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Interp
Interp Interp Inputs: input : float32(NC4HW4) shape : int32(optional) Outputs: output : float32 Backend: CPU: supports Nearstneighbor, bilinear, cubic Metal V... -
Slice
Slice Slice Inputs: input : float32(NHWC|NC4HW4) Outputs: output0 : float32 output1 : float32 outputn : float32 Backend: CPU Metal Vulkan: supports NC4HW4 inp... -
Pooling
Pooling Pooling Inputs: input : float32(NC4HW4) Outpus: output : float32 Backend: CPU Metal Vulkan OpenCL Caffe op: Pooling Tensorflow op: MaxPool... -
DetectionOutput
DetectionOutput DetectionOutput Inputs: input : float32(NC4HW4) confidence : float32(NC4HW4) priorbox : float32(NC4HW4) Outputs: output : float32 Backend: CPU Met... -
Convolution
Convolution Convolution Inputs input : float32|int8(NC4HW4) Outputs: output : float32|int8 Backend: CPU Metal Vulkan OpenCL Caffe op: Convolution CuD... -
Normalize
Normalize Normalize Inputs: input : float32(NC4HW4) Outputs: output : float32 Backend: CPU: unsupport acrossSpatial and channelShared Metal Vulkan: unsupport ... -
LSTM
LSTM LSTM Inputs: input0 : float32(NC4HW4) input1 : float32(NC4HW4, optional) Outputs: output : float32 Backend: CPU Metal Vulkan: support one input only ... -
其他常见问题
其他常见问题 问题：import paddle.fluid后logging模块无法使用，如何解决？ 问题：使用X2paddle 从Caffe 转Paddle model时，报错 TypeError: __new__() got an unexpected keyword argument 'serialized_options' ，如何处理？ 问题：W... -
Command Line Examples
ImageNet tutorial LeNet MNIST Tutorial CIFAR-10 tutorial Fine-tuning for style recognition Feature extraction with Caffe C++ code. CaffeNet C++ Classification example Web dem... -
Concat
Concat Concat Inputs: input0 : float32(NHWC|NC4HW4) input1 : float32(NHWC|NC4HW4) inputn : float32(NHWC|NC4HW4) Outputs: output : float32 Backend: CPU Metal V...