onnxruntime c++ 量化怎么把float32数据转换为Ort::Float16_t
时间: 2024-04-18 16:32:30 浏览: 390
要将float32数据转换为Ort::Float16_t类型(即float16),可以使用ONNX Runtime提供的API进行转换。以下是一种可能的方法:
```cpp
#include <onnxruntime/core/providers/cuda/cuda_provider_factory.h>
#include <onnxruntime/core/providers/cpu/cpu_provider_factory.h>
#include <onnxruntime/core/providers/cpu/math/quantize_linear.h>
#include <onnxruntime/core/providers/cpu/math/dequantize_linear.h>
// ...
// Create an Ort::Allocator with the desired memory allocation strategy
Ort::AllocatorWithDefaultOptions allocator;
// Create input and output tensors
Ort::Value input_tensor = Ort::Value::CreateTensor<float>(allocator, input_data, input_size, input_shape.data(), input_shape.size());
Ort::Value output_tensor = Ort::Value::CreateTensor<Ort::Float16_t>(allocator, nullptr, output_size, output_shape.data(), output_shape.size());
// Get the quantization parameters (scale and zero point) for float16 conversion
float scale = ...; // Compute or set the scale factor for quantization
int32_t zero_point = ...; // Compute or set the zero point for quantization
// Quantize the input tensor from float32 to float16
Ort::QuantizeLinear<float, Ort::Float16_t>(input_tensor.GetTensorMutableData<float>(), output_tensor.GetTensorMutableData<Ort::Float16_t>(),
input_size, scale, zero_point);
// Perform computations using the quantized input tensor
// ...
// Dequantize the output tensor back to float32
Ort::DequantizeLinear<Ort::Float16_t, float>(output_tensor.GetTensorMutableData<Ort::Float16_t>(), output_tensor.GetTensorMutableData<float>(),
output_size, scale, zero_point);
```
请注意,这只是一种示例,并且具体的代码实现可能会根据您的应用程序和环境而有所不同。您还需要根据实际情况设置输入数据、尺寸和形状,并计算或设置适当的量化参数(比例因子和零点)。
此外,请确保已正确配置和初始化ONNX Runtime,并根据所选的硬件和提供程序(如CUDA或CPU)进行设置。
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