addbmm_(beta=1, mat, alpha=1, batch1, batch2) → Tensor addbmm()的in-place运算形式 addcdiv(value=1, tensor1, tensor2) → Tensor 请查看torch.addcdiv() addcdiv_(value=1, tensor1, tensor2) → Tensor addcdiv()的in-place运算形
set_default_dtype(torch.float64) >>> torch.tensor([1.2, 3]).dtype # a new floating point tensor torch.float64 torch.get_default_dtype() → torch.dtype Get the current default floating point torch.dtype. Example: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 复制 >>> torch.get_...
add(value) → Tensor add_(value) → Tensor add_(value=1, other) -> Tensor addbmm(beta=1, alpha=1, batch1, batch2) → Tensor addbmm_(beta=1, alpha=1, batch1, batch2) → Tensor addcdiv(value=1, tensor1, tensor2) → Tensor addcdiv_(value=1, tensor1, tensor2) → Tensor add...
将tensor中的所有值都填充为指定的value https://pytorch.org/docs/stable/generated/torch.Tensor.fill_.html torch.Tensor.fill_(value)方法_人类高质量算法工程师的博客-CSDN博客 发布于 2022-08-30 10:52 Torch (深度学习框架) Python 深度学习(Deep Learning) ...
torch.set_num_threads(int) 4、数学操作 ①一元 torch.abs(x)、torch.acos(x)、torch.cos(x)、torch.pow(x, value)、torch.log(x)、torch.ceil(x) torch.exp(x) #torch.exp(torch.Tensor([0, math.log(2)])) == tensor([1., 2.]) ...
再使用numpy对Pytorch得到的结果进行transpose处理(保证和tensorflow输出的结果Tensor格式一致) 对比两者输出的结果是否一致 def conv_test(torch_image, tf_image): """ 测试转换权重后pytorch的卷积层和tensorflow的卷积层输出是否一致 :param torch_image:
placeholderrepresents a function input. Thenameattribute specifies the name this value will take on.targetis similarly the name of the argument.argsholds either: 1) nothing, or 2) a single argument denoting the default parameter of the function input.kwargsis don’t-care. Placeholders correspond...
# Torch Code: torch.Tensor((1,2,3,4)) #output: #tensor([1., 2., 3., 4.]) # PaddlePaddle Code: paddle.to_tensor((1,2,3,4)) # 全部为整数 #output: #Tensor(shape=[4], dtype=int64, place=Place(cpu), stop_gradient=True, # [1, 2, 3, 4]) paddle.to_tensor((1,2,3,...
call_methodcalls a method on a value.nameis as similar.targetis the string name of the method to apply to theselfargument.argsandkwargsrepresent the arguments to invoke the module on,including the self argument outputcontains the output of the traced function in itsargs[0]attribute. This corr...
The ith\text{i}^{th}ith element of the output tensor will draw a value 111 according to the ith\text{i}^{th}ith probability value given in input. outi∼Bernoulli(p=inputi)\text{out}_{i} \sim \mathrm{Bernoulli}(p = \text{input}_{i}) outi∼Bernoulli(p=inputi) ...