Fields in the TBE Operator UT Case Definition File

**Table 1** TBE operator UT case definition file (.json)
Parameter		Description
Operator[xx]	-	Optional.
-	OpName	Operator name.
-	TestName	Mandatory. Test case name.
-	SocVersion	Mandatory. Supported types of the Ascend AI Processor. You can enter all, indicating that all of the Ascend AI Processors are supported.
-	FunctionType	Mandatory. Supported function types. Corresponding parameters are as follows: add_precision_case: Adds a precision test case for the current operator. add_case: Adds an operator compilation test for the current operator to test whether the operator supports this specification and can compile an .o file.
Input[xx]	-	Mandatory. Operator input.
-	Name	Optional. Operator input name, which is of the string type.
-	Format	Mandatory. A string. Format of the input tensor. Must not be empty. Common data formats are as follows: NCHW NHWC ND: any format. NC1HWC0: a 5D format defined by Huawei. C0 is closely related to the micro-architecture, and the value is equal to the Cube Unit size, for example, 16. C1 is obtained by dividing the C dimension by C0, that is, C1 = C/C0. When the division is not exact, the last data segment is padded to C0. FRACTAL_Z: a format of the convolution weight. FRACTAL_NZ: fractal format defined by Huawei. The data format of the output matrix is NW1H1H0W0 during Cube Unit computation. The matrix is divided into (H1 x W1) fractals in column-major order, which looks like an N-shape layout. Each fractal consists of (H0 x W0) elements in row-major order, resembling a z-shaped layout. Therefore the NW1H1H0W0 format is referred to as the Nz format. (H0 x W0) indicates the size of a fractal, as shown in the following figure.
-	OriginFormat	Optional. Original tensor format. If this parameter is not carried, the original tensor format is retained.
-	Type	Mandatory. A string. All input and output tensors must support the same number of data types. Input data type. bool int8 uint8 int16 uint16 int32 int64 uint32 uint64 float16 float
-	Shape	Mandatory. An int or a 1D array of ints. Input tensor shape. All input and output tensors must support the same number of shapes. For example: [8, 3, 256, 256]. If you enter an invalid shape, for example, [0], an error is reported. Note that the configured shape must match the format.
-	OriginShape	Optional. Original tensor shape. If this field is not carried, the original tensor shape is retained.
Output[xx]	-	Mandatory. Operator output.
-	Name	Operator input name, which is of the string type.
-	Format	Mandatory. A string. Format of the output tensor. Must not be empty. Common data formats are as follows: NCHW NHWC ND: any format. NC1HWC0: a 5D format defined by Huawei. C0 is closely related to the micro-architecture, and the value is equal to the Cube Unit size, for example, 16. C1 is obtained by dividing the C dimension by C0, that is, C1 = C/C0. When the division is not exact, the last data segment is padded to C0. FRACTAL_Z: a format of the convolution weight. FRACTAL_NZ: fractal format defined by Huawei. The data format of the output matrix is NW1H1H0W0 during Cube Unit computation. The matrix is divided into (H1 x W1) fractals in column-major order, which looks like an N-shape layout. Each fractal consists of (H0 x W0) elements in row-major order, resembling a z-shaped layout. Therefore the NW1H1H0W0 format is referred to as the Nz format. (H0 x W0) indicates the size of a fractal, as shown in the following figure.
-	OriginFormat	Optional. Original tensor format. If this parameter is not carried, the original tensor format is retained.
-	Type	Mandatory. A string. Output data type. bool int8 uint8 int16 uint16 int32 int64 uint32 uint64 float16 float
-	Shape	Mandatory. An int or a 1D or 2D array of ints. Input tensor shape. For example: [8, 3, 256, 256]. If you enter an invalid shape, for example, [0], an error is reported.
-	OriginShape	Optional. Original tensor shape. If this field is not carried, the original tensor shape is retained.
Attribute	-	Optional.
-	Name	Optional. A string.
-	Type	Required if attr is configured. Attribute data type. A string. Output data type. bool int float string list_bool list_int list_float list_string list_list_int
-	Value	Required if attr is configured. Must not be null. A string. Attribute value. Varies according to type. bool: true/false int: 10 float: 1.0 string: "NCHW" list_bool: [false, true] list_int: [1, 224, 224, 3] list_float: [1.0, 0.0] list_string: ["str1", "str2"] list_list_int: [[1, 3, 5, 7], [2, 4, 6, 8]]

Parent topic: Reference