def render(self, is_lock):
bimpy.indent(10)
bimpy.text('- Plane')
bimpy.same_line()
bimpy_tools.help_marker(
'generate with random points\n' \
'* plane random: random on whole plane\n' \
'* balanced random: balanced positive and negative samples'
)
bimpy.push_item_width(140)
if bimpy.begin_combo('strategy##plane_random_generator',
self._select_strategy):
for item in self._strategy_list:
is_selected = bimpy.Bool(self._select_strategy == item)
if bimpy.selectable(item, is_selected) and not is_lock:
self._select_strategy = item
if is_selected.value:
bimpy.set_item_default_focus()
bimpy.end_combo()
bimpy.pop_item_width()
bimpy.unindent(10)
def render(self, is_lock):
bimpy.indent(10)
bimpy.text('- SGD')
bimpy.same_line()
bimpy_tools.help_marker('torch.optim.SGD')
flags = bimpy.InputTextFlags.EnterReturnsTrue
if is_lock:
flags |= bimpy.InputTextFlags.ReadOnly
bimpy.push_item_width(120)
if bimpy.input_float('lr##sgd_optimizer', self._lr, flags=flags):
self._lr.value = max(0.0, self._lr.value)
if bimpy.input_float('momentum##sgd_optimizer',
self._momentum,
flags=flags):
self._momentum.value = max(0.0, self._momentum.value)
if bimpy.input_float('dampening##sgd_optimizer',
self._dampening,
flags=flags):
self._dampening.value = max(0.0, self._dampening.value)
if bimpy.input_float('weight_decay##sgd_optimizer',
self._weight_decay,
flags=flags):
self._weight_decay.value = max(0.0, self._weight_decay.value)
if bimpy.checkbox('nesterov##sgd_optimizer', self._nesterov):
self._hint_nesterov = False
if self._nesterov.value:
if self._momentum.value == 0 or self._dampening.value > 0:
self._nesterov.value = False
self._hint_nesterov = True
bimpy.same_line()
bimpy_tools.help_marker(
'Nesterov momentum requires a momentum and zero dampening',
self._hint_nesterov)
bimpy.pop_item_width()
bimpy.unindent(10)
def render(self, is_lock):
bimpy.indent(10)
bimpy.text('- Linear layer init')
bimpy.same_line()
bimpy_tools.help_marker(
'Initializer used in torch.nn.Linear, use Kaiming uniform')
bimpy.push_item_width(120)
flags = bimpy.InputTextFlags.EnterReturnsTrue
if is_lock:
flags |= bimpy.InputTextFlags.ReadOnly
if bimpy.input_float('a##sgd_optimizer', self._a, flags=flags):
self._a.value = max(0.0, self._a.value)
if bimpy.begin_combo('mode##linear_layer_init', self._select_mode):
for item in self._mode_list:
is_selected = bimpy.Bool(self._select_mode == item)
if bimpy.selectable(item, is_selected) and not is_lock:
self._select_mode = item
if is_selected.value:
bimpy.set_item_default_focus()
bimpy.end_combo()
if bimpy.begin_combo('nonlinearity##linear_layer_init',
self._select_nonlinearity):
for item in self._nonlinearity_list:
is_selected = bimpy.Bool(self._select_nonlinearity == item)
if bimpy.selectable(item, is_selected) and not is_lock:
self._select_nonlinearity = item
if is_selected.value:
bimpy.set_item_default_focus()
bimpy.end_combo()
bimpy.pop_item_width()
bimpy.unindent(10)
def render(self, is_lock):
bimpy.indent(10)
bimpy.text('- MSE loss')
bimpy.same_line()
bimpy_tools.help_marker('torch.nn.MSELoss')
bimpy.push_item_width(120)
if bimpy.begin_combo('reduction##mse_loss_fn', self._select_redution):
for item in self._reduction_list:
is_selected = bimpy.Bool(self._select_redution == item)
if bimpy.selectable(item, is_selected) and not is_lock:
self._select_redution = item
if is_selected.value:
bimpy.set_item_default_focus()
bimpy.end_combo()
bimpy.pop_item_width()
bimpy.unindent(10)
def render(self, is_lock):
bimpy.indent(10)
bimpy.text('- Adam')
bimpy.same_line()
bimpy_tools.help_marker('torch.optim.Adam')
flags = bimpy.InputTextFlags.EnterReturnsTrue
if is_lock:
flags |= bimpy.InputTextFlags.ReadOnly
bimpy.push_item_width(140)
if bimpy.input_float('lr##adam_optimizer', self._lr, flags=flags):
self._lr.value = max(0.0, self._lr.value)
if bimpy.input_float2('momentum##adam_optimizer',
self._betas_first,
self._betas_second,
flags=flags):
self._betas_first.value = max(0.0, self._betas_first.value)
self._betas_second.value = max(0.0, self._betas_second.value)
if bimpy.input_float('eps##adam_optimizer',
self._eps,
decimal_precision=8,
flags=flags):
self._dampening.value = max(0.0, self._eps.value)
if bimpy.input_float('weight_decay##adam_optimizer',
self._weight_decay,
flags=flags):
self._weight_decay.value = max(0.0, self._weight_decay.value)
bimpy.checkbox('amsgrad##adam_optimizer', self._amsgrad)
bimpy.pop_item_width()
bimpy.unindent(10)
def render(self, is_lock):
bimpy.indent(10)
bimpy.text('- Raw Point')
bimpy.same_line()
bimpy_tools.help_marker('generate with raw points')
bimpy.push_item_width(120)
if bimpy.begin_combo('strategy##raw_point_generator',
self._select_strategy):
for item in self._strategy_list:
is_selected = bimpy.Bool(self._select_strategy == item)
if bimpy.selectable(item, is_selected) and not is_lock:
self._select_strategy = item
if is_selected.value:
bimpy.set_item_default_focus()
bimpy.end_combo()
bimpy.pop_item_width()
bimpy.unindent(10)
while not ctx.should_close():
with ctx:
chinese = u"學而不思則罔，思而不學則殆。"
japanese = u"二兎を追う者は一兎をも得ず。 "
hiragana = u"あ い う え お か き く け こ さ し す せ そ が ぎ ぐ げ ご ぱ ぴ ぷ ぺ ぽ"
katakana = u"ア イ ウ エ オ カ キ ク ケ コ サ シ ス セ ソ ガ ギ グ ゲ ゴ パ ピ プ ペ ポ"
kanji = "川 月 木 心 火 左 北 今 名 美 見 外 成 空 明 静 海 雲 新 語 道 聞 強 飛"
ukrainian = "Садок вишневий коло хати,\nХрущі над вишнями гудуть,\nПлугатарі з плугами йдуть,\nСпівають ідучи дівчата,\nА матері вечерять ждуть."
polish = "Hej, tam gdzieś z nad czarnej wody\nWsiada na koń kozak młody.\nCzule żegna się z dziewczyną,\nJeszcze czulej z Ukrainą."
russian = "Ночь, улица, фонарь, аптека,\nБессмысленный и тусклый свет.\nЖиви ещё хоть четверть века -\nВсё будет так. Исхода нет."
bp.text('Chinese:')
bp.indent()
bp.text(chinese)
bp.unindent()
bp.text('Japanese:')
bp.indent()
bp.text(japanese)
bp.bullet_text("hiragana: " + hiragana)
bp.bullet_text("katakana: " + katakana)
bp.bullet_text("kanji: " + kanji)
bp.unindent()
bp.separator()
bp.text('Ukrainian:')
bp.indent()
bp.text(ukrainian)
bp.unindent()
bp.separator()