1100 lines
37 KiB
Plaintext
1100 lines
37 KiB
Plaintext
path: "tensorflow"
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tf_module {
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member {
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name: "AggregationMethod"
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mtype: "<type \'type\'>"
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}
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member {
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name: "CriticalSection"
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mtype: "<type \'type\'>"
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}
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member {
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name: "DType"
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mtype: "<type \'type\'>"
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}
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member {
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name: "GradientTape"
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mtype: "<type \'type\'>"
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}
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member {
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name: "Graph"
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mtype: "<type \'type\'>"
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}
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member {
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name: "IndexedSlices"
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mtype: "<type \'type\'>"
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}
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member {
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name: "Module"
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mtype: "<type \'type\'>"
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}
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member {
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name: "Operation"
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mtype: "<type \'type\'>"
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}
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member {
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name: "RaggedTensor"
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mtype: "<type \'type\'>"
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}
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member {
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name: "RegisterGradient"
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mtype: "<type \'type\'>"
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}
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member {
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name: "SparseTensor"
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mtype: "<type \'type\'>"
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}
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member {
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name: "Tensor"
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mtype: "<type \'type\'>"
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}
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member {
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name: "TensorArray"
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mtype: "<type \'type\'>"
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}
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member {
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name: "TensorShape"
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mtype: "<type \'type\'>"
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}
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member {
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name: "TensorSpec"
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mtype: "<type \'type\'>"
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}
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member {
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name: "UnconnectedGradients"
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mtype: "<class \'enum.EnumMeta\'>"
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}
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member {
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name: "Variable"
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mtype: "<class \'tensorflow.python.ops.variables.VariableMetaclass\'>"
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}
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member {
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name: "VariableAggregation"
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mtype: "<class \'enum.EnumMeta\'>"
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}
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member {
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name: "VariableSynchronization"
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mtype: "<class \'enum.EnumMeta\'>"
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}
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member {
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name: "audio"
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mtype: "<type \'module\'>"
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}
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member {
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name: "autograph"
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mtype: "<type \'module\'>"
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}
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member {
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name: "bfloat16"
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mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
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}
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member {
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name: "bitwise"
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mtype: "<type \'module\'>"
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}
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member {
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name: "bool"
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mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
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}
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member {
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name: "compat"
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mtype: "<type \'module\'>"
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}
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member {
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name: "complex128"
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mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
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}
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member {
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name: "complex64"
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mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
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}
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member {
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name: "config"
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mtype: "<type \'module\'>"
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}
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member {
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name: "constant_initializer"
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mtype: "<type \'type\'>"
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}
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member {
