TypeError: expected np.ndarray (got numpy.float32) 这个错误表明你的代码中有一个函数或操作期望接收一个 np.ndarray(NumPy 数组)类型的参数,但实际上却收到了一个 numpy.float32(NumPy 的浮点数)类型的参数。为了解决这个问题,我们需要找到出错的位置并相应地调整代码。 以下是解决这个问题的步骤: 理解错误消息...
TypeError: Expected int32, got list containing Tensors of type '_Message' instead. outputs_forward,- shape,(1, 2, 100) outputs_backward-shape (1, 2, 100) output = tf.concat([outputs_forward, outputs_backward],2,name='output_sequence') tf version -tensorflow-gpu==0.12.0tir...
/control/cartpole_gym/envs/cartpole.blend.py", line 55, in _apply_motor_force self.motor.motor_lin_target_velocity = self.motor.motor_lin_target_velocity + \ TypeError: bpy_struct: item.attr = val: RigidBodyConstraint.motor_lin_target_velocity expected a float type, not numpy.ndarray...
torch.set_default_tensor_type(torch.FloatTensor) # 类型转换 tensor = tensor.cuda() tensor = tensor.cpu() tensor = tensor.float() tensor = tensor.long() torch.Tensor与np.ndarray转换 除了CharTensor,其他所有CPU上的张量都支持转换为numpy格式然后再转换回来。 ndarray = tensor.cpu().numpy() tensor...
26 # Use Series' float64 values if pandas, else use values as passedTypeError: Argument 'real' has incorrect type (expected numpy.ndarray, got DataFrame)Code#RSI import talib.abstract as ta inputs = { 'close': df1 } rsi = abstract.RSI real = rsi(inputs, timeperiod=14) Collaborator mr...