Instructions to use CatSnowdrop/universal_onnxruntime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use CatSnowdrop/universal_onnxruntime with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 571 Bytes
610d9c2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | from .base_operator import QuantOperatorBase
# Use the quantized tensor as input without DQ.
class QArgMax(QuantOperatorBase):
def __init__(self, onnx_quantizer, onnx_node):
super().__init__(onnx_quantizer, onnx_node)
def quantize(self):
node = self.node
quantized_input_value = self.quantizer.find_quantized_value(node.input[0])
if quantized_input_value is None:
self.quantizer.new_nodes += [node]
return
node.input[0] = quantized_input_value.q_name
self.quantizer.new_nodes += [node]
|