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name: "data"
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mtype: "<type \'module\'>"
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}
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member {
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name: "debugging"
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mtype: "<type \'module\'>"
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}
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member {
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name: "distribute"
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mtype: "<type \'module\'>"
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}
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member {
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name: "double"
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mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
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}
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member {
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name: "dtypes"
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mtype: "<type \'module\'>"
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}
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member {
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name: "errors"
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mtype: "<type \'module\'>"
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}
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member {
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name: "estimator"
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mtype: "<type \'module\'>"
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}
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member {
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name: "experimental"
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}
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member {
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name: "feature_column"
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mtype: "<type \'module\'>"
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}
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member {
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name: "float16"
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mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
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}
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member {
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name: "float32"
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mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
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}
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member {
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name: "float64"
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mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
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}
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member {
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name: "graph_util"
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mtype: "<type \'module\'>"
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}
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member {
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name: "half"
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mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
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}
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member {
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name: "image"
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mtype: "<type \'module\'>"
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}
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member {
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name: "initializers"
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mtype: "<type \'module\'>"
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}
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member {
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name: "int16"
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mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
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}
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member {
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name: "int32"
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mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
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}
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member {
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name: "int64"
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mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
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}
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member {
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name: "int8"
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mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
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}
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member {
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name: "io"
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mtype: "<type \'module\'>"
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}
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member {
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name: "keras"
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mtype: "<type \'module\'>"
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}
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member {
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name: "linalg"
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mtype: "<type \'module\'>"
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}
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member {
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name: "lite"
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mtype: "<type \'module\'>"
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}
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member {
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name: "lookup"
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mtype: "<type \'module\'>"
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}
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member {
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name: "losses"
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mtype: "<type \'module\'>"
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}
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member {
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name: "math"
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mtype: "<type \'module\'>"
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}
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member {
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name: "metrics"
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mtype: "<type \'module\'>"
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}
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member {
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name: "name_scope"
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mtype: "<type \'type\'>"
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}
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member {
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name: "nest"
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mtype: "<type \'module\'>"
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}
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member {
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name: "newaxis"
