code stringlengths 3 6.57k |
|---|
len(precision["class_{}".format(str(class_id) |
len(jaccard_index["class_{}".format(str(class_id) |
zip(precision_class, data_count_precision) |
zip(jaccard_class, data_count_jaccard) |
np.mean(precision_class[1:]) |
np.mean(jaccard_class[1:]) |
self.tlog.log("val", [count, pix_acc]+precision_class+jaccard_class) |
self.tlog.log_message("[{}] mean pix acc.:{:.5f}, precision:{:.5f}, IoU:{:.5f}".format(*log_msg_data) |
tqdm.write("[{}] mean pix acc.:{:.5f}, precision:{:.5f}, IoU:{:.5f}".format(*log_msg_data) |
self.model.train() |
train(self) |
range(1, self.args.epochs+1) |
self.to_tqdm(range(1, self.args.epochs+1) |
self.to_tqdm(self.train_loader) |
self.optimizer.zero_grad() |
self.format_tensor(img, map_device=self.map_device) |
self.format_tensor(mask, map_device=self.map_device) |
self.model(images) |
F.interpolate(output, size=[self.args.crop_size, self.args.crop_size], mode='bilinear', align_corners=False) |
self.model.loss(output, masks) |
batch_loss.item() |
batch_loss.backward() |
self.optimizer.step() |
_train_loader.set_description("{: 3d}: train[{}] loss: {:.5f}".format(curr_iter if self.iter_wise else epoch, self.args.save_name, total_loss/data_num) |
self.lr_policy.decay_lr(**decay_arg) |
self.validate(curr_iter) |
self.optimizer.state_dict() |
self.model.save(add_state=state, file_name=os.path.join(self.model_param_dir,'model_param_iter{}.pth'.format(curr_iter) |
self.tlog.log_message("[iter:{}] model saved.".format(curr_iter) |
tqdm.write("[#{: 3d}] {} iter mean loss: {:.5f}".format(curr_iter, self.args.log_every, total_loss/data_num) |
self.tlog.log("train", [curr_iter, float(total_loss/data_num) |
self.tlog.log_message("[{}] {} iter mean loss:{:.5f}".format("iter:{}".format(curr_iter) |
float(total_loss/data_num) |
_train_loader.close() |
epochs.close() |
tqdm.write("[# {: 3d}] batch mean loss: {:.5f}".format(epoch, total_loss/data_num) |
self.tlog.log("train", [epoch, float(total_loss/data_num) |
self.tlog.log_message("[{}] batch mean loss:{:.5f}".format("epoch:{}".format(epoch) |
float(total_loss/data_num) |
self.validate(epoch) |
self.lr_policy.decay_lr(**decay_arg) |
self.tlog.log_message("[epoch:{}] decay learning rate by {}".format(epoch, self.args.decay_value) |
self.optimizer.state_dict() |
self.model.save(add_state=state, file_name=os.path.join(self.model_param_dir,'model_param_e{}.pth'.format(epoch) |
self.tlog.log_message("[epoch:{}] model saved.".format(epoch) |
self.model.save(add_state={'optimizer_state_dict' : self.optimizer.state_dict() |
os.path.join(self.model_param_dir, 'model_param_fin_{}.pth'.format(datetime.now() |
strftime("%Y%m%d_%H-%M-%S") |
print("data is saved at {}".format(self.save_dir) |
test_loader(self) |
range(1, self.args.epochs+1) |
self.to_tqdm(range(1, self.args.epochs+1) |
self.to_tqdm(self.train_loader) |
img.numpy() |
mask.numpy() |
range(batch_size) |
np.uint8(img[i]*255) |
transpose(1,2,0) |
self.convert_to_color_map(np.uint8(mask[i]) |
np.concatenate([_img, _mask], axis=1) |
plt.imshow(merged_img) |
plt.show() |
CommSyslogClientConsts() |
CommSyslogClient(ManagedObject) |
CommSyslogClientConsts() |
set([u'name']) |
MoMeta("CommSyslogClient", "commSyslogClient", "client-[name]", VersionMeta.Version101e, "InputOutput", 0x3ff, [], ["admin", "operations"], [u'commSyslog'], [], ["Get", "Set"]) |
MoPropertyMeta("admin_state", "adminState", "string", VersionMeta.Version101e, MoPropertyMeta.READ_WRITE, 0x2, None, None, None, ["disabled", "enabled"], []) |
MoPropertyMeta("child_action", "childAction", "string", VersionMeta.Version101e, MoPropertyMeta.INTERNAL, 0x4, None, None, r"""((deleteAll|ignore|deleteNonPresent) |
MoPropertyMeta("dn", "dn", "string", VersionMeta.Version101e, MoPropertyMeta.READ_ONLY, 0x8, 0, 256, None, [], []) |
MoPropertyMeta("forwarding_facility", "forwardingFacility", "string", VersionMeta.Version101e, MoPropertyMeta.READ_WRITE, 0x10, None, None, None, ["local0", "local1", "local2", "local3", "local4", "local5", "local6", "local7"], []) |
MoPropertyMeta("hostname", "hostname", "string", VersionMeta.Version101e, MoPropertyMeta.READ_WRITE, 0x20, None, None, None, [], []) |
MoPropertyMeta("name", "name", "string", VersionMeta.Version101e, MoPropertyMeta.NAMING, 0x40, None, None, None, ["primary", "secondary", "tertiary"], []) |
MoPropertyMeta("rn", "rn", "string", VersionMeta.Version101e, MoPropertyMeta.READ_ONLY, 0x80, 0, 256, None, [], []) |
MoPropertyMeta("sacl", "sacl", "string", VersionMeta.Version302a, MoPropertyMeta.READ_ONLY, None, None, None, r"""((none|del|mod|addchild|cascade) |
MoPropertyMeta("severity", "severity", "string", VersionMeta.Version101e, MoPropertyMeta.READ_WRITE, 0x100, None, None, None, ["alerts", "critical", "debugging", "emergencies", "errors", "information", "notifications", "warnings"], []) |
MoPropertyMeta("status", "status", "string", VersionMeta.Version101e, MoPropertyMeta.READ_WRITE, 0x200, None, None, r"""((removed|created|modified|deleted) |
__init__(self, parent_mo_or_dn, name, **kwargs) |
ManagedObject.__init__(self, "CommSyslogClient", parent_mo_or_dn, **kwargs) |
macro(name) |
install_macro(name, fn, fn) |
pattern_macro(names, pattern, shadow = None) |
whole(pattern) |
isinstance(names, tuple) |
dec(fn) |
wrapper_maker(name) |
wrapper(hy_compiler, *args) |
any(is_unpack("iterable", x) |
Symbol('hy.core.shadow.' + name) |
replace(hy_compiler.this) |
unmangle(expr[0]) |
join(map(str, py_version_required) |
pattern.parse(args) |
min(e.state.pos + 1, len(expr) |
e.msg.replace("<EOF>", "end of form") |
fn(hy_compiler, expr, root, *parse_tree) |
in ([names] if isinstance(names, str) |
install_macro(name, wrapper_maker(name) |
install_macro(name, fn, module_of) |
mangle(name) |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.