"assign": _assign_right_to_left, # zero_operand ops # unary ops "neg": lambda left: math_cpu.neg(left), "abs": lambda left: np.abs(left), "sgn": lambda left: np.sign(left), "sqrt": lambda left: math_cpu.sqrt(left), "sqr": lambda left: math_cpu.square(left), "exp": lambda left: math_cpu.exp(left), "log": lambda left: math_cpu.log(left), "safelog": lambda left: math_cpu.safelog(left), "exp2": lambda left: np.exp2(left), "log2": lambda left: np.log2(left), "sig": lambda left: 1. / (1. + np.exp(-left)), "sig2": lambda left: 1. / (1. + np.exp2(-left)), "tanh": lambda left: np.tanh(left), "tanh2":
def _assign_right_to_left(left, right):
math_cpu.blas_copy(left, right)
# how to overlaod numpy_call_dict?
numpy_call_dict_mkl = {
# assign
"assign": _assign_right_to_left,
# zero_operand ops
# unary ops
"neg": lambda left: math_cpu.neg(left),
"abs": lambda left: np.abs(left),
"sgn": lambda left: np.sign(left),
"sqrt": lambda left: math_cpu.sqrt(left),
"sqr": lambda left: math_cpu.square(left),
"exp": lambda left: math_cpu.exp(left),
"log": lambda left: math_cpu.log(left),
"safelog": lambda left: math_cpu.safelog(left),
"exp2": lambda left: np.exp2(left),
"log2": lambda left: np.log2(left),
"sig": lambda left: 1. / (1. + np.exp(-left)),
"sig2": lambda left: 1. / (1. + np.exp2(-left)),
"tanh": lambda left: np.tanh(left),
"tanh2": lambda left: (np.exp2(2. * left) - 1.) / (np.exp2(2. * left) + 1.),
"transpose": lambda left: np.transpose(left),
"rint": lambda left: np.rint(left),
# binary ops
"add": lambda left, right: math_cpu.add(left, right),
"sub": lambda left, right: math_cpu.sub(left, right),
"mul": lambda left, right: math_cpu.mul(left, right),
"div": lambda left, right: math_cpu.div(left, right),