tf.convert_to_tensor_or_sparse_tensor 该函数别名: tf.contrib.framework.convert_to_tensor_or_sparse_tensor tf.convert_to_tensor_or_sparse_tensor convert_to_tensor_or_sparse_tensor ( value , dtype = None , name = None ) 1. 2. 3. 4. 5. 输入格式 ARGS: value:A SparseTensor,SparseTensor...
2.0,3.0]# 将列表转换为NumPy数组my_array=np.array(my_list,dtype=np.float32)# 现在my_array是一个32位浮点数的NumPy数组print(my_array)```### 使用TensorFlow```pythonimporttensorflow as tf# 假设你有一个Python列表my_list=[1.0,2.0,3.0]# 将列表转换为TensorFlow张量my_tensor=tf.convert_to_tensor...
So here, machine learning models were built using TensorFlow, which required data in tensor format. so to convert that Python list into a tensor, I usedtf.convert_to_tensor()function. MY LATEST VIDEOS I successfully converted the data into a tensor and fed it to the model, so in this tu...
## convert lists to tensors train_seq = torch.tensor(tokens_train['input_ids']) train_mask = torch.tensor(tokens_train['attention_mask']) train_y = torch.tensor(train_labels.tolist()) val_seq = torch.tensor(tokens_val['input_ids']) val_mask = torch.tensor(tokens_val['attention_ma...
(self, X, Y):# swap color axis because# numpy img_shape: H x W x C# torch img_shape: C X H X WX = X.transpose((2, 0, 1))Y = Y.transpose((2, 0, 1))# convert to tensorX = torch.from_numpy(X)Y = torch.from_numpy(Y)if self.X_type is not None:X = X.type(...
在这两种情况下,my_tensor(在PyTorch中)和my_tensor_constant或my_tensor_convert(在TensorFlow中)都将是一个tensor对象,它们包含了原始list中的数据。注意,TensorFlow中的tf.constant()和tf.convert_to_tensor()在大多数情况下可以互换使用,但它们在底层实现和性能优化方面有所不同。tf.constant()创建的tensor是图...
# 图像列表 image_list = [image1, image2, ...] # 每个image为numpy数组 # 标签列表 label_list = [label1, label2, ...] # 每个label可以是数字或字符串 转换图像和标签为TensorFlow支持的格式: 代码语言:txt 复制 # 转换图像列表为TensorFlow张量 image_tensor = tf.convert_to_tensor(image...
I convert a pytorch model to onnx. example = torch.rand(10, 3, 224, 224) torch.onnx.export(net, # model being run example, # model input (or a tuple for multiple inputs) "./infer/tsm_resnet50.onnx", # where to save the model (can be a fi...
tensor_city = tf.convert_to_tensor(list(city_population)) print(tensor_city) From the output,tf.convert_to_tensorfunctions converted the dictonarycity_populationkeys into tensor liketf.Tensor([b’Los Angeles’ b’Chicago’ b’Houston’], shape=(3,), dtype=string). ...
pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration. pytorch-lightning - Deep learning framework to train, deploy, and ship AI products Lightning fast. stable-baselines3 - PyTorch implementations of Stable Baselines (deep) reinforcement learning algorithms. tensorflow -...