TensorProtoOrBuilder

सार्वजनिक इंटरफ़ेस TensorProtoOrBuilder
ज्ञात अप्रत्यक्ष उपवर्ग

सार्वजनिक तरीके

अमूर्त बूलियन
getBoolVal (int सूचकांक)
 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];
सार इंट
getBoolValCount ()
 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];
सार सूची<बूलियन>
getBoolValList ()
 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];
सार दोहरा
getDcomplexVal (int सूचकांक)
 DT_COMPLEX128.
सार इंट
getDcomplexValCount ()
 DT_COMPLEX128.
सार सूची<डबल>
getDcomplexValList ()
 DT_COMPLEX128.
सार दोहरा
getDoubleVal (इंट इंडेक्स)
 DT_DOUBLE.
सार इंट
getDoubleValCount ()
 DT_DOUBLE.
सार सूची<डबल>
getDoubleValList ()
 DT_DOUBLE.
सार डेटा प्रकार
getDtype ()
.tensorflow.DataType dtype = 1;
सार इंट
getDtypeValue ()
.tensorflow.DataType dtype = 1;
अमूर्त फ्लोट
getFloatVal (int सूचकांक)
 DT_FLOAT.
सार इंट
getFloatValCount ()
 DT_FLOAT.
सार सूची<फ्लोट>
getFloatValList ()
 DT_FLOAT.
सार इंट
getHalfVal (int सूचकांक)
 DT_HALF, DT_BFLOAT16.
सार इंट
getHalfValCount ()
 DT_HALF, DT_BFLOAT16.
सार सूची<पूर्णांक>
getHalfValList ()
 DT_HALF, DT_BFLOAT16.
अमूर्त लंबा
getInt64Val (int सूचकांक)
 DT_INT64
 
repeated int64 int64_val = 10 [packed = true];
सार इंट
getInt64ValCount ()
 DT_INT64
 
repeated int64 int64_val = 10 [packed = true];
सार सूची<लंबा>
getInt64ValList ()
 DT_INT64
 
repeated int64 int64_val = 10 [packed = true];
सार इंट
getIntVal (int सूचकांक)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
सार इंट
getIntValCount ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
सार सूची<पूर्णांक>
getIntValList ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
सार रिसोर्सहैंडलप्रोटो
getResourceHandleVal (int अनुक्रमणिका)
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
सार इंट
getResourceHandleValCount ()
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
सार सूची < ResourceHandleProto >
getResourceHandleValList ()
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
सार रिसोर्सहैंडलप्रोटोऑरबिल्डर
getResourceHandleValOrBuilder (int अनुक्रमणिका)
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
सार सूची<? रिसोर्सहैंडलप्रोटोऑरबिल्डर > का विस्तार करता है
getResourceHandleValOrBuilderList ()
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
अमूर्त फ्लोट
getScomplexVal (int सूचकांक)
 DT_COMPLEX64.
सार इंट
getScomplexValCount ()
 DT_COMPLEX64.
सार सूची<फ्लोट>
getScomplexValList ()
 DT_COMPLEX64.
सार com.google.protobuf.ByteString
getStringVal (int सूचकांक)
 DT_STRING
 
repeated bytes string_val = 8;
सार इंट
getStringValCount ()
 DT_STRING
 
repeated bytes string_val = 8;
सार सूची<बाइटस्ट्रिंग>
getStringValList ()
 DT_STRING
 
repeated bytes string_val = 8;
सार com.google.protobuf.ByteString
getTensorContent ()
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
सार TensorShapeProto
getTensorShape ()
 Shape of the tensor.
सार TensorShapeProtoOrBuilder
getTensorShapeOrBuilder ()
 Shape of the tensor.
सार इंट
getUint32Val (int सूचकांक)
 DT_UINT32
 
repeated uint32 uint32_val = 16 [packed = true];
सार इंट
getUint32ValCount ()
 DT_UINT32
 
repeated uint32 uint32_val = 16 [packed = true];
सार सूची<पूर्णांक>
getUint32ValList ()
 DT_UINT32
 
