# noinspection PyUnusedLocal
@ChainerConverter.register_handler("Clip")
def _convert_clip(converter: ChainerConverter, c_op: "chainer.functions.Clip"):
# TODO
raise NotImplementedError("[ChainerConverter] Clip is not supported")
# noinspection PyUnusedLocal
@ChainerConverter.register_handler("BatchDet")
def _convert_batch_det(converter: ChainerConverter,
c_op: "chainer.functions.BatchDet"):
# TODO
raise NotImplementedError("[ChainerConverter] BatchDet is not supported")
ChainerConverter.register_handler("Exp")(unary_op_handler(Exp))
ChainerConverter.register_handler("Log")(unary_op_handler(Log))
@ChainerConverter.register_handler("Log10")
def _convert_log10(converter: ChainerConverter,
c_op: "chainer.functions.Log10"):
x = converter.get_variable(c_op.inputs[0])
y, = Log(None)(x) / np.log(10)
converter.set_variable(c_op.outputs[0](), y)
@ChainerConverter.register_handler("Log2")
def _convert_log2(converter: ChainerConverter, c_op: "chainer.functions.Log2"):
x = converter.get_variable(c_op.inputs[0])
from webdnn.graph.operators.elementwise_pow import ElementwisePow
from webdnn.graph.operators.tensordot import Tensordot
from webdnn.graph.order import Order
from webdnn.graph.variables.constant_variable import ConstantVariable
# noinspection PyUnusedLocal
@ChainerConverter.register_handler("Neg")
def _convert_neg(converter: ChainerConverter,
c_op: "chainer.functions.math.basic_math.Neg"):
x = converter.get_variable(c_op.inputs[0])
y = -x
converter.set_variable(c_op.outputs[0](), y)
ChainerConverter.register_handler("Absolute")(unary_op_handler(Abs))
ChainerConverter.register_handler("Add")(
elementwise_binary_op_handler(ElementwiseAdd))
@ChainerConverter.register_handler("AddConstant")
def _convert_add_constant(
converter: ChainerConverter,
c_op: "chainer.functions.math.basic_math.AddConstant"):
x = converter.get_variable(c_op.inputs[0])
y = x + c_op.value
converter.set_variable(c_op.outputs[0](), y)
@ChainerConverter.register_handler("Sub")