TensorFlow 14 मई को Google I/O पर वापस आ गया है! अभी पंजीकरण करें

इस पेज का अनुवाद Cloud Translation API से किया गया है.

TensorProto.Builder

सार्वजनिक स्थैतिक अंतिम वर्ग TensorProto.Builder

 Protocol buffer representing a tensor.

प्रोटोबफ़ प्रकार tensorflow.TensorProto

सार्वजनिक तरीके

TensorProto.बिल्डर	addAllBoolVal (Iterable<? एक्सटेंड्स बूलियन> मान) DT_BOOL `repeated bool bool_val = 11 [packed = true];`
TensorProto.बिल्डर	addAllDcomplexVal (इटरेबल<? एक्सटेंड्स डबल> मान) DT_COMPLEX128.
TensorProto.बिल्डर	addAllDoubleVal (इटरेबल<? एक्सटेंड्स डबल> मान) DT_DOUBLE.
TensorProto.बिल्डर	addAllFloatVal (Iterable<? विस्तारित Float> मान) DT_FLOAT.
TensorProto.बिल्डर	addAllHalfVal (Iterable<? विस्तारित Integer> मान) DT_HALF, DT_BFLOAT16.
TensorProto.बिल्डर	addAllInt64Val (Iterable<? लंबे> मान बढ़ाता है) DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
TensorProto.बिल्डर	addAllIntVal (Iterable<? विस्तारित Integer> मान) DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.बिल्डर	addAllResourceHandleVal (इटरेबल<? रिसोर्सहैंडलप्रोटो > मान बढ़ाता है) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.बिल्डर	addAllScomplexVal (Iterable<? विस्तारित फ़्लोट> मान) DT_COMPLEX64.
TensorProto.बिल्डर	addAllStringVal (Iterable<? बाइटस्ट्रिंग> मान बढ़ाता है) DT_STRING `repeated bytes string_val = 8;`
TensorProto.बिल्डर	addAllUint32Val (Iterable<? विस्तारित Integer> मान) DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
TensorProto.बिल्डर	addAllUint64Val (Iterable<? लंबे> मान बढ़ाता है) DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
TensorProto.बिल्डर	addAllVariantVal (Iterable<? VariantTensorDataProto > मान बढ़ाता है) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.बिल्डर	addBoolVal (बूलियन मान) DT_BOOL `repeated bool bool_val = 11 [packed = true];`
TensorProto.बिल्डर	addDcomplexVal (दोगुना मान) DT_COMPLEX128.
TensorProto.बिल्डर	addDoubleVal (दोगुना मान) DT_DOUBLE.
TensorProto.बिल्डर	addFloatVal (फ्लोट मान) DT_FLOAT.
TensorProto.बिल्डर	addHalfVal (int मान) DT_HALF, DT_BFLOAT16.
TensorProto.बिल्डर	addInt64Val (लंबा मान) DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
TensorProto.बिल्डर	addIntVal (int मान) DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.बिल्डर	addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)
TensorProto.बिल्डर	addResourceHandleVal (इंट इंडेक्स, रिसोर्सहैंडलप्रोटो.बिल्डर बिल्डरफॉरवैल्यू) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.बिल्डर	addResourceHandleVal (इंट इंडेक्स, रिसोर्सहैंडलप्रोटो वैल्यू) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.बिल्डर	addResourceHandleVal ( ResourceHandleProto मान) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.बिल्डर	addResourceHandleVal ( ResourceHandleProto.Builder BuilderForValue) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
रिसोर्सहैंडलप्रोटो.बिल्डर	addResourceHandleValBuilder (int अनुक्रमणिका) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
रिसोर्सहैंडलप्रोटो.बिल्डर	addResourceHandleValBuilder () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.बिल्डर	addScomplexVal (फ़्लोट मान) DT_COMPLEX64.
TensorProto.बिल्डर	addStringVal (com.google.protobuf.ByteString मान) DT_STRING `repeated bytes string_val = 8;`
TensorProto.बिल्डर	addUint32Val (int मान) DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
TensorProto.बिल्डर	addUint64Val (लंबा मान) DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
TensorProto.बिल्डर	addVariantVal ( VariantTensorDataProto मान) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.बिल्डर	addVariantVal (int इंडेक्स, VariantTensorDataProto.Builder BuilderForValue) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.बिल्डर	addVariantVal (int सूचकांक, VariantTensorDataProto मान) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.बिल्डर	addVariantVal ( VariantTensorDataProto.Builder BuilderForValue) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
वेरिएंटटेन्सरडेटाप्रोटो.बिल्डर	addVariantValBuilder (int अनुक्रमणिका) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
