mindspore.Tensor ================ .. py:class:: mindspore.Tensor(input_data=None, dtype=None, shape=None, init=None, internal=False, const_arg=False) 张量，即存储多维数组（n-dimensional array）的数据结构。 参数： - **input_data** (Union[Tensor, float, int, bool, tuple, list, numpy.ndarray]) - 被存储的数据，可以是其它Tensor，也可以是Python基本数据（如int，float，bool等），或是一个NumPy对象。默认值：None。 - **dtype** (:class:`mindspore.dtype`) - 用于定义该Tensor的数据类型，必须是 *mindspore.dtype* 中定义的类型。如果该参数为None，则数据类型与 `input_data` 一致，默认值：None。 - **shape** (Union[tuple, list, int]) - 用于定义该Tensor的形状。如果指定了 `input_data` ，则无需设置该参数。默认值：None。 - **init** (Initializer) - 用于在并行模式中延迟Tensor的数据的初始化，如果指定该参数，则 `dtype` 和 `shape` 也必须被指定。不推荐在非自动并行之外的场景下使用该接口。只有当调用 `Tensor.init_data` 时，才会使用指定的 `init` 来初始化Tensor数据。默认值：None。 - **internal** (bool) - Tensor是否由框架创建。如果为True，表示Tensor是由框架创建的，如果为False，表示Tensor是由用户创建的。默认值：False。 - **const_arg** (bool) - 指定该Tensor作为网络输入时是否为常量。默认值：False。 输出： Tensor。 神经网络层方法 ---------------- 神经网络 ^^^^^^^^^^ .. mscnplatformautosummary:: :toctree: Tensor :nosignatures: mindspore.Tensor.flatten 激活函数 ^^^^^^^^^^ .. mscnplatformautosummary:: :toctree: Tensor :nosignatures: mindspore.Tensor.hardshrink mindspore.Tensor.soft_shrink 逐元素运算 ^^^^^^^^^^^^^ .. mscnplatformautosummary:: :toctree: Tensor :nosignatures: mindspore.Tensor.abs mindspore.Tensor.addcdiv mindspore.Tensor.addcmul mindspore.Tensor.atan2 mindspore.Tensor.bernoulli mindspore.Tensor.bitwise_and mindspore.Tensor.bitwise_or mindspore.Tensor.bitwise_xor mindspore.Tensor.ceil mindspore.Tensor.cosh mindspore.Tensor.erf mindspore.Tensor.erfc mindspore.Tensor.exp mindspore.Tensor.inv mindspore.Tensor.invert mindspore.Tensor.lerp mindspore.Tensor.log mindspore.Tensor.log1p mindspore.Tensor.logit mindspore.Tensor.pow mindspore.Tensor.round mindspore.Tensor.sigmoid mindspore.Tensor.sqrt mindspore.Tensor.square mindspore.Tensor.std mindspore.Tensor.sub mindspore.Tensor.svd mindspore.Tensor.tan mindspore.Tensor.tanh mindspore.Tensor.var mindspore.Tensor.xdivy mindspore.Tensor.xlogy Reduction方法 ^^^^^^^^^^^^^ .. mscnplatformautosummary:: :toctree: Tensor :nosignatures: mindspore.Tensor.amax mindspore.Tensor.amin mindspore.Tensor.argmax mindspore.Tensor.argmin mindspore.Tensor.argmax_with_value mindspore.Tensor.argmin_with_value mindspore.Tensor.max mindspore.Tensor.mean mindspore.Tensor.median mindspore.Tensor.min mindspore.Tensor.norm mindspore.Tensor.prod mindspore.Tensor.renorm 比较方法 ^^^^^^^^^^^^^ .. mscnplatformautosummary:: :toctree: Tensor :nosignatures: mindspore.Tensor.all mindspore.Tensor.any mindspore.Tensor.approximate_equal mindspore.Tensor.has_init mindspore.Tensor.isclose mindspore.Tensor.isfinite mindspore.Tensor.top_k 线性代数方法 ^^^^^^^^^^^^^ .. mscnplatformautosummary:: :toctree: Tensor :nosignatures: mindspore.Tensor.ger mindspore.Tensor.log_matrix_determinant mindspore.Tensor.matrix_determinant Tensor操作方法 ---------------- Tensor创建 ^^^^^^^^^^^^^ .. mscnplatformautosummary:: :toctree: Tensor :nosignatures: mindspore.Tensor.choose mindspore.Tensor.fill mindspore.Tensor.fills mindspore.Tensor.view 随机生成方法 ^^^^^^^^^^^^^^^^ .. mscnplatformautosummary:: :toctree: Tensor :nosignatures: mindspore.Tensor.random_categorical Array操作 ^^^^^^^^^^^^^^^^ .. mscnplatformautosummary:: :toctree: Tensor :nosignatures: mindspore.Tensor.broadcast_to mindspore.Tensor.col2im mindspore.Tensor.copy mindspore.Tensor.cummax mindspore.Tensor.cummin mindspore.Tensor.cumsum mindspore.Tensor.diag mindspore.Tensor.diagonal mindspore.Tensor.dtype mindspore.Tensor.expand_as mindspore.Tensor.expand_dims mindspore.Tensor.gather mindspore.Tensor.gather_elements mindspore.Tensor.gather_nd mindspore.Tensor.index_fill mindspore.Tensor.init_data mindspore.Tensor.inplace_update mindspore.Tensor.item mindspore.Tensor.itemset mindspore.Tensor.itemsize mindspore.Tensor.masked_fill mindspore.Tensor.masked_select mindspore.Tensor.minimum mindspore.Tensor.nbytes mindspore.Tensor.ndim mindspore.Tensor.nonzero mindspore.Tensor.narrow mindspore.Tensor.ptp mindspore.Tensor.ravel mindspore.Tensor.repeat mindspore.Tensor.reshape mindspore.Tensor.resize mindspore.Tensor.scatter_add mindspore.Tensor.scatter_div mindspore.Tensor.scatter_max mindspore.Tensor.scatter_min mindspore.Tensor.scatter_mul mindspore.Tensor.scatter_sub mindspore.Tensor.searchsorted mindspore.Tensor.select mindspore.Tensor.shape mindspore.Tensor.size mindspore.Tensor.split mindspore.Tensor.squeeze mindspore.Tensor.strides mindspore.Tensor.sum mindspore.Tensor.swapaxes mindspore.Tensor.T mindspore.Tensor.take mindspore.Tensor.to_tensor mindspore.Tensor.trace mindspore.Tensor.transpose mindspore.Tensor.unique_consecutive mindspore.Tensor.unique_with_pad mindspore.Tensor.unsorted_segment_max mindspore.Tensor.unsorted_segment_min mindspore.Tensor.unsorted_segment_prod 类型转换 ^^^^^^^^^^^^^^^^ .. mscnplatformautosummary:: :toctree: Tensor :nosignatures: mindspore.Tensor.asnumpy mindspore.Tensor.astype mindspore.Tensor.from_numpy mindspore.Tensor.to_coo mindspore.Tensor.to_csr 梯度剪裁 ^^^^^^^^^^^^^^^^ .. mscnplatformautosummary:: :toctree: Tensor :nosignatures: mindspore.Tensor.clip Parameter操作方法 -------------------- .. mscnplatformautosummary:: :toctree: Tensor :nosignatures: mindspore.Tensor.assign_value 其他方法 -------------------- .. mscnplatformautosummary:: :toctree: Tensor :nosignatures: mindspore.Tensor.flush_from_cache mindspore.Tensor.set_const_arg