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Functions170 in github.com/ethereon/caffe-tensorflow

⨍ Functions 170◇ Types & classes 94
↓ 404 callersMethodconv
(self, input, k_h, k_w, c_o, s_h,
kaffe/tensorflow/network.py:105
↓ 312 callersMethodbatch_normalization
(self, input, name, scale_offset=True, relu=False)
kaffe/tensorflow/network.py:218
↓ 156 callersMethodfeed
Set the input(s) for the next operation by replacing the terminal nodes. The arguments can be either layer names or the actual layers.
kaffe/tensorflow/network.py:70
↓ 102 callersMethodadd
(self, inputs, name)
kaffe/tensorflow/network.py:183
↓ 101 callersMethodrelu
(self, input, name)
kaffe/tensorflow/network.py:148
↓ 30 callersMethodmax_pool
(self, input, k_h, k_w, s_h, s_w, name, padding=DEFAULT_PADDING)
kaffe/tensorflow/network.py:152
↓ 16 callersMethodformat
Returns a string representation for the given value.
kaffe/tensorflow/transformer.py:45
↓ 13 callersMethodfc
(self, input, num_out, name, relu=True)
kaffe/tensorflow/network.py:187
↓ 10 callersMethodconcat
(self, inputs, axis, name)
kaffe/tensorflow/network.py:179
↓ 9 callersFunctionprint_stderr
(msg)
kaffe/errors.py:6
↓ 9 callersMethodsoftmax
(self, input, name)
kaffe/tensorflow/network.py:205
↓ 8 callersMethodmake_var
Creates a new TensorFlow variable.
kaffe/tensorflow/network.py:96
↓ 7 callersMethodget_only_parent
(self)
kaffe/graph.py:32
↓ 6 callersMethodget_kernel_value
(scalar, repeated, idx, default=None)
kaffe/layers.py:117
↓ 6 callersMethodlrn
(self, input, radius, alpha, beta, name, bias=1.0)
kaffe/tensorflow/network.py:170
↓ 6 callersFunctionstd_spec
Parameters commonly used by "post-AlexNet" architectures.
examples/imagenet/models/helper.py:51
↓ 5 callersMethodavg_pool
(self, input, k_h, k_w, s_h, s_w, name, padding=DEFAULT_PADDING)
kaffe/tensorflow/network.py:161
↓ 5 callersMethodstatement
(self, s)
kaffe/tensorflow/transformer.py:177
↓ 4 callersFunctionfatal_error
(msg)
convert.py:11
↓ 4 callersMethodget
Get a single batch of images along with their indices. If a set of labels were provided, the corresponding labels are returned instea
examples/imagenet/dataset.py:102
↓ 4 callersFunctionget_caffe_resolver
()
kaffe/caffe/resolver.py:29
↓ 4 callersMethodload
Load the layer definitions from the prototxt.
kaffe/graph.py:142
↓ 3 callersMethodget_node
(self, name)
kaffe/graph.py:62
↓ 3 callersMethodtopologically_sorted
(self)
kaffe/graph.py:74
↓ 3 callersMethodvalidate_padding
Verifies that the padding is one of the supported ones.
kaffe/tensorflow/network.py:100
↓ 2 callersFunctionalexnet_spec
Parameters used by AlexNet and its variants.
examples/imagenet/models/helper.py:46
↓ 2 callersMethodget_handler_name
(node_kind)
kaffe/layers.py:83
↓ 2 callersMethodget_kernel_params
(self, node)
kaffe/tensorflow/transformer.py:80
↓ 2 callersMethodget_output
Returns the current network output.
kaffe/tensorflow/network.py:85
↓ 2 callersFunctionget_strided_kernel_output_shape
(node, round_func)
kaffe/shapes.py:15
↓ 2 callersMethodindent
(self)
kaffe/tensorflow/transformer.py:171
↓ 2 callersMethodmap
(self, node_kind)
kaffe/transformers.py:111
↓ 2 callersMethodpair
Returns key=formatted(value).
kaffe/tensorflow/transformer.py:49
↓ 2 callersMethodstart
Start the processing worker threads.
examples/imagenet/dataset.py:93
↓ 2 callersMethodtransformed
(self, transformers)
kaffe/graph.py:104
↓ 1 callersMethod__init__
(self, image_paths, data_spec, num_concurrent=4, batch_size=None, labels=None)
examples/imagenet/dataset.py:38
↓ 1 callersMethodadd_child
(self, child_node)
kaffe/graph.py:26
↓ 1 callersMethodadd_parent
(self, parent_node)
kaffe/graph.py:20
↓ 1 callersMethodadjust_parameters
(self, node, data)
kaffe/transformers.py:66
↓ 1 callersMethodbatches
Yield a batch until no more images are left.
examples/imagenet/dataset.py:113
↓ 1 callersMethodbuild
Builds the graph from the Caffe layer definitions.
kaffe/graph.py:202
↓ 1 callersFunctionclassify
Classify the given images using GoogleNet.
examples/imagenet/classify.py:28
↓ 1 callersMethodcommit
(self, mapped_chains)
kaffe/graph.py:301
↓ 1 callersMethodcompute_output_shape
(node)
kaffe/layers.py:67
↓ 1 callersMethodcompute_output_shapes
(self)
kaffe/graph.py:96
↓ 1 callersFunctionconvert
(def_path, caffemodel_path, data_output_path, code_output_path, phase)
convert.py:25
↓ 1 callersMethodcreate_extension_mask
(paths)
examples/imagenet/dataset.py:147
↓ 1 callersFunctiondisplay_results
Displays the classification results given the class probability for each image
examples/imagenet/classify.py:11
↓ 1 callersMethodemit
Emits the Python source for this node.
