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Functions5,531 in github.com/apache/singa

MethodAdvance
Advance should not be called on beyond-of-range iterators so no component iterators must be beyond end of range, either.
test/gtest/gtest.h:14222
MethodAdvance
Advance should not be called on beyond-of-range iterators so no component iterators must be beyond end of range, either.
test/gtest/gtest.h:14395
MethodAdvance
Advance should not be called on beyond-of-range iterators so no component iterators must be beyond end of range, either.
test/gtest/gtest.h:14585
MethodAdvance
Advance should not be called on beyond-of-range iterators so no component iterators must be beyond end of range, either.
test/gtest/gtest.h:14794
MethodAdvance
Advance should not be called on beyond-of-range iterators so no component iterators must be beyond end of range, either.
test/gtest/gtest.h:15019
MethodAdvance
Advance should not be called on beyond-of-range iterators so no component iterators must be beyond end of range, either.
test/gtest/gtest.h:15262
FunctionAmax
src/core/tensor/tensor_math.h:377
FunctionAmin
src/core/tensor/tensor_math.h:383
MethodAnalyze
src/core/scheduler/scheduler.cc:559
MethodAnalyzeEdges
src/core/scheduler/scheduler.cc:671
MethodAnalyzeNodes
src/core/scheduler/scheduler.cc:579
MethodAnsiToUtf16
Creates a UTF-16 wide string from the given ANSI string, allocating memory using new. The caller is responsible for deleting the return value using de
test/gtest/gtest-all.cc:2324
MethodApply
src/model/updater/local_updater.cc:39
MethodApply
src/model/updater/updater.cc:29
MethodApply
history = history * rho + grad * grad * (1 - rho) value = value - lr * grad / sqrt(history + delta)
src/model/optimizer/rmsprop.cc:31
MethodApply
tmp = history; history = lr * grad + history * mom tmp = (1+mom) * history - tmp * mom; value = value - tmp;
src/model/optimizer/nesterov.cc:33
MethodApply
history += grad*grad; value = value - lr*grad/sqrt(history+delta)
src/model/optimizer/adagrad.cc:28
MethodApply
src/io/image_transformer.cc:29
MethodApplyRegularizerConstraint
src/model/optimizer/optimizer.cc:63
MethodArguments
test/gtest/gtest-all.cc:7383
FunctionArrayAwareFind
test/gtest/gtest.h:7872
MethodAsType
Set the data type of Tensor in this layer.
include/singa/model/layer.h:163
MethodAssertHeld
Does nothing if the current thread holds the mutex. Otherwise, crashes with high probability.
test/gtest/gtest.h:2464
MethodAssertHeld
test/gtest/gtest.h:2657
MethodAssertHelper
AssertHelper constructor.
test/gtest/gtest-all.cc:1831
MethodAssertHelperData
test/gtest/gtest.h:19155
FunctionAssertPred1Helper
test/gtest/gtest.h:19428
FunctionAssertPred2Helper
test/gtest/gtest.h:19470
FunctionAssertPred3Helper
test/gtest/gtest.h:19519
FunctionAssertPred4Helper
test/gtest/gtest.h:19575
FunctionAssertPred5Helper
test/gtest/gtest.h:19638
MethodAssertionResult
AssertionResult constructors. Used in EXPECT_TRUE/FALSE(assertion_result).
test/gtest/gtest-all.cc:2436
MethodAssumeRole
The AssumeRole process for a Windows death test. It creates a child process with the same executable as the current process to run the death test. T
test/gtest/gtest-all.cc:7178
FunctionAsum
src/core/tensor/tensor_math.h:388
MethodAsyncDecodeTransform
examples/cpp/imagenet/ilsvrc12.h:344
MethodAtEnd
test/gtest/gtest.h:13985
MethodAtEnd
test/gtest/gtest.h:14131
MethodAtEnd
test/gtest/gtest.h:14293
MethodAtEnd
test/gtest/gtest.h:14474
MethodAtEnd
test/gtest/gtest.h:14672
MethodAtEnd
test/gtest/gtest.h:14889
MethodAtEnd
test/gtest/gtest.h:15123
MethodAtEnd
test/gtest/gtest.h:15374
MethodAutoHandle
test/gtest/gtest-all.cc:1376
FunctionAxpy
src/core/tensor/tensor_math.h:394
MethodBackward
src/model/layer/rnn.cc:91
MethodBackward
src/model/layer/cudnn_lrn.cc:85
MethodBackward
src/model/layer/softmax.cc:40
MethodBackward
src/model/layer/cudnn_convolution.cc:214
MethodBackward
TODO(wangwei) check Tensor device to be on cuda?
