void dump(FILE* fp, int32_t level)
{
std::string str;
if (level == 0)
fprintf(fp, "\n");
str.append(level * 4, ' ');
fprintf(fp, "%s%d times, total ", str.c_str(), m_times);
out_size(fp, m_sz);
str.append(4, ' ');
fprintf(fp, "%s", str.c_str());
out_proc(fp, proc);
caller* p = this;
while (p->subs.size() == 1)
{
p = p->subs[0];
fprintf(fp, "%s", str.c_str());
out_proc(fp, p->proc);
}
if (p && p->subs.size() > 0)
p->dumpSubs(fp, level + 1);
}
static void print_embedded_files(poppler::document *doc)
{
std::cout << "Document embedded files:" << std::endl;
std::vector<poppler::embedded_file *> ef = doc->embedded_files();
if (!ef.empty()) {
std::vector<poppler::embedded_file *>::const_iterator it = ef.begin(), it_end = ef.end();
const std::ios_base::fmtflags f = std::cout.flags();
std::left(std::cout);
for (; it != it_end; ++it) {
poppler::embedded_file *f = *it;
std::cout
<< " " << std::setw(out_width + 10) << f->name()
<< " " << std::setw(10) << out_size(f->size())
<< " " << std::setw(20) << out_date(f->creation_date())
<< " " << std::setw(20) << out_date(f->modification_date())
<< std::endl
<< " ";
if (f->description().empty()) {
std::cout << "<no description>";
} else {
std::cout << f->description();
}
std::cout
<< std::endl
<< " " << std::setw(35) << (f->checksum().empty() ? std::string("<no checksum>") : out_hex_string(f->checksum()))
<< " " << (f->mime_type().empty() ? std::string("<no mime type>") : f->mime_type())
<< std::endl;
}
std::cout.flags(f);
} else {
std::cout << "<no embedded files>" << std::endl;
}
std::cout << std::endl;
}
void SpatialLPPooling::init(std::shared_ptr<TorchData> input) {
RASSERT(input->type() == TorchDataType::TENSOR_DATA);
Tensor<float>* in = TO_TENSOR_PTR(input.get());
RASSERT(in->dim() == 2 || in->dim() == 3);
if (output != nullptr && TO_TENSOR_PTR(output.get())->dim() != in->dim()) {
// Input dimension has changed!
cleanup();
}
if (output != nullptr) {
// Check that the dimensions above the lowest 2 match
for (uint32_t i = 2; i < in->dim() && output != nullptr; i++) {
if (TO_TENSOR_PTR(output.get())->size()[i] != in->size()[i]) {
cleanup();
}
}
}
if (output != nullptr) {
// Check that the lowest 2 dimensions are the correct size
if (TO_TENSOR_PTR(output.get())->size()[0] != in->size()[0] / poolsize_u_ ||
TO_TENSOR_PTR(output.get())->size()[1] != in->size()[1] / poolsize_v_) {
cleanup();
}
}
if (output == nullptr) {
// Check that the width and height is a multiple of the poolsize
RASSERT(in->size()[0] % poolsize_u_ == 0 &&
in->size()[1] % poolsize_v_ == 0);
std::unique_ptr<uint32_t[]> out_size(new uint32_t[in->dim()]);
out_size[0] = in->size()[0] / poolsize_u_;
out_size[1] = in->size()[1] / poolsize_v_;
for (uint32_t i = 2; i < in->dim(); i++) {
out_size[i] = in->size()[i];
}
output.reset(new Tensor<float>(in->dim(), out_size.get()));
input_cpu_.reset(new float[in->nelems()]);
output_cpu_.reset(new float[TO_TENSOR_PTR(output.get())->nelems()]);
}
uint32_t n_threads = 1;
if (in->dim() > 2) {
n_threads = TO_TENSOR_PTR(output.get())->size()[2];
}
if (thread_cbs_.size() != n_threads) {
thread_cbs_.empty();
for (uint32_t f = 0; f < n_threads; f++) {
thread_cbs_.push_back(std::unique_ptr<jcl::threading::Callback<void>>(
MakeCallableMany(&SpatialLPPooling::forwardPropThread, this, f)));
}
}
}
static int _striped_text_export(const struct lv_segment *seg, struct formatter *f)
{
outf(f, "stripe_count = %u%s", seg->area_count,
(seg->area_count == 1) ? "\t# linear" : "");
if (seg->area_count > 1)
out_size(f, (uint64_t) seg->stripe_size,
"stripe_size = %u", seg->stripe_size);
return out_areas(f, seg, "stripe");
}
static int _mirrored_text_export(const struct lv_segment *seg, struct formatter *f)
{
outf(f, "mirror_count = %u", seg->area_count);
if (seg->status & PVMOVE)
out_size(f, (uint64_t) seg->extents_copied * seg->lv->vg->extent_size,
"extents_moved = %" PRIu32, seg->extents_copied);
if (seg->log_lv)
outf(f, "mirror_log = \"%s\"", seg->log_lv->name);
if (seg->region_size)
outf(f, "region_size = %" PRIu32, seg->region_size);
return out_areas(f, seg, "mirror");
}
void photoalbum::api::map::map_tile_km(
const jsonrpc::request& request,
jsonrpc::result& result,
sqlite::connection& conn
)
{