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mtype: "<type \'NoneType\'>"
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}
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member {
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name: "nn"
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mtype: "<type \'module\'>"
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}
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member {
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name: "ones_initializer"
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mtype: "<type \'type\'>"
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}
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member {
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name: "optimizers"
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mtype: "<type \'module\'>"
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}
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member {
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name: "qint16"
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mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
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}
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member {
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name: "qint32"
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mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
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}
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member {
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name: "qint8"
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mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
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member {
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name: "quantization"
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member {
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name: "queue"
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member {
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name: "quint16"
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mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
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}
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member {
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name: "quint8"
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mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
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}
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member {
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name: "ragged"
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}
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member {
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name: "random"
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mtype: "<type \'module\'>"
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member {
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name: "random_normal_initializer"
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member {
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name: "random_uniform_initializer"
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member {
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name: "raw_ops"
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member {
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name: "resource"
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member {
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name: "saved_model"
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member {
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name: "sets"
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member {
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name: "signal"
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member {
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name: "sparse"
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name: "string"
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member {
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name: "strings"
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member {
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name: "summary"
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member {
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name: "sysconfig"
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member {
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name: "test"
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member {
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name: "tpu"
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name: "uint16"
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member {
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member {
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member {
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member {
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member {
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name: "zeros_initializer"
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member_method {
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name: "Assert"
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member_method {
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member_method {
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name: "acos"
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member_method {
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member_method {
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name: "argmax"
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member_method {
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name: "argmin"
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member_method {
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member_method {
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member_method {
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name: "clip_by_value"
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member_method {
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name: "combined_non_max_suppression"
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|
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member_method {
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name: "complex"
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member_method {
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name: "concat"
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member_method {
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name: "cond"
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member_method {
|
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name: "constant"
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}
|
|
member_method {
|
|
name: "control_dependencies"
|
|
argspec: "args=[\'control_inputs\'], varargs=None, keywords=None, defaults=None"
|
|
}
|
|
member_method {
|
|
name: "convert_to_tensor"
|
|
argspec: "args=[\'value\', \'dtype\', \'dtype_hint\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "cos"
|
|
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "cosh"
|
|
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "cudnn_rnn_canonical_to_params_v2"
|
|
argspec: "args=[\'num_layers\', \'num_units\', \'input_size\', \'weights\', \'biases\', \'rnn_mode\', \'input_mode\', \'direction\', \'dropout\', \'seed\', \'seed2\', \'num_proj\', \'name\'], varargs=None, keywords=None, defaults=[\'lstm\', \'linear_input\', \'unidirectional\', \'0\', \'0\', \'0\', \'0\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "cudnn_rnn_params_to_canonical_v2"
|
|
argspec: "args=[\'num_layers\', \'num_units\', \'input_size\', \'params\', \'num_params_weights\', \'num_params_biases\', \'rnn_mode\', \'input_mode\', \'direction\', \'dropout\', \'seed\', \'seed2\', \'num_proj\', \'name\'], varargs=None, keywords=None, defaults=[\'lstm\', \'linear_input\', \'unidirectional\', \'0\', \'0\', \'0\', \'0\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "cumsum"
