nvtt
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#include <stddef.h>
#include <stdint.h>
Go to the source code of this file.
Classes | |
struct | nvtt::RefImage |
Use this structure to reference each of the input images. More... | |
struct | nvtt::CPUInputBuffer |
Structure containing all the input images from host memory. The image data is reordered by tiles. More... | |
struct | nvtt::GPUInputBuffer |
Structure containing all the input images from device memory. The image data is reordered by tiles. More... | |
struct | nvtt::EncodeSettings |
Namespaces | |
namespace | nvtt |
Namespace for all public non-macro NVTT fields. | |
Functions | |
NVTT_API bool | nvtt::isCudaSupported () |
Check if CUDA is supported by the run-time environment. | |
NVTT_API void | nvtt::useCurrentDevice () |
Tells NVTT to always use an application-set device rather than selecting its own. | |
NVTT_API bool | nvtt::nvtt_encode (const CPUInputBuffer &input, void *output, const EncodeSettings &settings) |
NVTT_API bool | nvtt::nvtt_encode (const GPUInputBuffer &input, void *output, const EncodeSettings &settings) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_bc1 (const CPUInputBuffer &input, bool fast_mode, void *output, bool useGpu=false, bool to_device_mem=false, nvtt::TimingContext *tc=nullptr) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_bc1 (const GPUInputBuffer &input, bool fast_mode, void *output, bool to_device_mem=true, nvtt::TimingContext *tc=nullptr) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_bc1a (const CPUInputBuffer &input, bool fast_mode, void *output, bool useGpu=false, bool to_device_mem=false, nvtt::TimingContext *tc=nullptr) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_bc1a (const GPUInputBuffer &input, void *output, bool to_device_mem=true, nvtt::TimingContext *tc=nullptr) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_bc2 (const CPUInputBuffer &input, bool fast_mode, void *output, bool useGpu=false, bool to_device_mem=false, nvtt::TimingContext *tc=nullptr) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_bc2 (const GPUInputBuffer &input, void *output, bool to_device_mem=true, nvtt::TimingContext *tc=nullptr) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_bc3 (const CPUInputBuffer &input, bool fast_mode, void *output, bool useGpu=false, bool to_device_mem=false, nvtt::TimingContext *tc=nullptr) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_bc3 (const GPUInputBuffer &input, void *output, bool to_device_mem=true, nvtt::TimingContext *tc=nullptr) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_bc3n (const CPUInputBuffer &input, int qualityLevel, void *output, nvtt::TimingContext *tc=nullptr) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_bc3_rgbm (const CPUInputBuffer &input, void *output, nvtt::TimingContext *tc=nullptr) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_bc4 (const CPUInputBuffer &input, bool slow_mode, void *output, bool useGpu=false, bool to_device_mem=false, nvtt::TimingContext *tc=nullptr) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_bc4 (const GPUInputBuffer &input, void *output, bool to_device_mem=true, nvtt::TimingContext *tc=nullptr) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_bc4s (const CPUInputBuffer &input, bool slow_mode, void *output, bool useGpu=false, bool to_device_mem=false, nvtt::TimingContext *tc=nullptr) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_bc4s (const GPUInputBuffer &input, void *output, bool to_device_mem=true, nvtt::TimingContext *tc=nullptr) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_ati2 (const CPUInputBuffer &input, bool slow_mode, void *output, bool useGpu=false, bool to_device_mem=false, nvtt::TimingContext *tc=nullptr) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_ati2 (const GPUInputBuffer &input, void *output, bool to_device_mem=true, nvtt::TimingContext *tc=nullptr) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_bc5 (const CPUInputBuffer &input, bool slow_mode, void *output, bool useGpu=false, bool to_device_mem=false, nvtt::TimingContext *tc=nullptr) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_bc5 (const GPUInputBuffer &input, void *output, bool to_device_mem=true, nvtt::TimingContext *tc=nullptr) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_bc5s (const CPUInputBuffer &input, bool slow_mode, void *output, bool useGpu=false, bool to_device_mem=false, nvtt::TimingContext *tc=nullptr) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_bc5s (const GPUInputBuffer &input, void *output, bool to_device_mem=true, nvtt::TimingContext *tc=nullptr) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_bc7 (const CPUInputBuffer &input, bool slow_mode, bool imageHasAlpha, void *output, bool useGpu=false, bool to_device_mem=false, nvtt::TimingContext *tc=nullptr) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_bc7 (const GPUInputBuffer &input, bool imageHasAlpha, void *output, bool to_device_mem=true, nvtt::TimingContext *tc=nullptr) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_bc6h (const CPUInputBuffer &input, bool slow_mode, bool is_signed, void *output, bool useGpu=false, bool to_device_mem=false, nvtt::TimingContext *tc=nullptr) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_bc6h (const GPUInputBuffer &input, bool is_signed, void *output, bool to_device_mem=true, nvtt::TimingContext *tc=nullptr) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_astc (const CPUInputBuffer &input, int qualityLevel, bool imageHasAlpha, void *output, bool useGpu=false, bool to_device_mem=false, nvtt::TimingContext *tc=nullptr) |
NVTT_DEPRECATED_API void | nvtt::nvtt_encode_astc (const GPUInputBuffer &input, int qualityLevel, bool imageHasAlpha, void *output, bool to_device_mem=true, nvtt::TimingContext *tc=nullptr) |
Header of the low-level interface of NVTT.
This contains functions for compressing to each of the formats NVTT supports, as well as different ways of specifying the input and output. For instance, the low-level API allows both compression input and output to exist on the GPU, removing the need for any CPU-to-GPU or GPU-to-CPU copies.
Here are some general notes on the low-level compression functions.
These functions often support "fast-mode" and "slow-mode" compression. These switch between two compression algorithms: fast-mode algorithms are faster but lower-quality, while slow-mode algorithms are slower but higher-quality. Other functions support multiple quality levels.
Sometimes, the fast-mode or slow-mode algorithm isn't available on the GPU. In that case, that compression will be done on the CPU instead. In this case, slow-mode compression on the GPU may be faster than fast-mode compression on the CPU.
To use GPU compression, there must be a GPU that supports CUDA. See nvtt::isCudaSupported().