Convert To

group Convert To

Functions

NVCVStatus cvcudaConvertToCreate(NVCVOperatorHandle *handle)

Constructs and an instance of the ConvertTo operator.

Parameters:

handle – [out] Where the image instance handle will be written to.

  • Must not be NULL.

Return values:

  • NVCV_ERROR_INVALID_ARGUMENT – Handle is null.

  • NVCV_ERROR_OUT_OF_MEMORY – Not enough memory to create the operator.

  • NVCV_SUCCESS – Operation executed successfully.

NVCVStatus cvcudaConvertToSubmit(NVCVOperatorHandle handle, cudaStream_t stream, NVCVTensorHandle in, NVCVTensorHandle out, const double alpha, const double beta, NVCVRoundMode roundMode)

Executes the ConvertTo operation on the given cuda stream. This operation does not wait for completion.

outputs(x,y) = saturate_cast<out_type>(α * inputs(x, y) + β)

When the output type is integral, roundMode selects how the floating-point result is rounded before the saturating cast: NVCV_ROUND_NEAREST (round to nearest, ties to even — the default and historical behavior) or NVCV_ROUND_TRUNCATE (truncate toward zero). The mode has no effect when the output type is floating-point.

Limitations:

Input: Data Layout: [kNHWC, kHWC, kNCHW, kCHW] Channels: [1-4]

Data Type

Allowed

8bit Unsigned

Yes

8bit Signed

Yes

16bit Unsigned

Yes

16bit Signed

Yes

32bit Unsigned

No

32bit Signed

Yes

16bit Float

No

32bit Float

Yes

64bit Float

Yes

Output: Data Layout: [kNHWC, kHWC, kNCHW, kCHW] Channels: [1-4]

Data Type

Allowed

8bit Unsigned

Yes

8bit Signed

Yes

16bit Unsigned

Yes

16bit Signed

Yes

32bit Unsigned

No

32bit Signed

Yes

16bit Float

No

32bit Float

Yes

64bit Float

Yes

Input/Output dependency 

 Property      |  Input == Output
-------------- | -------------
 Data Layout   | Yes
 Data Type     | No
 Number        | Yes
 Channels      | Yes
 Width         | Yes
 Height        | Yes

Parameters:

  • handle – [in] Handle to the operator.

    • Must not be NULL.

  • stream – [in] Handle to a valid CUDA stream.

  • in – [in] input tensor.

  • out – [out] output tensor.

  • alpha – [in] Scalar for output data.

  • beta – [in] Offset for the data.

  • roundMode – [in] Rounding mode used for float-to-integer outputs, cf. NVCVRoundMode. Use NVCV_ROUND_NEAREST to preserve the historical behavior.

Return values:

  • NVCV_ERROR_INVALID_ARGUMENT – Some parameter is outside valid range.

  • NVCV_ERROR_INTERNAL – Internal error in the operator, invalid types passed in.

  • NVCV_SUCCESS – Operation executed successfully.