|
|
argspec: "args=[\'x\', \'axis\', \'exclusive\', \'reverse\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'False\', \'False\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "custom_gradient"
|
|
argspec: "args=[\'f\'], varargs=None, keywords=None, defaults=None"
|
|
}
|
|
member_method {
|
|
name: "device"
|
|
argspec: "args=[\'device_name\'], varargs=None, keywords=None, defaults=None"
|
|
}
|
|
member_method {
|
|
name: "divide"
|
|
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "dynamic_partition"
|
|
argspec: "args=[\'data\', \'partitions\', \'num_partitions\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "dynamic_stitch"
|
|
argspec: "args=[\'indices\', \'data\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "edit_distance"
|
|
argspec: "args=[\'hypothesis\', \'truth\', \'normalize\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'edit_distance\'], "
|
|
}
|
|
member_method {
|
|
name: "einsum"
|
|
argspec: "args=[\'equation\'], varargs=inputs, keywords=kwargs, defaults=None"
|
|
}
|
|
member_method {
|
|
name: "ensure_shape"
|
|
argspec: "args=[\'x\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "equal"
|
|
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "executing_eagerly"
|
|
argspec: "args=[], varargs=None, keywords=None, defaults=None"
|
|
}
|
|
member_method {
|
|
name: "exp"
|
|
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "expand_dims"
|
|
argspec: "args=[\'input\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "extract_volume_patches"
|
|
argspec: "args=[\'input\', \'ksizes\', \'strides\', \'padding\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "eye"
|
|
argspec: "args=[\'num_rows\', \'num_columns\', \'batch_shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \"<dtype: \'float32\'>\", \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "fill"
|
|
argspec: "args=[\'dims\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "floor"
|
|
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "floor_div"
|
|
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "floormod"
|
|
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "foldl"
|
|
argspec: "args=[\'fn\', \'elems\', \'initializer\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\', \'False\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "foldr"
|
|
argspec: "args=[\'fn\', \'elems\', \'initializer\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\', \'False\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "function"
|
|
argspec: "args=[\'func\', \'input_signature\', \'autograph\', \'experimental_autograph_options\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "gather"
|
|
argspec: "args=[\'params\', \'indices\', \'validate_indices\', \'axis\', \'batch_dims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'0\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "gather_nd"
|
|
argspec: "args=[\'params\', \'indices\', \'batch_dims\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "get_logger"
|
|
argspec: "args=[], varargs=None, keywords=None, defaults=None"
|
|
}
|
|
member_method {
|
|
name: "get_static_value"
|
|
argspec: "args=[\'tensor\', \'partial\'], varargs=None, keywords=None, defaults=[\'False\'], "
|
|
}
|
|
member_method {
|
|
name: "gradients"
|
|
argspec: "args=[\'ys\', \'xs\', \'grad_ys\', \'name\', \'gate_gradients\', \'aggregation_method\', \'stop_gradients\', \'unconnected_gradients\'], varargs=None, keywords=None, defaults=[\'None\', \'gradients\', \'False\', \'None\', \'None\', \'UnconnectedGradients.NONE\'], "
|
|
}
|
|
member_method {
|
|
name: "greater"
|
|
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "greater_equal"
|
|
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "group"
|
|
argspec: "args=[], varargs=inputs, keywords=kwargs, defaults=None"
|
|
}
|
|
member_method {
|
|
name: "guarantee_const"
|
|
argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "hessians"
|
|
argspec: "args=[\'ys\', \'xs\', \'gate_gradients\', \'aggregation_method\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\', \'hessians\'], "
|
|
}
|
|
member_method {
|
|
name: "histogram_fixed_width"
|
|
argspec: "args=[\'values\', \'value_range\', \'nbins\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'100\', \"<dtype: \'int32\'>\", \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "histogram_fixed_width_bins"
|
|
argspec: "args=[\'values\', \'value_range\', \'nbins\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'100\', \"<dtype: \'int32\'>\", \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "identity"
|
|
argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "identity_n"
|
|
argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "import_graph_def"
|
|
argspec: "args=[\'graph_def\', \'input_map\', \'return_elements\', \'name\', \'op_dict\', \'producer_op_list\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "init_scope"
|
|
argspec: "args=[], varargs=None, keywords=None, defaults=None"
|
|
}
|
|
member_method {
|
|
name: "is_tensor"
|
|
argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
|
|
}
|
|
member_method {
|
|
name: "less"
|
|
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "less_equal"
|
|
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "linspace"
|
|
argspec: "args=[\'start\', \'stop\', \'num\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "load_library"
|
|
argspec: "args=[\'library_location\'], varargs=None, keywords=None, defaults=None"
|
|
}
|
|
member_method {
|
|
name: "load_op_library"
|
|
argspec: "args=[\'library_filename\'], varargs=None, keywords=None, defaults=None"
|
|
}
|
|
member_method {
|
|
name: "logical_and"
|
|
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "logical_not"
|
|
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "logical_or"
|
|
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "make_ndarray"
|
|
argspec: "args=[\'tensor\'], varargs=None, keywords=None, defaults=None"
|
|
}
|
|
member_method {
|
|
name: "map_fn"
|
|
argspec: "args=[\'fn\', \'elems\', \'dtype\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'infer_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\', \'False\', \'True\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "matmul"
|
|
argspec: "args=[\'a\', \'b\', \'transpose_a\', \'transpose_b\', \'adjoint_a\', \'adjoint_b\', \'a_is_sparse\', \'b_is_sparse\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'False\', \'False\', \'False\', \'False\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "matrix_square_root"
|
|
argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "maximum"
|
|
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "meshgrid"
|
|
argspec: "args=[], varargs=args, keywords=kwargs, defaults=None"
|
|
}
|
|
member_method {
|
|
name: "minimum"
|
|
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "mod"
|
|
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "multiply"
|
|
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "negative"
|
|
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "no_gradient"
|
|
argspec: "args=[\'op_type\'], varargs=None, keywords=None, defaults=None"
|
|
}
|
|
member_method {
|
|
name: "no_op"
|
|
argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "no_regularizer"
|
|
argspec: "args=[\'_\'], varargs=None, keywords=None, defaults=None"
|
|
}
|
|
member_method {
|
|
name: "nondifferentiable_batch_function"
|
|
argspec: "args=[\'num_batch_threads\', \'max_batch_size\', \'batch_timeout_micros\', \'allowed_batch_sizes\', \'max_enqueued_batches\', \'autograph\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\'], "
|
|
}
|
|
member_method {
|
|
name: "norm"
|
|
argspec: "args=[\'tensor\', \'ord\', \'axis\', \'keepdims\', \'name\'], varargs=None, keywords=None, defaults=[\'euclidean\', \'None\', \'None\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "not_equal"
|
|
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "numpy_function"
|
|
argspec: "args=[\'func\', \'inp\', \'Tout\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "one_hot"
|
|
argspec: "args=[\'indices\', \'depth\', \'on_value\', \'off_value\', \'axis\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "ones"
