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Fix extended package export CI #16

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Merged
godofecht merged 5 commits into from
Sep 7, 2026
Merged

Fix extended package export CI #16

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c72e095
fix(ci): export fetched xsimd dependency
godofecht Sep 7, 2026
27b537a
fix(ci): preserve benchmark source path
godofecht Sep 7, 2026
73ab3f0
noop
godofecht Sep 7, 2026
c0a3b6a
chore: remove accidental placeholder
godofecht Sep 7, 2026
3d40f35
fix: correct generative output weight indexing
godofecht Sep 7, 2026
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2 changes: 1 addition & 1 deletion CMakeLists.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -138,7 +138,7 @@ if(TINYML_BUILD_EXTENDED)
endif()

include(FetchContent)
set(XSIMD_SKIP_INSTALL ON CACHE BOOL "" FORCE)
set(XSIMD_SKIP_INSTALL OFF CACHE BOOL "" FORCE)
FetchContent_Declare(
xsimd
URL https://github.com/xtensor-stack/xsimd/archive/refs/tags/12.1.1.tar.gz
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11 changes: 5 additions & 6 deletions src/GenerativeModels.cpp
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Expand Up @@ -319,7 +319,7 @@ void VAE::decoder_forward(const LatentVector& latent, const Tensor& condition,
for (size_t i = 0; i < config_.input_dim; ++i) {
float sum = decoder_b2_[i];
for (size_t j = 0; j < config_.hidden_dim; ++j) {
sum += hidden[j] * decoder_w2_[j * config_.hidden_dim + i];
sum += hidden[j] * decoder_w2_[j * config_.input_dim + i];
}
output[i] = std::tanh(sum);
}
Expand Down Expand Up @@ -394,7 +394,7 @@ std::vector<Tensor> VAE::get_activations(const Tensor& input) {
for (size_t i = 0; i < config_.input_dim; ++i) {
float sum = decoder_b2_[i];
for (size_t j = 0; j < config_.hidden_dim; ++j) {
sum += dec_hidden[j] * decoder_w2_[j * config_.hidden_dim + i];
sum += dec_hidden[j] * decoder_w2_[j * config_.input_dim + i];
}
output[i] = std::tanh(sum);
}
Expand Down Expand Up @@ -427,7 +427,7 @@ std::vector<Tensor> VAE::get_decoder_activations(const LatentVector& latent) {
for (size_t i = 0; i < config_.input_dim; ++i) {
float sum = decoder_b2_[i];
for (size_t j = 0; j < config_.hidden_dim; ++j) {
sum += dec_hidden[j] * decoder_w2_[j * config_.hidden_dim + i];
sum += dec_hidden[j] * decoder_w2_[j * config_.input_dim + i];
}
output[i] = std::tanh(sum);
}
Expand Down Expand Up @@ -589,7 +589,7 @@ void GAN::generator_forward(const Tensor& noise, const Tensor& condition, Tensor
for (size_t i = 0; i < config_.input_dim; ++i) {
float sum = gen_b3_[i];
for (size_t j = 0; j < config_.hidden_dim; ++j) {
sum += hidden2[j] * gen_w3_[j * config_.hidden_dim + i];
sum += hidden2[j] * gen_w3_[j * config_.input_dim + i];
}
output[i] = std::tanh(sum);
}
Expand Down Expand Up @@ -836,7 +836,7 @@ void DiffusionModel::unet_forward(const Tensor& xt, const Tensor& time_emb,
for (size_t i = 0; i < config_.input_dim; ++i) {
float sum = noise_b3_[i];
for (size_t j = 0; j < config_.hidden_dim; ++j) {
sum += hidden2[j] * noise_w3_[j * config_.hidden_dim + i];
sum += hidden2[j] * noise_w3_[j * config_.input_dim + i];
}
epsilon_pred[i] = sum;
}
Expand All @@ -861,7 +861,6 @@ void DiffusionModel::forward_diffusion(const Tensor& x0, int t, Tensor& xt, Tens
void DiffusionModel::predict_noise(const Tensor& xt, int t, const Tensor& condition, Tensor& epsilon_pred) {
Tensor time_emb;
time_embedding(t, time_emb);

unet_forward(xt, time_emb, condition, epsilon_pred);
}

Expand Down