Caffe2 - Python API
A deep learning, cross platform ML framework
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- c -
cdf() :
torch.distributions.distribution.Distribution
,
torch.distributions.transformed_distribution.TransformedDistribution
char() :
torch.storage._StorageBase
check() :
torch.distributions.constraints.Constraint
check_limiter_condition() :
caffe2.python.dataio.ReaderWithLimitBase
checkAlmostEqual() :
verify.Errors
checkEqual() :
verify.Errors
CheckGradientOperatorInput() :
caffe2.python.core.IR
CheckNet() :
caffe2.python.device_checker.DeviceChecker
checkScriptRaisesRegex() :
test_jit.TestScript
CheckSimple() :
caffe2.python.device_checker.DeviceChecker
,
caffe2.python.gradient_checker.GradientChecker
clear() :
torch.nn.modules.container.ModuleDict
,
torch.nn.modules.container.ParameterDict
Clone() :
caffe2.python.core.Net
clone() :
caffe2.python.schema.Field
,
torch.storage._StorageBase
ClonePartial() :
caffe2.python.core.Net
collect_checkpoint_stats() :
caffe2.python.checkpoint.CheckpointManager
commit() :
caffe2.python.dataio.Writer
,
caffe2.python.dataset._DatasetWriter
Condition() :
caffe2.python.net_builder.Operations
content() :
caffe2.python.dataset.Dataset
cp_accessible() :
caffe2.python.checkpoint.CheckpointManager
,
caffe2.python.checkpoint.MultiNodeCheckpointManager
cpu() :
torch.nn.utils.rnn.PackedSequence
,
torch.storage._StorageBase
create_from_proto() :
caffe2.python.core.ExecutionStep
create_param() :
caffe2.python.model_helper.ModelHelper
cuda() :
torch.nn.utils.rnn.PackedSequence
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