repeated uint32 uint32_val = 16 [packed = true];
अमूर्त लंबा
getUint64Val (int सूचकांक)
 DT_UINT64
 
repeated uint64 uint64_val = 17 [packed = true];
सार इंट
getUint64ValCount ()
 DT_UINT64
 
repeated uint64 uint64_val = 17 [packed = true];
सार सूची<लंबा>
getUint64ValList ()
 DT_UINT64
 
repeated uint64 uint64_val = 17 [packed = true];
सार वैरिएंटटेन्सरडेटाप्रोटो
getVariantVal (इंट इंडेक्स)
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
सार इंट
getVariantValCount ()
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
सार सूची < VariantTensorDataProto >
getVariantValList ()
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
सार वेरिएंटटेन्सरडेटाप्रोटोऑरबिल्डर
getVariantValOrBuilder (int अनुक्रमणिका)
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
सार सूची<? VariantTensorDataProtoOrBuilder > का विस्तार करता है
getVariantValOrBuilderList ()
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
सार इंट
getVersionNumber ()
 Version number.
अमूर्त बूलियन
हैटेन्सरशेप ()
 Shape of the tensor.

सार्वजनिक तरीके

सार्वजनिक सार बूलियन getBoolVal (int सूचकांक)

 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];

सार्वजनिक सार int getBoolValCount ()

 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];

सार्वजनिक सार सूची<बूलियन> getBoolValList ()

 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];

सार्वजनिक सार डबल getDcomplexVal (int सूचकांक)

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.
 
repeated double dcomplex_val = 12 [packed = true];

सार्वजनिक सार int getDcomplexValCount ()

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.
 
repeated double dcomplex_val = 12 [packed = true];

सार्वजनिक सार सूची<डबल> getDcomplexValList ()

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.
 
repeated double dcomplex_val = 12 [packed = true];

सार्वजनिक सार डबल getDoubleVal (int सूचकांक)

 DT_DOUBLE.
 
repeated double double_val = 6 [packed = true];

सार्वजनिक सार int getDoubleValCount ()

 DT_DOUBLE.
 
repeated double double_val = 6 [packed = true];

सार्वजनिक सार सूची<डबल> getDoubleValList ()

 DT_DOUBLE.
 
repeated double double_val = 6 [packed = true];

सार्वजनिक सार डेटा प्रकार getDtype ()

.tensorflow.DataType dtype = 1;

सार्वजनिक सार int getDtypeValue ()

.tensorflow.DataType dtype = 1;

सार्वजनिक सार फ्लोट getFloatVal (int सूचकांक)

 DT_FLOAT.
 
repeated float float_val = 5 [packed = true];

सार्वजनिक सार int getFloatValCount ()

 DT_FLOAT.
 
repeated float float_val = 5 [packed = true];

सार्वजनिक सार सूची<फ्लोट> getFloatValList ()

 DT_FLOAT.
 
repeated float float_val = 5 [packed = true];

सार्वजनिक सार int getHalfVal (int सूचकांक)

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.
 
repeated int32 half_val = 13 [packed = true];

सार्वजनिक सार int getHalfValCount ()

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.
 
repeated int32 half_val = 13 [packed = true];

सार्वजनिक सार सूची <पूर्णांक> getHalfValList ()

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.
 
repeated int32 half_val = 13 [packed = true];

सार्वजनिक सार लंबा getInt64Val (int सूचकांक)

 DT_INT64
 
repeated int64 int64_val = 10 [packed = true];

सार्वजनिक सार int getInt64ValCount ()

 DT_INT64
 
repeated int64 int64_val = 10 [packed = true];

सार्वजनिक सार सूची<लंबा> getInt64ValList ()

 DT_INT64
 
repeated int64 int64_val = 10 [packed = true];

सार्वजनिक सार int getIntVal (int सूचकांक)

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
 
repeated int32 int_val = 7 [packed = true];

सार्वजनिक सार int getIntValCount ()

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
 
repeated int32 int_val = 7 [packed = true];

सार्वजनिक सार सूची <पूर्णांक> getIntValList ()

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
 
repeated int32 int_val = 7 [packed = true];

