR_FAIL_INDEX(p_index_z, _size.z);
@ -343,7 +343,7 @@ void MLPPTensor3::row_set_vector(int p_index_y, int p_index_z, const Vector<real
}
}
void MLPPTensor3::row_set_pool_vector(int p_index_y, int p_index_z, const PoolRealArray &p_row) {
void MLPPTensor3::row_set_pool_vector(int p_index_z, int p_index_y, const PoolRealArray &p_row) {
ERR_FAIL_COND(p_row.size() != _size.x);
ERR_FAIL_INDEX(p_index_y, _size.y);
ERR_FAIL_INDEX(p_index_z, _size.z);
@ -358,7 +358,7 @@ void MLPPTensor3::row_set_pool_vector(int p_index_y, int p_index_z, const PoolRe
}
}
void MLPPTensor3::row_set_mlpp_vector(int p_index_y, int p_index_z, const Ref<MLPPVector> &p_row) {
void MLPPTensor3::row_set_mlpp_vector(int p_index_z, int p_index_y, const Ref<MLPPVector> &p_row) {
ERR_FAIL_COND(!p_row.is_valid());
ERR_FAIL_COND(p_row->size() != _size.x);
ERR_FAIL_INDEX(p_index_y, _size.y);
@ -586,7 +586,7 @@ void MLPPTensor3::x_slice_get_into(int p_index_x, Ref<MLPPMatrix> target) const
for (int z = 0; z < _size.z; ++z) {
for (int y = 0; y < _size.y; ++y) {
target->element_set(z, y, element_get(p_index_x, y, z));
target->element_set(z, y, element_get(z, p_index_x, y));
}
}
}
@ -607,7 +607,7 @@ void MLPPTensor3::x_slice_set(int p_index_x, const Ref<MLPPMatrix> &p_mat) {
for (int z = 0; z < _size.z; ++z) {
for (int y = 0; y < _size.y; ++y) {
element_set(p_index_x, y, z, p_mat->element_get(z, y));
element_set(z, p_index_x, y, p_mat->element_get(z, y));
}
}
}
@ -622,7 +622,7 @@ void MLPPTensor3::y_slice_get_into(int p_index_y, Ref<MLPPMatrix> target) const
for (int z = 0; z < _size.z; ++z) {
for (int x = 0; x < _size.x; ++x) {
target->element_set(z, x, element_get(x, p_index_y, z));
target->element_set(z, x, element_get(z, x, p_index_y));
}
}
}
@ -643,7 +643,7 @@ void MLPPTensor3::y_slice_set(int p_index_y, const Ref<MLPPMatrix> &p_mat) {
for (int z = 0; z < _size.z; ++z) {
for (int x = 0; x < _size.x; ++x) {
element_set(x, p_index_y, z, p_mat->element_get(z, x));
element_set(z, x, p_index_y, p_mat->element_get(z, x));
}
}
}
@ -701,7 +701,7 @@ void MLPPTensor3::z_slices_add_image(const Ref<Image> &p_img, const int p_channe
Color c = img->get_pixel(x, y);
for (int i = 0; i < channel_count; ++i) {
element_set(y, x, start_channel + i, c[channels[i]]);
element_set(start_channel + i, y, x, c[channels[i]]);
}
}
}
@ -772,19 +772,19 @@ Ref<Image> MLPPTensor3::z_slices_get_image(const int p_index_r, const int p_inde
Color c;
if (p_index_r != -1) {
c.r = element_get(y, x, p_index_r);
c.r = element_get(p_index_r, y, x);
}
if (p_index_g != -1) {
c.g = element_get(y, x, p_index_g);
c.g = element_get(p_index_g, y, x);
}
if (p_index_b != -1) {
c.b = element_get(y, x, p_index_b);
c.b = element_get(p_index_b, y, x);
}
if (p_index_a != -1) {
c.a = element_get(y, x, p_index_a);
c.a = element_get(p_index_a, y, x);
}
image->set_pixel(x, y, c);
@ -851,7 +851,7 @@ void MLPPTensor3::z_slice_get_into_image(Ref<Image> p_target, const int p_index_
for (int x = 0; x < fms.x; ++x) {
Color c;
