• Docs >
  • Library API >
  • Template Function at::symint::_empty_per_channel_affine_quantized(c10::SymIntArrayRef, const at::Tensor&, const at::Tensor&, int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
  • Edit on GitHub
Shortcuts

Template Function at::symint::_empty_per_channel_affine_quantized(c10::SymIntArrayRef, const at::Tensor&, const at::Tensor&, int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)

Function Documentation

template<typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
at::Tensor at::symint::_empty_per_channel_affine_quantized(c10::SymIntArrayRef size, const at::Tensor &scales, const at::Tensor &zero_points, int64_t axis, ::std::optional<at::ScalarType> dtype, ::std::optional<at::Layout> layout, ::std::optional<at::Device> device, ::std::optional<bool> pin_memory, ::std::optional<at::MemoryFormat> memory_format)

Docs

Access comprehensive developer documentation for PyTorch

View Docs

Tutorials

Get in-depth tutorials for beginners and advanced developers

View Tutorials

Resources

Find development resources and get your questions answered

View Resources