/usr/local/lib64/python3.6/site-packages/torch/include/ATen/native/quantized
NameSizeModeActions
cpu/-0755rm
affine_quantizer.h36220644editdlrm
affine_quantizer_base.h14440644editdlrm
Copy.h1730644editdlrm
fake_quant_affine.h17580644editdlrm
Edit: /usr/local/lib64/python3.6/site-packages/torch/include/ATen/native/quantized/affine_quantizer.h (3622B)
#pragma once #include #include #include namespace at { namespace native { Tensor& quantize_tensor_per_tensor_affine( const Tensor& rtensor, Tensor& qtensor, double scale, int64_t zero_point); Tensor& quantize_tensor_per_channel_affine( const Tensor& rtensor, Tensor& qtensor, Tensor scales, Tensor zero_points, int64_t axis); Tensor& quantize_tensor_per_channel_float_qparams( const Tensor& rtensor, Tensor& qtensor, Tensor scales, Tensor zero_points, int64_t axis); Tensor& dequantize_tensor_per_tensor_affine( const Tensor& qtensor, Tensor& rtensor, double scale, int64_t zero_point); Tensor& dequantize_tensor_per_channel_affine( const Tensor& qtensor, Tensor& rtensor, Tensor scales, Tensor zero_points, int64_t axis); Tensor& dequantize_tensor_per_channel_float_qparams( const Tensor& qtensor, Tensor& rtensor, Tensor scales, Tensor zero_points, int64_t axis); using quantize_tensor_per_tensor_affine_fn = void (*)(const Tensor& rtensor, Tensor& qtensor, double scale, int64_t zero_point); using quantize_tensor_per_channel_affine_fn = void (*)( const Tensor& rtensor, Tensor& qtensor, const Tensor& scales, const Tensor& zero_points, int64_t axis); using quantize_tensor_per_channel_float_qparams_fn = void (*)( const Tensor& rtensor, Tensor& qtensor, const Tensor& scales, const Tensor& zero_points, int64_t axis); using dequantize_tensor_per_tensor_affine_fn = void (*)(const Tensor& qtensor, Tensor& rtensor, double scale, int64_t zero_point); using dequantize_tensor_per_channel_affine_fn = void (*)( const Tensor& qtensor, Tensor& rtensor, const Tensor& scales, const Tensor& zero_points, int64_t axis); using dequantize_tensor_per_channel_float_qparams_fn = void (*)( const Tensor& qtensor, Tensor& rtensor, const Tensor& scales, const Tensor& zero_points, int64_t axis); using quantize_tensor_per_tensor_affine_sub_byte_fn = void (*)(const Tensor& rtensor, Tensor& qtensor, float scale, float zero_point); using dequantize_tensor_per_tensor_affine_sub_byte_fn = void (*)(const Tensor& qtensor, Tensor& rtensor, float scale, float zero_point); DECLARE_DISPATCH( quantize_tensor_per_tensor_affine_fn, quantize_tensor_per_tensor_affine_stub); DECLARE_DISPATCH( quantize_tensor_per_channel_affine_fn, quantize_tensor_per_channel_affine_stub); DECLARE_DISPATCH( quantize_tensor_per_channel_float_qparams_fn, quantize_tensor_per_channel_float_qparams_stub); DECLARE_DISPATCH( dequantize_tensor_per_tensor_affine_fn, dequantize_tensor_per_tensor_affine_stub); DECLARE_DISPATCH( dequantize_tensor_per_channel_affine_fn, dequantize_tensor_per_channel_affine_stub); DECLARE_DISPATCH( dequantize_tensor_per_channel_float_qparams_fn, dequantize_tensor_per_channel_float_qparams_stub); DECLARE_DISPATCH( quantize_tensor_per_tensor_affine_sub_byte_fn, quantize_tensor_per_tensor_affine_sub_byte_stub); DECLARE_DISPATCH( dequantize_tensor_per_tensor_affine_sub_byte_fn, dequantize_tensor_per_tensor_affine_sub_byte_stub); template TORCH_API Tensor quantize_tensor( Tensor rtensor, Tensor qtensor, double scale, int64_t zero_point); template TORCH_API Tensor dequantize_tensor( Tensor qtensor, Tensor rtensor, double scale, int64_t zero_point); } // namespace native } // namespace at