src/model/layer/cudnn_rnn.cc:368
MethodBackward
src/model/layer/flatten.cc:49
MethodBackward
src/model/layer/cudnn_batchnorm.cc:143
MethodBackward
src/model/layer/cudnn_dropout.cc:100
MethodBackward
src/model/layer/cudnn_activation.cc:96
MethodBackward
src/model/layer/cudnn_pooling.cc:115
MethodBackward
\copydoc Layer::Backward(int, const Tensor&, const Tensor&);
src/model/layer/convolution.cc:139
MethodBackward
src/model/layer/prelu.cc:80
MethodBackward
\copydoc Layer::Backward(int, const Tensor&, const Tensor&);
src/model/layer/dense.cc:69
MethodBackward
src/model/layer/batchnorm.cc:158
MethodBackward
src/model/layer/cudnn_softmax.cc:93
MethodBackward
src/model/layer/split.cc:43
MethodBackward
src/model/layer/dropout.cc:47
MethodBackward
src/model/layer/lrn.cc:80
MethodBackward
src/model/layer/concat.cc:73
MethodBackward
src/model/layer/opencl_pooling.cc:75
MethodBackward
\copydoc Layer::Backward(int, const Tensor&, const Tensor&);
src/model/layer/opencl_convolution.cc:79
MethodBackward
src/model/layer/slice.cc:70
MethodBackward
src/model/layer/pooling.cc:125
MethodBackward
src/model/layer/merge.cc:54
MethodBackward
src/model/layer/activation.cc:69
MethodBackward
src/model/loss/softmax_cross_entropy.cc:48
MethodBackward
Compute gradients of this layer. Specifically, there are two types of gradients: 1. gradient of the preceding layer, i.e., dx. 2. gradients of paramet
include/singa/model/layer.h:132
MethodBackwardAvgPooling
src/model/layer/pooling.cc:280
MethodBackwardMaxPooling
src/model/layer/pooling.cc:208
MethodBaseGenerator
test/gtest/gtest.h:10291
MethodBaseGenerator
test/gtest/gtest.h:13807
MethodBaseGenerator
test/gtest/gtest.h:13926
MethodBaseGenerator
test/gtest/gtest.h:14063
MethodBaseGenerator
test/gtest/gtest.h:14217
MethodBaseGenerator
test/gtest/gtest.h:14390
MethodBaseGenerator
test/gtest/gtest.h:14580
MethodBaseGenerator
test/gtest/gtest.h:14789
MethodBaseGenerator
test/gtest/gtest.h:15014
MethodBaseGenerator
test/gtest/gtest.h:15257
MethodBegin
test/gtest/gtest.h:10274
MethodBegin
test/gtest/gtest.h:13785
MethodBegin
test/gtest/gtest.h:13900
MethodBegin
test/gtest/gtest.h:14033
MethodBegin
test/gtest/gtest.h:14184
MethodBegin
test/gtest/gtest.h:14354
MethodBegin
test/gtest/gtest.h:14540
MethodBegin
test/gtest/gtest.h:14745
MethodBegin
test/gtest/gtest.h:14967
MethodBegin
test/gtest/gtest.h:15207
FunctionBernoulli
src/core/tensor/tensor_math.h:355
MethodBlkInfo
include/singa/core/scheduler.h:119
MethodBlock
include/singa/core/common.h:66
FunctionBool
Bool() allows generating tests with parameters in a set of (false, true). Synopsis: Bool() - returns a generator producing sequences with elements {f
test/gtest/gtest.h:16786
MethodBuildPrograms
src/core/device/opencl_device.cc:94
MethodCBData
include/singa/core/scheduler.h:148
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