mindspore.ops.truncate_div
- mindspore.ops.truncate_div(x, y)[source]
Divides the first input tensor by the second input tensor element-wise for integer types, negative numbers will round fractional quantities towards zero.
Inputs of x and y comply with the implicit type conversion rules to make the data types consistent. The inputs must be two tensors or one tensor and one scalar. When the inputs are two tensors, dtypes of them cannot be bool at the same time, and the shapes of them could be broadcast. When the inputs are one tensor and one scalar, the scalar could only be a constant.
Note
Broadcasting is supported.
- Parameters
- Returns
Tensor, the shape is the same as the one after broadcasting, and the data type is the one with higher precision or higher digits among the two inputs.
- Raises
TypeError – If x and y is not one of the following: Tensor, Number, bool.
- Supported Platforms:
Ascend
CPU
GPU
Examples
>>> x = Tensor(np.array([2, 4, -1]), mindspore.int32) >>> y = Tensor(np.array([3, 3, 3]), mindspore.int32) >>> output = ops.truncate_div(x, y) >>> print(output) [0 1 0]