float e = element_get(y, x, p_index_z);
float e = element_get(p_index_z, y, x);
for (int i = 0; i < channel_count; ++i) {
c[channels[i]] = e;
@ -909,19 +909,19 @@ void MLPPTensor3::z_slices_get_into_image(Ref<Image> p_target, const int p_index
Color c;
if (p_index_r != -1) {
c.r = element_get(y, x, p_index_r);
c.r = element_get(p_index_r, y, x);
}
if (p_index_g != -1) {
c.g = element_get(y, x, p_index_g);
c.g = element_get(p_index_g, y, x);
}
if (p_index_b != -1) {
c.b = element_get(y, x, p_index_b);
c.b = element_get(p_index_b, y, x);
}
if (p_index_a != -1) {
c.a = element_get(y, x, p_index_a);
c.a = element_get(p_index_a, y, x);
}
p_target->set_pixel(x, y, c);
@ -959,7 +959,7 @@ void MLPPTensor3::z_slice_set_image(const Ref<Image> &p_img, const int p_index_z
for (int x = 0; x < fms.x; ++x) {
Color c = img->get_pixel(x, y);
element_set(y, x, p_index_z, c[channel_index]);
element_set(p_index_z, y, x, c[channel_index]);
}
}
@ -998,19 +998,19 @@ void MLPPTensor3::z_slices_set_image(const Ref<Image> &p_img, const int p_index_
Color c = img->get_pixel(x, y);
if (p_index_r != -1) {
element_set(y, x, p_index_r, c.r);
element_set(p_index_r, y, x, c.r);
}
if (p_index_g != -1) {
element_set(y, x, p_index_g, c.g);
element_set(p_index_g, y, x, c.g);
}
if (p_index_b != -1) {
element_set(y, x, p_index_b, c.b);
element_set(p_index_b, y, x, c.b);
}
if (p_index_a != -1) {
element_set(y, x, p_index_a, c.a);
element_set(p_index_a, y, x, c.a);
}
}
}
@ -1061,7 +1061,7 @@ void MLPPTensor3::set_from_image(const Ref<Image> &p_img, const int p_channels)
Color c = img->get_pixel(x, y);
for (int i = 0; i < channel_count; ++i) {
element_set(y, x, i, c[channels[i]]);
element_set(i, y, x, c[channels[i]]);
}
}
}
@ -1088,7 +1088,7 @@ Ref<Image> MLPPTensor3::x_slice_get_image(const int p_index_x) const {
for (int z = 0; z < _size.z; ++z) {
for (int y = 0; y < _size.y; ++y) {
wptr[i] = static_cast<uint8_t>(element_get(p_index_x, y, z) * 255.0);
wptr[i] = static_cast<uint8_t>(element_get(z, p_index_x, y) * 255.0);
++i;
}
@ -1153,7 +1153,7 @@ void MLPPTensor3::x_slice_get_into_image(Ref<Image> p_target, const int p_index_
for (int z = 0; z < fms.x; ++z) {
Color c;
float e = element_get(y, p_index_x, z);
float e = element_get(z, y, p_index_x);
for (int i = 0; i < channel_count; ++i) {
c[channels[i]] = e;
@ -1193,7 +1193,7 @@ void MLPPTensor3::x_slice_set_image(const Ref<Image> &p_img, const int p_index_x
for (int z = 0; z < fms.x; ++z) {
Color c = img->get_pixel(z, y);
element_set(y, p_index_x, z, c[channel_index]);
element_set(z, y, p_index_x, c[channel_index]);
}
}
@ -1219,7 +1219,7 @@ Ref<Image> MLPPTensor3::y_slice_get_image(const int p_index_y) const {
for (int z = 0; z < _size.z; ++z) {
for (int x = 0; x < _size.x; ++x) {
wptr[i] = static_cast<uint8_t>(element_get(x, p_index_y, z) * 255.0);
wptr[i] = static_cast<uint8_t>(element_get(z, x, p_index_y) * 255.0);
++i;
}
@ -1284,7 +1284,7 @@ void MLPPTensor3::y_slice_get_into_image(Ref<Image> p_target, const int p_index_
