Provides data to the Net from memory. More...
#include <memory_data_layer.hpp>
Inheritance diagram for caffe::MemoryDataLayer< Dtype >:
Public Member Functions | |
| MemoryDataLayer (const LayerParameter ¶m) | |
| virtual void | DataLayerSetUp (const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top) |
| virtual const char * | type () const |
| Returns the layer type. | |
| virtual int | ExactNumBottomBlobs () const |
| Returns the exact number of bottom blobs required by the layer, or -1 if no exact number is required. More... | |
| virtual int | ExactNumTopBlobs () const |
| Returns the exact number of top blobs required by the layer, or -1 if no exact number is required. More... | |
| virtual void | AddDatumVector (const vector< Datum > &datum_vector) |
| void | Reset (Dtype *data, Dtype *label, int n) |
| void | set_batch_size (int new_size) |
| int | batch_size () |
| int | channels () |
| int | height () |
| int | width () |
 Public Member Functions inherited from caffe::BaseDataLayer< Dtype > | |
| BaseDataLayer (const LayerParameter ¶m) | |
| virtual void | LayerSetUp (const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top) |
| Does layer-specific setup: your layer should implement this function as well as Reshape. More... | |
| virtual void | Reshape (const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top) |
| Adjust the shapes of top blobs and internal buffers to accommodate the shapes of the bottom blobs. More... | |
| virtual void | Backward_cpu (const vector< Blob< Dtype > *> &top, const vector< bool > &propagate_down, const vector< Blob< Dtype > *> &bottom) |
| Using the CPU device, compute the gradients for any parameters and for the bottom blobs if propagate_down is true. | |
| virtual void | Backward_gpu (const vector< Blob< Dtype > *> &top, const vector< bool > &propagate_down, const vector< Blob< Dtype > *> &bottom) |
| Using the GPU device, compute the gradients for any parameters and for the bottom blobs if propagate_down is true. Fall back to Backward_cpu() if unavailable. | |
| Public Member Functions inherited from caffe::Layer< Dtype > | |
| Layer (const LayerParameter ¶m) | |
| void | SetUp (const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top) |
| Implements common layer setup functionality. More... | |
| Dtype | Forward (const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top) |
| Given the bottom blobs, compute the top blobs and the loss. More... | |
| void | Backward (const vector< Blob< Dtype > *> &top, const vector< bool > &propagate_down, const vector< Blob< Dtype > *> &bottom) |
| Given the top blob error gradients, compute the bottom blob error gradients. More... | |
| vector< shared_ptr< Blob< Dtype > > > & | blobs () |
| Returns the vector of learnable parameter blobs. | |
| const LayerParameter & | layer_param () const |
| Returns the layer parameter. | |
| virtual void | ToProto (LayerParameter *param, bool write_diff=false) |
| Writes the layer parameter to a protocol buffer. | |
| Dtype | loss (const int top_index) const |
| Returns the scalar loss associated with a top blob at a given index. | |
| void | set_loss (const int top_index, const Dtype value) |
| Sets the loss associated with a top blob at a given index. | |
| virtual int | MinBottomBlobs () const |
| Returns the minimum number of bottom blobs required by the layer, or -1 if no minimum number is required. More... | |
| virtual int | MaxBottomBlobs () const |
| Returns the maximum number of bottom blobs required by the layer, or -1 if no maximum number is required. More... | |
| virtual int | MinTopBlobs () const |
| Returns the minimum number of top blobs required by the layer, or -1 if no minimum number is required. More... | |
| virtual int | MaxTopBlobs () const |
| Returns the maximum number of top blobs required by the layer, or -1 if no maximum number is required. More... | |
| virtual bool | EqualNumBottomTopBlobs () const |
| Returns true if the layer requires an equal number of bottom and top blobs. More... | |
| virtual bool | AutoTopBlobs () const |
| Return whether "anonymous" top blobs are created automatically by the layer. More... | |
| virtual bool | AllowForceBackward (const int bottom_index) const |
| Return whether to allow force_backward for a given bottom blob index. More... | |
| bool | param_propagate_down (const int param_id) |
| Specifies whether the layer should compute gradients w.r.t. a parameter at a particular index given by param_id. More... | |
| void | set_param_propagate_down (const int param_id, const bool value) |
| Sets whether the layer should compute gradients w.r.t. a parameter at a particular index given by param_id. | |
Protected Member Functions | |
| virtual void | Forward_cpu (const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top) |
| Using the CPU device, compute the layer output. | |
| Protected Member Functions inherited from caffe::Layer< Dtype > | |
| virtual void | Forward_gpu (const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top) |
| Using the GPU device, compute the layer output. Fall back to Forward_cpu() if unavailable. | |
| virtual void | CheckBlobCounts (const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top) |
| void | SetLossWeights (const vector< Blob< Dtype > *> &top) |
Protected Attributes | |
| int | batch_size_ |
| int | channels_ |
| int | height_ |
| int | width_ |
| int | size_ |
| Dtype * | data_ |
| Dtype * | labels_ |
| int | n_ |
| size_t | pos_ |
| Blob< Dtype > | added_data_ |
| Blob< Dtype > | added_label_ |
| bool | has_new_data_ |
| Protected Attributes inherited from caffe::BaseDataLayer< Dtype > | |
| TransformationParameter | transform_param_ |
| shared_ptr< DataTransformer< Dtype > > | data_transformer_ |
| bool | output_labels_ |
| Protected Attributes inherited from caffe::Layer< Dtype > | |
| LayerParameter | layer_param_ |
| Phase | phase_ |
| vector< shared_ptr< Blob< Dtype > > > | blobs_ |
| vector< bool > | param_propagate_down_ |
| vector< Dtype > | loss_ |
Detailed Description
template<typename Dtype>
class caffe::MemoryDataLayer< Dtype >
Provides data to the Net from memory.
TODO(dox): thorough documentation for Forward and proto params.
Member Function Documentation
◆ ExactNumBottomBlobs()
template<typename Dtype >
|
inlinevirtual |
Returns the exact number of bottom blobs required by the layer, or -1 if no exact number is required.
This method should be overridden to return a non-negative value if your layer expects some exact number of bottom blobs.
Reimplemented from caffe::Layer< Dtype >.
◆ ExactNumTopBlobs()
template<typename Dtype >
|
inlinevirtual |
Returns the exact number of top blobs required by the layer, or -1 if no exact number is required.
This method should be overridden to return a non-negative value if your layer expects some exact number of top blobs.
Reimplemented from caffe::Layer< Dtype >.
The documentation for this class was generated from the following files:
- include/caffe/layers/memory_data_layer.hpp
- src/caffe/layers/memory_data_layer.cpp
