下面我们将数据集按行写入 csv 文件中(从鸢尾花数据集中随机选取 5 个样本,并截取前两个样本特征)。...,它们可以转换为张量格式。...) tf.Tensor# ([0 0 1 2 2], shape=(5,), dtype=int32) References: 《机器学习实战》 《动手学深度学习》...
用于存储已在各种框架之间相互转换的模型的存储库。支持的框架有TensorFlow、PyTorch、ONNX、OpenVINO、TFJS、TFTRT、TensorFlowLite(Float32/16/INT8)、EdgeTPU、CoreML。 - KangChou/PINTO_model_zoo
@@ -338,6 +342,7 @@ Status QnnModelWrapper::UnpackZeroPoints(const std::string& initializer_name, }); break; } case ONNX_NAMESPACE::TensorProto_DataType_UINT4: // UINT4 zero-points are unpacked as 8-bit values for QNN case ONNX_NAMESPACE::TensorProto_DataType_UINT8: { auto uint...
NumPy 数组中的元素都需要具有相同的数据类型,因此在存储器中将具有相同的大小。...import numpy as np a = np.array([[0,1,2],[3,4,5],[6,7,8]], dtype=np.float32) 我们来看一下ndarray如何在内存中储存的:关于数组的描述信息保存在一个数据结构中...数据存储区域保存着数组中所有元素的二进...
in make_tensor_proto _AssertCompatible(values, dtype) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/tensor_util.py", line 302, in _AssertCompatible (dtype.name, repr(mismatch), type(mismatch).__name__)) TypeError: Expected int32, got list containing Tensors of ty...
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML. - PINTO0309/PINTO_model_zoo
Inverse Quantization of tflite's Sparse Tensor Densify to Refine a Clean Float32 Model Replace PyTorch's argsort with sort and export to ONNX A very simple tool that compresses the overall size of the ONNX model by aggregating duplicate constant values as much as possible. Simple Constant...
Inverse Quantization of tflite's Sparse Tensor Densify to Refine a Clean Float32 Model Replace PyTorch's argsort with sort and export to ONNX A very simple tool that compresses the overall size of the ONNX model by aggregating duplicate constant values as much as possible. Simple Constant...