const std::string region = request.params().get<std::string>(0);
const int eastings = request.params().get<int>(1);
const int northings = request.params().get<int>(2);
photoalbum::map::tile_data_db data_db;
db::get(
conn,
region,
eastings/10,
northings/10,
data_db
);
try
{
Magick::Image image(Magick::Blob(
reinterpret_cast<const void*>(&(data_db.data[0])),
data_db.data.size()
)
);
Magick::Geometry out_size(
image.size().width()/5,
image.size().height()/5
);
Magick::Image out_image(out_size, Magick::Color(255,255,255));
int off_x = -(out_size.width() * (eastings%5));
int off_y = -(out_size.height() * (4 - (northings%5)));
out_image.composite(image, off_x, off_y);
Magick::Blob blob;
out_image.write(&blob, "PNG");
png_data(result.data()).data() = base64::encode(
reinterpret_cast<const unsigned char*>(blob.data()),
blob.length()
);
}
catch(const std::exception& e)
{
}
}
void SpatialMaxPooling::init(std::shared_ptr<TorchData> input) {
RASSERT(input->type() == TorchDataType::TENSOR_DATA);
Tensor<float>* in = TO_TENSOR_PTR(input.get());
RASSERT(in->dim() == 2 || in->dim() == 3);
// We'll escentially do ceil_mode = false from torch
const uint32_t iwidth = in->size()[0];
const uint32_t iheight = in->size()[1];
uint32_t oheight = (long)(floor((float)(iheight - kh_ + 2*padh_) / dh_)) + 1;
uint32_t owidth = (long)(floor((float)(iwidth - kw_ + 2*padw_) / dw_)) + 1;
if (output != nullptr && TO_TENSOR_PTR(output.get())->dim() != in->dim()) {
// Input dimension has changed!
output = nullptr;
}
if (output != nullptr) {
// Check that the dimensions above the lowest 2 match
for (uint32_t i = 2; i < in->dim() && output != nullptr; i++) {
if (TO_TENSOR_PTR(output.get())->size()[i] != in->size()[i]) {
output = nullptr;
}
}
}
if (output != nullptr) {
// Check that the lowest 2 dimensions are the correct size
if (TO_TENSOR_PTR(output.get())->size()[0] != owidth ||
TO_TENSOR_PTR(output.get())->size()[1] != oheight) {
output = nullptr;
}
}
if (output == nullptr) {
std::unique_ptr<uint32_t[]> out_size(new uint32_t[in->dim()]);
out_size[0] = owidth;
out_size[1] = oheight;
for (uint32_t i = 2; i < in->dim(); i++) {
out_size[i] = in->size()[i];
}
output.reset(new Tensor<float>(in->dim(), out_size.get()));
}
}
void dump()
{
Item* items;
Item* p;
int32_t n = 0;
int32_t i;
char fname[32];
init_lib();
m_lock.lock();
items = (Item*)__real_malloc(sizeof(Item) * m_list.count());
p = m_list.head();
while (p)
{
memcpy(items + n ++, p, sizeof(Item));
p = m_list.next(p);
}
m_lock.unlock();
caller root(0);
for (i = 0; i < n; i ++)
root.put(items[i].m_sz, items[i].m_frames, items[i].m_frame_count);
sprintf(fname, "fibjs.%d.heap", getpid());
FILE* fp = fopen(fname, "w");
if (fp)
{
fprintf(fp, "\nfound %d times, total ", root.m_times);
out_size(fp, root.m_sz);
root.dumpSubs(fp);
fclose(fp);
}
__real_free(items);
}
void Inst::write_graph_rec( Vec<const Inst *> &ext_buf, Stream &os ) const {
if ( op_id_vis == cur_op_id )
return;
op_id_vis = cur_op_id;
// label
std::ostringstream ss;
write_dot( ss );
// node
std::string ls = ss.str();
os << " node" << this << " [label=\"";
for( unsigned i = 0; i < ls.size(); ++i ) {
switch ( ls[ i ] ) {
case '<':
case '>':
case '\\':
os << '\\';
}
os << ls[ i ];
}
if ( full_dot ) {
if ( out_size() > 1 )
for( int i = 0; i < out_size(); ++i )
os << "|<f" << i << ">o";
if ( inp_size() > 1 )
for( int i = 0; i < inp_size(); ++i )
os << "|<f" << out_size() + i << ">i";
}
os << "\"];\n";
// children
for( int i = 0, n = inp_size(); i < n; ++i ) {
const Expr &ch = inp_expr( i );
if ( full_dot ) {
os << " node" << this;
if ( inp_size() > 1 )
os << ":f" << out_size() + i;
os << " -> node" << ch.inst.ptr();
if ( ch.inst->out_size() > 1 )
os << ":f" << ch.nout;
os << ";\n";
} else
os << " node" << this << " -> node" << ch.inst.ptr() << ";\n";
if ( ch.inst )
ch.inst->write_graph_rec( ext_buf, os );
}
// ext
for( int i = 0, n = ext_size_disp(); i < n; ++i )
if ( const Inst *ch = ext_inst( i ) )
ext_buf << ch;
// parents
// for( int nout = 0; nout < out_size(); ++nout ) {
// VPar &p = parents( nout );
// for( int i = 0; i < p.size(); ++i ) {
// os << " node" << p[ i ] << " -> node" << this << ":f" << nout << " [color=\"red\"];\n";
// // parents[ i ]->write_graph_rec( ext_buf, os );
// }
// }
}
