#!/usr/lib/python import numpy as np import mindspore.context as context import mindspore.nn as nn from mindspore import Tensor from mindspore.ops import functional as F #context.set_context(mode=context.GRAPH_MODE, device_target="CPU") #help(F) x = Tensor(np.array([1, 3, 3, 4]).astype(np.float32)) y = Tensor(np.array([1, 3, 3, 4]).astype(np.float32)) print(F.tensor_add(x, y))
def tensor_add_test(x, y): """ tensor_add_test """ z = F.tensor_add(x, y) return z
def tensor_add_func_inner(x, y): """ tensor_add_func_inner """ z = F.tensor_add(x, y) return z
def tensor_add_func(x, y): """ tensor_add_func """ z = tensor_add_func_inner(x, y) z = F.tensor_add(z, x) return z
def tensor_add_global(x): """ tensor_add_global """ global g_x res = tensor_add(x, g_x) return res