kaffe/tensorflow/transformer.py:53
↓ 1 callersMethodemit
(self, name, chains)
kaffe/tensorflow/transformer.py:199
↓ 1 callersMethodemit_class_def
(self, name)
kaffe/tensorflow/transformer.py:183
↓ 1 callersMethodemit_imports
(self)
kaffe/tensorflow/transformer.py:180
↓ 1 callersMethodemit_node
(self, node)
kaffe/tensorflow/transformer.py:196
↓ 1 callersMethodemit_parents
(self, chain)
kaffe/tensorflow/transformer.py:189
↓ 1 callersMethodemit_setup_def
(self)
kaffe/tensorflow/transformer.py:186
↓ 1 callersMethodfilter_layers
Filter out layers based on the current phase.
kaffe/graph.py:148
↓ 1 callersFunctiongen_data
(source)
examples/mnist/finetune_mnist.py:12
↓ 1 callersFunctiongen_data_batch
(source)
examples/mnist/finetune_mnist.py:21
↓ 1 callersFunctionget_filter_output_shape
(i_h, i_w, params, round_func)
kaffe/shapes.py:9
↓ 1 callersMethodget_handler
(self, node_kind, prefix)
kaffe/layers.py:91
↓ 1 callersMethodget_input_nodes
(self)
kaffe/graph.py:68
↓ 1 callersFunctionget_padding_type
Translates Caffe's numeric padding to one of ('SAME', 'VALID'). Caffe supports arbitrary padding values, while TensorFlow only supports 'SAME'
kaffe/tensorflow/transformer.py:12
↓ 1 callersMethodget_unique_name
Returns an index-suffixed unique name for the given prefix. This is used for auto-generating layer names based on the type-prefix.
kaffe/tensorflow/network.py:89
↓ 1 callersFunctionhas_pycaffe
()
kaffe/caffe/resolver.py:35
↓ 1 callersMethodhas_pycaffe
(self)
kaffe/caffe/resolver.py:26
↓ 1 callersMethodhas_spatial_parent
(self, node)
kaffe/transformers.py:103
↓ 1 callersMethodimport_caffe
(self)
kaffe/caffe/resolver.py:9
↓ 1 callersMethodis_eligible_pair
Returns true if this parent/child pair is eligible for fusion.
kaffe/transformers.py:182
↓ 1 callersMethodload
(self)
kaffe/transformers.py:31
↓ 1 callersMethodload
(self, def_path, data_path, phase)
kaffe/tensorflow/transformer.py:225
↓ 1 callersMethodload_image
(self, image_path, is_jpeg)
examples/imagenet/dataset.py:118
↓ 1 callersFunctionload_model
Creates and returns an instance of the model given its class name. The created model has a single placeholder node for feeding images.
examples/imagenet/validate.py:13
↓ 1 callersMethodload_using_caffe
(self)
kaffe/transformers.py:37
↓ 1 callersMethodload_using_pb
(self)
kaffe/transformers.py:43
↓ 1 callersFunctionmain
()
convert.py:43
↓ 1 callersFunctionmain
()
examples/imagenet/validate.py:77
↓ 1 callersFunctionmain
()
examples/imagenet/classify.py:66
↓ 1 callersMethodmake_input_nodes
Create data input nodes. This method is for old-style inputs, where the input specification was not treated as a first-class
kaffe/graph.py:182
↓ 1 callersMethodmake_node
Create a graph node for the given layer.
kaffe/graph.py:172
↓ 1 callersMethodmap
(self)
kaffe/graph.py:264
↓ 1 callersMethodmap_chain
(self, chain)
kaffe/graph.py:291
↓ 1 callersMethodmap_node
(self, node)
kaffe/graph.py:294
↓ 1 callersMethodmap_raw_kind
(kind)
kaffe/layers.py:61
↓ 1 callersMethodmerge
Merge the child node into the parent.
kaffe/transformers.py:186
↓ 1 callersMethodnormalize_pb_data
(self, layer)
kaffe/transformers.py:51
↓ 1 callersMethodprocess
(self)
examples/imagenet/dataset.py:132
↓ 1 callersFunctionprocess_image
Crops, scales, and normalizes the given image. scale : The image wil be first scaled to this size. If isotropic is true, the smaller s
examples/imagenet/dataset.py:8
↓ 1 callersMethodreplaced
(self, new_nodes)
kaffe/graph.py:101
↓ 1 callersMethodsetup
(self, batch_size, num_concurrent)
examples/imagenet/dataset.py:50
↓ 1 callersMethodsetup
Construct the network.
kaffe/tensorflow/network.py:49
↓ 1 callersFunctionshow_fallback_warning
()
kaffe/caffe/resolver.py:38
↓ 1 callersMethodtransform_data
(self)
kaffe/tensorflow/transformer.py:256
↓ 1 callersMethodtransform_source
(self)
kaffe/tensorflow/transformer.py:279
↓ 1 callersFunctionvalidate
Compute the top_k classification accuracy for the given network and images.
examples/imagenet/validate.py:37
↓ 1 callersFunctionvalidate_arguments
(args)
convert.py:16
Method__call__
(self, graph)
kaffe/transformers.py:82
Method__call__
(self, graph)
kaffe/transformers.py:117
Method__call__
(self, graph)
kaffe/transformers.py:156
Method__call__
(self, graph)
kaffe/transformers.py:233
Method__call__
(self, graph)
kaffe/transformers.py:262
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