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))