सार्वजनिक सार रिसोर्सहैंडलप्रोटो गेटरिसोर्सहैंडलवैल (इंट इंडेक्स)

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

सार्वजनिक सार int getResourceHandleValCount ()

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

सार्वजनिक सार सूची < ResourceHandleProto > getResourceHandleValList ()

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

सार्वजनिक सार रिसोर्सहैंडलप्रोटोऑरबिल्डर getResourceHandleValOrBuilder (इंट इंडेक्स)

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

सार्वजनिक सार सूची<? रिसोर्सहैंडलप्रोटोऑरबिल्डर > getResourceHandleValOrBuilderList () का विस्तार करता है

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

सार्वजनिक सार फ्लोट getScomplexVal (int सूचकांक)

 DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
 and imaginary parts of i-th single precision complex.
 
repeated float scomplex_val = 9 [packed = true];

सार्वजनिक सार int getScomplexValCount ()

 DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
 and imaginary parts of i-th single precision complex.
 
repeated float scomplex_val = 9 [packed = true];

सार्वजनिक सार सूची<फ्लोट> getScomplexValList ()

 DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
 and imaginary parts of i-th single precision complex.
 
repeated float scomplex_val = 9 [packed = true];

सार्वजनिक सार com.google.protobuf.ByteString getStringVal (int अनुक्रमणिका)

 DT_STRING
 
repeated bytes string_val = 8;

सार्वजनिक सार int getStringValCount ()

 DT_STRING
 
repeated bytes string_val = 8;

सार्वजनिक सार सूची <ByteString> getStringValList ()

 DT_STRING
 
repeated bytes string_val = 8;

सार्वजनिक सार com.google.protobuf.ByteString getTensorContent ()

 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. This representation
 can be used for all tensor types. The purpose of this representation is to
 reduce serialization overhead during RPC call by avoiding serialization of
 many repeated small items.
 
bytes tensor_content = 4;

सार्वजनिक सार TensorShapeProto getTensorShape ()

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.
 
.tensorflow.TensorShapeProto tensor_shape = 2;

सार्वजनिक सार TensorShapeProtoOrBuilder getTensorShapeOrBuilder ()

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.
 
.tensorflow.TensorShapeProto tensor_shape = 2;

सार्वजनिक सार int getUint32Val (int सूचकांक)

 DT_UINT32
 
repeated uint32 uint32_val = 16 [packed = true];

सार्वजनिक सार int getUint32ValCount ()

 DT_UINT32
 
repeated uint32 uint32_val = 16 [packed = true];

सार्वजनिक सार सूची<पूर्णांक> getUint32ValList ()

 DT_UINT32
 
repeated uint32 uint32_val = 16 [packed = true];

सार्वजनिक सार लंबा getUint64Val (int सूचकांक)

 DT_UINT64
 
repeated uint64 uint64_val = 17 [packed = true];

सार्वजनिक सार int getUint64ValCount ()

 DT_UINT64
 
repeated uint64 uint64_val = 17 [packed = true];

सार्वजनिक सार सूची<लंबा> getUint64ValList ()

 DT_UINT64
 
repeated uint64 uint64_val = 17 [packed = true];

सार्वजनिक सार VariantTensorDataProto getVariantVal (int अनुक्रमणिका)

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

सार्वजनिक सार int getVariantValCount ()

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

सार्वजनिक सार सूची< VariantTensorDataProto > getVariantValList ()

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

सार्वजनिक सार VariantTensorDataProtoOrBuilder getVariantValOrBuilder (int अनुक्रमणिका)

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

सार्वजनिक सार सूची<? VariantTensorDataProtoOrBuilder > getVariantValOrBuilderList () का विस्तार करता है

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

सार्वजनिक सार int getVersionNumber ()

 Version number.
 In version 0, if the "repeated xxx" representations contain only one
 element, that element is repeated to fill the shape.  This makes it easy
 to represent a constant Tensor with a single value.
 
int32 version_number = 3;

सार्वजनिक सार बूलियन hasTensorShape ()

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.
 
.tensorflow.TensorShapeProto tensor_shape = 2;