framework/register_types.h" #include "thirdparty/tensorflow/include/tensorflow/core/framework/shape_inference.h" using namespace tensorflow; REGISTER_OP("CustomOp") .Input("input: float") .Output("output: float") .SetShapeFn([](shape_inference::InferenceContext* c) { c->set_output(0, c-...
其中最重要的当然就是机器学习模型,Core ML只支持mlmodel格式的模型,但苹果提供了一个转换工具可以将Caffe、Keras等框架训练的机器学习模型转换为mlmodel格式供应用使用,还有一些第三方的工具可以将Tensorflow、MXNet转换为mlmodel格式的模型,苹果官方也提供了一些mlmodel格式的深度学习模型,如VGG16、GooLeNet等用于ImageNet...
#include "tensorflow/core/framework/reader_op_kernel.h" class TextLineReaderOp : public ReaderOpKernel { public: explicit TextLineReaderOp(OpKernelConstruction* context) : ReaderOpKernel(context) { int skip_header_lines = -1; OP_REQUIRES_OK(context, context->GetAttr("skip_header_lines", &skip...
#include "tensorflow/core/framework/op_kernel.h" using namespace tensorflow; class ZeroOutOp : public OpKernel { public: explicit ZeroOutOp(OpKernelConstruction* context) : OpKernel(context) {} void Compute(OpKernelContext* context) override { // 获取输入 tensor const Tensor& input_tensor = cont...
#include"tensorflow/core/framework/op.h"#include"tensorflow/core/framework/shape_inference.h"#include"tensorflow/core/framework/op_kernel.h"#include<cfloat>#include"third_party/eigen3/unsupported/Eigen/CXX11/Tensor"#include"tensorflow/core/framework/tensor_shape.h"#include<iostream>using namespace std...
classResourceBase:publiccore::RefCounted{public:virtualstringDebugString()=0;virtualint64MemoryUsed()const{return0;}; }; 它继承自core::RefCounted,也就是说,资源本身拥有引用计数的功能。这是为了方便对资源的使用进行监控,在资源无用后能够及时将它释放掉。
tensorflow.python.framework.errors_impl.InternalError: Failed copying input tensor from /job:localhost/replica:0/task:0/device:CPU:0 to /job:localhost/replica:0/task:0/device:GPU:0 in order to run _EagerConst: Dst tensor is not initialized. ...
_core/python/framework/importer.py in import_graph_def(graph_def, input_map, return_elements, name, op_dict, producer_op_list) 403 name=name, 404 op_dict=op_dict, --> 405 producer_op_list=producer_op_list) 406 407 ~/miniconda3/envs/tf2/lib/python3.6/site-packages/tensorflow_core/...
tensorflow/core/framework/op_def.pb.h:10:40: fatal error: google/protobuf/port_def.inc: No such file or directory #include <google/protobuf/port_def.inc> Same here, we're not using Bazel. Looks like the problem is when creating the pip package, we missed to copy header files that ...
classDeviceContext:publiccore::RefCounted {public://...virtualvoidCopyCPUTensorToDevice(constTensor* cpu_tensor, Device* device, Tensor* device_tensor, StatusCallback done)const;virtualvoidCopyDeviceTensorToCPU(constTensor* device_tensor, StringPiece tensor_name, Device* device, Tensor* cpu_tensor,...