Size#
Size - 13#
Version
name: Size (GitHub)
domain: main
since_version: 13
function: False
support_level: SupportType.COMMON
shape inference: True
This version of the operator has been available since version 13.
Summary
Takes a tensor as input and outputs a int64 scalar that equals to the total number of elements of the input tensor.
Inputs
data (heterogeneous) - T: An input tensor.
Outputs
size (heterogeneous) - T1: Total number of elements of the input tensor
Type Constraints
T in ( tensor(bfloat16), tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ): Input tensor can be of arbitrary type.
T1 in ( tensor(int64) ): Constrain output to int64 tensor, which should be a scalar though.
Examples
Differences
0 | 0 | Takes a tensor as input and outputs a int64 scalar that equals to the total number of elements of the input tensor. | Takes a tensor as input and outputs a int64 scalar that equals to the total number of elements of the input tensor. |
1 | 1 | | |
2 | 2 | **Inputs** | **Inputs** |
3 | 3 | | |
4 | 4 | * **data** (heterogeneous) - **T**: | * **data** (heterogeneous) - **T**: |
5 | 5 | An input tensor. | An input tensor. |
6 | 6 | | |
7 | 7 | **Outputs** | **Outputs** |
8 | 8 | | |
9 | 9 | * **size** (heterogeneous) - **T1**: | * **size** (heterogeneous) - **T1**: |
10 | 10 | Total number of elements of the input tensor | Total number of elements of the input tensor |
11 | 11 | | |
12 | 12 | **Type Constraints** | **Type Constraints** |
13 | 13 | | |
14 | 14 | * **T** in ( | * **T** in ( |
15 | tensor(bfloat16), | ||
15 | 16 | tensor(bool), | tensor(bool), |
16 | 17 | tensor(complex128), | tensor(complex128), |
17 | 18 | tensor(complex64), | tensor(complex64), |
18 | 19 | tensor(double), | tensor(double), |
19 | 20 | tensor(float), | tensor(float), |
20 | 21 | tensor(float16), | tensor(float16), |
21 | 22 | tensor(int16), | tensor(int16), |
22 | 23 | tensor(int32), | tensor(int32), |
23 | 24 | tensor(int64), | tensor(int64), |
24 | 25 | tensor(int8), | tensor(int8), |
25 | 26 | tensor(string), | tensor(string), |
26 | 27 | tensor(uint16), | tensor(uint16), |
27 | 28 | tensor(uint32), | tensor(uint32), |
28 | 29 | tensor(uint64), | tensor(uint64), |
29 | 30 | tensor(uint8) | tensor(uint8) |
30 | 31 | ): | ): |
31 | 32 | Input tensor can be of arbitrary type. | Input tensor can be of arbitrary type. |
32 | 33 | * **T1** in ( | * **T1** in ( |
33 | 34 | tensor(int64) | tensor(int64) |
34 | 35 | ): | ): |
35 | 36 | Constrain output to int64 tensor, which should be a scalar though. | Constrain output to int64 tensor, which should be a scalar though. |
Size - 1#
Version
name: Size (GitHub)
domain: main
since_version: 1
function: False
support_level: SupportType.COMMON
shape inference: True
This version of the operator has been available since version 1.
Summary
Takes a tensor as input and outputs a int64 scalar that equals to the total number of elements of the input tensor.
Inputs
data (heterogeneous) - T: An input tensor.
Outputs
size (heterogeneous) - T1: Total number of elements of the input tensor
Type Constraints
T in ( tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ): Input tensor can be of arbitrary type.
T1 in ( tensor(int64) ): Constrain output to int64 tensor, which should be a scalar though.