def func(node): return sum(rm.amin(node, axis, keepdims=keep_dimensions))
def func_imul2(node, x): x *= node return sum(node)
def func_div2(node, x): return sum(node / x)
def func_isub2(node, x): x -= node return sum(node)
def func_mul2(node, x): return sum(node * x)
def func_iadd2(node, x): x += node return sum(node)
def func_sub2(node, x): return sum(node - x)
def func(node): return sum(sigmoid(node))
def func(node): return sum(rm.elu(node))
def func_idiv2(node, x): x /= node return sum(node)
def func(node): return sum(tanh(node))
def func(node, keepdims): return sum(rm.mean(node, axis=axis, keepdims=keepdims))
def func(node, x): return sum(rm.smoothed_l1(node, x, delta, reduce_sum=False))
def func(node): return sum(node[index])
def func(node): return sum(layer(node))
def func(node): return sum(rm.leaky_relu(node))
def func(node): if is_cuda_active(): curand_generator().set_seed(seed) else: np.random.seed(seed) return sum(layer(node))
def func(node): return sum(rm.softplus(node))
def func_sub1(node, x): return sum(x - node)
def func(node): return sum(rm.swish(node))
def func_isub1(node, x): node -= x return sum(node)
def func(node): return sum(rm.softsign(node))
def func_mul1(node, x): return sum(x * node)
def func(node): ret = layer(node) if len(ret.shape) > 2: return sum(layer3(ret)) else: return sum(layer2(ret))
def func_imul1(node, x): node *= x return sum(node)
def func(node): ret = node reta = l0(node) ret = l1(reta, reta) ret = l2(ret.reshape(ret.shape[0], -1)) return sum(ret)
def func_div1(node, x): return sum(x / node)
def func(node, rois): return sum(layer(node, rois))
def func_idiv1(node, x): node /= x return sum(node)
def func(node): return sum(rm.maxout(node, axis=axis))