for (int z = 0; z < fms.x; ++z) {
Color c;
float e = element_get(p_index_y, x, z);
float e = element_get(z, p_index_y, x);
for (int i = 0; i < channel_count; ++i) {
c[channels[i]] = e;
@ -1324,7 +1324,7 @@ void MLPPTensor3::y_slice_set_image(const Ref<Image> &p_img, const int p_index_y
for (int x = 0; x < fms.x; ++x) {
Color c = img->get_pixel(x, z);
element_set(p_index_y, x, z, c[channel_index]);
element_set(z, p_index_y, x, c[channel_index]);
}
}
@ -2241,7 +2241,7 @@ void MLPPTensor3::set_from_std_vectors(const std::vector<std::vector<std::vector
ERR_CONTINUE(vx.size() != static_cast<uint32_t>(_size.x));
for (uint32_t x = 0; x < vx.size(); ++x) {
element_set(y, x, z, vx[x]);
element_set(z, y, x, vx[x]);
}
}
}
@ -2259,7 +2259,7 @@ std::vector<std::vector<std::vector<real_t>>> MLPPTensor3::to_std_vector() {
std::vector<real_t> row;
for (int j = 0; j < _size.x; ++j) {
row.push_back(_data[calculate_index(i, j, 1)]);
row.push_back(_data[calculate_index(k, i, j)]);
}
ret[k][i] = row;

12
mlpp/lin_alg/mlpp_tensor3.h
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@ -76,7 +76,7 @@ public:
void resize(const Size3i &p_size);
void shape_set(const Size3i &p_size);
_FORCE_INLINE_ int calculate_index(int p_index_y, int p_index_x, int p_index_z) const {
_FORCE_INLINE_ int calculate_index(int p_index_z, int p_index_y, int p_index_x) const {
return p_index_y * _size.x + p_index_x + _size.x * _size.y * p_index_z;
}
@ -105,7 +105,7 @@ public:
_data[p_index] = p_val;
}
_FORCE_INLINE_ real_t element_get(int p_index_y, int p_index_x, int p_index_z) const {
_FORCE_INLINE_ real_t element_get(int p_index_z, int p_index_y, int p_index_x) const {
ERR_FAIL_INDEX_V(p_index_x, _size.x, 0);
ERR_FAIL_INDEX_V(p_index_y, _size.y, 0);
ERR_FAIL_INDEX_V(p_index_z, _size.z, 0);
@ -113,7 +113,7 @@ public:
return _data[p_index_y * _size.x + p_index_x + _size.x * _size.y * p_index_z];
}
_FORCE_INLINE_ void element_set(int p_index_y, int p_index_x, int p_index_z, real_t p_val) {
_FORCE_INLINE_ void element_set(int p_index_z, int p_index_y, int p_index_x, real_t p_val) {
ERR_FAIL_INDEX(p_index_x, _size.x);
ERR_FAIL_INDEX(p_index_y, _size.y);
ERR_FAIL_INDEX(p_index_z, _size.z);
@ -126,9 +126,9 @@ public:
Ref<MLPPVector> row_get_mlpp_vector(int p_index_z, int p_index_y) const;
void row_get_into_mlpp_vector(int p_index_z, int p_index_y, Ref<MLPPVector> target) const;
void row_set_vector(int p_index_y, int p_index_z, const Vector<real_t> &p_row);
void row_set_pool_vector(int p_index_y, int p_index_z, const PoolRealArray &p_row);
void row_set_mlpp_vector(int p_index_y, int p_index_z, const Ref<MLPPVector> &p_row);
void row_set_vector(int p_index_z, int p_index_y, const Vector<real_t> &p_row);
void row_set_pool_vector(int p_index_z, int p_index_y, const PoolRealArray &p_row);
void row_set_mlpp_vector(int p_index_z, int p_index_y, const Ref<MLPPVector> &p_row);
Vector<real_t> z_slice_get_vector(int p_index_z) const;
PoolRealArray z_slice_get_pool_vector(int p_index_z) const;