package tensorflow.eas

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Used in: ArrayProto

• DT_INVALID = 0

  Not a legal value for DataType. Used to indicate a DataType field has not been set.

• DT_FLOAT = 1

  Data types that all computation devices are expected to be capable to support.

• DT_DOUBLE = 2

• DT_INT32 = 3

• DT_UINT8 = 4

• DT_INT16 = 5

• DT_INT8 = 6

• DT_STRING = 7

• DT_COMPLEX64 = 8

  Single-precision complex

• DT_INT64 = 9

• DT_BOOL = 10

• DT_QINT8 = 11

  Quantized int8

• DT_QUINT8 = 12

  Quantized uint8

• DT_QINT32 = 13

  Quantized int32

• DT_BFLOAT16 = 14

  Float32 truncated to 16 bits. Only for cast ops.

• DT_QINT16 = 15

  Quantized int16

• DT_QUINT16 = 16

  Quantized uint16

• DT_UINT16 = 17

• DT_COMPLEX128 = 18

  Double-precision complex

• DT_HALF = 19

• DT_RESOURCE = 20

• DT_VARIANT = 21

  Arbitrary C++ data types

Protocol buffer representing an array

Used in: com.alibaba.pairec.processor.PBResponse, PredictRequest, PredictResponse

• ArrayDataType dtype = 1

  Data Type.

• optional ArrayShape array_shape = 2

  Shape of the array.

• repeated float float_val = 3

  DT_FLOAT.

• repeated double double_val = 4

  DT_DOUBLE.

• repeated int32 int_val = 5

  DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

• repeated bytes string_val = 6

  DT_STRING.

• repeated int64 int64_val = 7

  DT_INT64.

• repeated bool bool_val = 8

  DT_BOOL.

Dimensions of an array

Used in: ArrayProto

• repeated int64 dim = 1

PredictRequest specifies which TensorFlow model to run, as well as how inputs are mapped to tensors and how outputs are filtered before returning to user.

• string signature_name = 1

  A named signature to evaluate. If unspecified, the default signature will be used

• map<string, ArrayProto> inputs = 2

  Input tensors. Names of input tensor are alias names. The mapping from aliases to real input tensor names is expected to be stored as named generic signature under the key "inputs" in the model export. Each alias listed in a generic signature named "inputs" should be provided exactly once in order to run the prediction.

• repeated string output_filter = 3

  Output filter. Names specified are alias names. The mapping from aliases to real output tensor names is expected to be stored as named generic signature under the key "outputs" in the model export. Only tensors specified here will be run/fetched and returned, with the exception that when none is specified, all tensors specified in the named signature will be run/fetched and returned.

• int32 debug_level = 100

Response for PredictRequest on successful run.

• map<string, ArrayProto> outputs = 1

  Output tensors.