|
|
argspec: "args=[\'shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "ones_like"
|
|
argspec: "args=[\'input\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "pad"
|
|
argspec: "args=[\'tensor\', \'paddings\', \'mode\', \'constant_values\', \'name\'], varargs=None, keywords=None, defaults=[\'CONSTANT\', \'0\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "parallel_stack"
|
|
argspec: "args=[\'values\', \'name\'], varargs=None, keywords=None, defaults=[\'parallel_stack\'], "
|
|
}
|
|
member_method {
|
|
name: "pow"
|
|
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "print"
|
|
argspec: "args=[], varargs=inputs, keywords=kwargs, defaults=None"
|
|
}
|
|
member_method {
|
|
name: "py_function"
|
|
argspec: "args=[\'func\', \'inp\', \'Tout\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "range"
|
|
argspec: "args=[\'start\', \'limit\', \'delta\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'range\'], "
|
|
}
|
|
member_method {
|
|
name: "rank"
|
|
argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "realdiv"
|
|
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "reduce_all"
|
|
argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "reduce_any"
|
|
argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "reduce_logsumexp"
|
|
argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "reduce_max"
|
|
argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "reduce_mean"
|
|
argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "reduce_min"
|
|
argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "reduce_prod"
|
|
argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "reduce_sum"
|
|
argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "register_tensor_conversion_function"
|
|
argspec: "args=[\'base_type\', \'conversion_func\', \'priority\'], varargs=None, keywords=None, defaults=[\'100\'], "
|
|
}
|
|
member_method {
|
|
name: "required_space_to_batch_paddings"
|
|
argspec: "args=[\'input_shape\', \'block_shape\', \'base_paddings\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "reshape"
|
|
argspec: "args=[\'tensor\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "reverse"
|
|
argspec: "args=[\'tensor\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "reverse_sequence"
|
|
argspec: "args=[\'input\', \'seq_lengths\', \'seq_axis\', \'batch_axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "roll"
|
|
argspec: "args=[\'input\', \'shift\', \'axis\'], varargs=None, keywords=None, defaults=None"
|
|
}
|
|
member_method {
|
|
name: "round"
|
|
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "saturate_cast"
|
|
argspec: "args=[\'value\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "scalar_mul"
|
|
argspec: "args=[\'scalar\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "scan"
|
|
argspec: "args=[\'fn\', \'elems\', \'initializer\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'infer_shape\', \'reverse\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\', \'False\', \'True\', \'False\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "scatter_nd"
|
|
argspec: "args=[\'indices\', \'updates\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "searchsorted"
|
|
argspec: "args=[\'sorted_sequence\', \'values\', \'side\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\'left\', \"<dtype: \'int32\'>\", \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "sequence_mask"
|
|
argspec: "args=[\'lengths\', \'maxlen\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'bool\'>\", \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "shape"
|
|
argspec: "args=[\'input\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "shape_n"
|
|
argspec: "args=[\'input\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "sigmoid"
|
|
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "sign"
|
|
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "sin"
|
|
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "sinh"
|
|
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "size"
|
|
argspec: "args=[\'input\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "slice"
|
|
argspec: "args=[\'input_\', \'begin\', \'size\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "sort"
|
|
argspec: "args=[\'values\', \'axis\', \'direction\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'ASCENDING\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "space_to_batch"
|
|
argspec: "args=[\'input\', \'block_shape\', \'paddings\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "space_to_batch_nd"
|
|
argspec: "args=[\'input\', \'block_shape\', \'paddings\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "split"
|
|
argspec: "args=[\'value\', \'num_or_size_splits\', \'axis\', \'num\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\', \'split\'], "
|
|
}
|
|
member_method {
|
|
name: "sqrt"
|
|
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "square"
|
|
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "squeeze"
|
|
argspec: "args=[\'input\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "stack"
|
|
argspec: "args=[\'values\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'stack\'], "
|
|
}
|
|
member_method {
|
|
name: "stop_gradient"
|
|
argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "strided_slice"
|
|
argspec: "args=[\'input_\', \'begin\', \'end\', \'strides\', \'begin_mask\', \'end_mask\', \'ellipsis_mask\', \'new_axis_mask\', \'shrink_axis_mask\', \'var\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'0\', \'0\', \'0\', \'0\', \'None\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "subtract"
|
|
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "tan"
|
|
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "tanh"
|
|
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "tensor_scatter_nd_add"
|
|
argspec: "args=[\'tensor\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "tensor_scatter_nd_sub"
|
|
argspec: "args=[\'tensor\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "tensor_scatter_nd_update"
|
|
argspec: "args=[\'tensor\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "tensordot"
|
|
argspec: "args=[\'a\', \'b\', \'axes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "tile"
|
|
argspec: "args=[\'input\', \'multiples\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "timestamp"
|
|
argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "transpose"
|
|
argspec: "args=[\'a\', \'perm\', \'conjugate\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'transpose\'], "
|
|
}
|
|
member_method {
|
|
name: "truediv"
|
|
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "truncatediv"
|
|
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "truncatemod"
|
|
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "tuple"
|
|
argspec: "args=[\'tensors\', \'control_inputs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "unique"
|
|
argspec: "args=[\'x\', \'out_idx\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "unique_with_counts"
|
|
argspec: "args=[\'x\', \'out_idx\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "unravel_index"
|
|
argspec: "args=[\'indices\', \'dims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
|
}
|
|
member_method {
|
|
name: "unstack"
|
|
argspec: "args=[\'value\', \'num\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'unstack\'], "
|
|
}
|
|
member_method {
|
|
name: "variable_creator_scope"
|
|
argspec: "args=[\'variable_creator\'], varargs=None, keywords=None, defaults=None"
|
|
}
|
|
member_method {
|
|
name: "where"
|
|
argspec: "args=[\'condition\', \'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "while_loop"
|
|
argspec: "args=[\'cond\', \'body\', \'loop_vars\', \'shape_invariants\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'maximum_iterations\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\', \'False\', \'None\', \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "zeros"
|
|
argspec: "args=[\'shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
|
|
}
|
|
member_method {
|
|
name: "zeros_like"
|
|
argspec: "args=[\'input\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
|
|
}
|
|
}
|