[object Object]

[object Object][object Object]undefined[object Object]

• This API is used to pad the input tensor self based on the pad parameter. The padding value is value.

• Formulas:

  • Shape deduction of the [object Object] tensor:

    $$\begin{aligned} Assume that the shape of the input self is as follows: \\ &[dim0_{in},dim1_{in}, dim2_{in}, dim3_{in}] Assume that \\ &pad = &[dim3_{begin},dim3_{end}, \\&&dim2_{begin},dim2_{end}, \\&&dim1_{begin},dim1_{end}, \\&&dim0_{begin},dim0_{end}] \end{aligned}$$ $$\begin{aligned} & Then, the shape of out is as follows: \\ &[dim0_{out}, dim1_{out}, dim2_{out}, dim3_{out}] = &[dim0_{begin}+dim0_{in}+dim0_{end}, \\&&dim1_{begin}+dim1_{in}+dim1_{end}, \\&&dim2_{begin}+dim2_{in}+dim2_{end}, \\&&dim3_{begin}+dim3_{in}+dim3_{end}] \end{aligned}$$

  • Example 1: (The length of the [object Object] array is twice the number of dimensions of [object Object].)

    $$\begin{aligned} selfShape &= [1, 1, 1, 1, 1]\\ pad &= \lbrace 0, 1, 2, 3, 4, 5, 6, 7, 8, 9\rbrace \\ outputShape &= [8+1+9, 6+1+7, 4+1+5, 2+1+3, 0+1+1]\\ &= [18,14,10,6,2] \end{aligned}$$

  • Example 2: (The length of the [object Object] array is less than twice the number of dimensions of [object Object].)

    $$\begin{aligned} selfShape &= [1, 1, 1, 1, 1]\\ pad &= \lbrace 0, 1, 2, 3, 4, 5\rbrace \\ outputShape &= [0+1+0, 0+1+0, 4+1+5, 2+1+3, 0+1+1]\\ &= [1,1,10,6,2] \end{aligned}$$

[object Object]

Each operator has calls. First, [object Object] is called to obtain the workspace size required for computation and the executor that contains the operator computation process. Then, [object Object] is called to perform computation.

[object Object]

• Parameters

  [object Object]
  • For [object Object]Atlas training products[object Object] and [object Object]Atlas inference products[object Object]: The data type cannot be BFLOAT16, HIFLOAT8, FLOAT8_E5M2, FLOAT8_E4M3FN or FLOAT8_E8M0.
  • For [object Object]Atlas A3 training products/Atlas A3 inference products[object Object] and [object Object]Atlas A2 training products/Atlas A2 inference products[object Object]: The data type cannot be HIFLOAT8, FLOAT8_E5M2, FLOAT8_E4M3FN or FLOAT8_E8M0.
  • The data types of [object Object] and [object Object] must meet the data type deduction rules (see ).
  • If the data type of self is HIFLOAT8, FLOAT8_E5M2, FLOAT8_E4M3FN or FLOAT8_E8M0, only the bit values of value can be all 0s.

• Return Value

  [object Object]: status code. For details, see .

  The first-phase API implements input parameter validation. The following error codes may be returned:

  [object Object]

[object Object]

• Parameters

  [object Object]

• Returns

  [object Object]: status code. For details, see .

[object Object]

• Deterministic computation:
  • [object Object] defaults to a deterministic implementation.

[object Object]

The following example is for reference only. For details, see .