वेरिएंटटेन्सरडेटाप्रोटो.बिल्डर	addVariantValBuilder () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
टेंसरप्रोटो	निर्माण ()
टेंसरप्रोटो	बिल्डआंशिक ()
TensorProto.बिल्डर	स्पष्ट ()
TensorProto.बिल्डर	क्लियरबूलवैल () DT_BOOL `repeated bool bool_val = 11 [packed = true];`
TensorProto.बिल्डर	क्लियरडीकॉम्प्लेक्सवैल () DT_COMPLEX128.
TensorProto.बिल्डर	क्लियरडबलवैल () DT_DOUBLE.
TensorProto.बिल्डर	क्लीयरडीटाइप () `.tensorflow.DataType dtype = 1;`
TensorProto.बिल्डर	क्लियरफ़ील्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड)
TensorProto.बिल्डर	क्लियरफ्लोटवैल () DT_FLOAT.
TensorProto.बिल्डर	क्लियरहाफवैल () DT_HALF, DT_BFLOAT16.
TensorProto.बिल्डर	ClearInt64Val () DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
TensorProto.बिल्डर	क्लियरइंटवैल () DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.बिल्डर	ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
TensorProto.बिल्डर	क्लियररिसोर्सहैंडलवैल () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.बिल्डर	क्लियरसकॉम्प्लेक्सवैल () DT_COMPLEX64.
TensorProto.बिल्डर	क्लीयरस्ट्रिंगवैल () DT_STRING `repeated bytes string_val = 8;`
TensorProto.बिल्डर	क्लियरटेन्सरकंटेंट () Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorProto.बिल्डर	क्लियरटेन्सरशेप () Shape of the tensor.
TensorProto.बिल्डर	ClearUint32Val () DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
TensorProto.बिल्डर	ClearUint64Val () DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
TensorProto.बिल्डर	क्लियरवेरिएंटवैल () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.बिल्डर	क्लियरवर्ज़ननंबर () Version number.
TensorProto.बिल्डर	क्लोन ()
बूलियन	getBoolVal (int सूचकांक) DT_BOOL `repeated bool bool_val = 11 [packed = true];`
int यहाँ	getBoolValCount () DT_BOOL `repeated bool bool_val = 11 [packed = true];`
सूची<बूलियन>	getBoolValList () DT_BOOL `repeated bool bool_val = 11 [packed = true];`
दोहरा	getDcomplexVal (int सूचकांक) DT_COMPLEX128.
int यहाँ	getDcomplexValCount () DT_COMPLEX128.
सूची<डबल>	getDcomplexValList () DT_COMPLEX128.
टेंसरप्रोटो	getDefaultInstanceForType ()
अंतिम स्थिर com.google.protobuf.Descriptors.Descriptor	getDescriptor ()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType ()
दोहरा	getDoubleVal (इंट इंडेक्स) DT_DOUBLE.
int यहाँ	getDoubleValCount () DT_DOUBLE.
सूची<डबल>	getDoubleValList () DT_DOUBLE.
डेटा प्रकार	getDtype () `.tensorflow.DataType dtype = 1;`
int यहाँ	getDtypeValue () `.tensorflow.DataType dtype = 1;`
तैरना	getFloatVal (int सूचकांक) DT_FLOAT.
int यहाँ	getFloatValCount () DT_FLOAT.
सूची<फ्लोट>	getFloatValList () DT_FLOAT.
int यहाँ	getHalfVal (int सूचकांक) DT_HALF, DT_BFLOAT16.
int यहाँ	getHalfValCount () DT_HALF, DT_BFLOAT16.
सूची<पूर्णांक>	getHalfValList () DT_HALF, DT_BFLOAT16.
लंबा	getInt64Val (int सूचकांक) DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
int यहाँ	getInt64ValCount () DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
सूची<लंबी>	getInt64ValList () DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
int यहाँ	getIntVal (int सूचकांक) DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
int यहाँ	getIntValCount () DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
सूची<पूर्णांक>	getIntValList () DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
रिसोर्सहैंडलप्रोटो	getResourceHandleVal (int अनुक्रमणिका) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
रिसोर्सहैंडलप्रोटो.बिल्डर	getResourceHandleValBuilder (int अनुक्रमणिका) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
सूची < ResourceHandleProto.Builder >	getResourceHandleValBuilderList () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
int यहाँ	getResourceHandleValCount () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
सूची< ResourceHandleProto >	getResourceHandleValList () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
रिसोर्सहैंडलप्रोटोऑरबिल्डर	getResourceHandleValOrBuilder (int अनुक्रमणिका) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
सूची<? रिसोर्सहैंडलप्रोटोऑरबिल्डर > का विस्तार करता है	getResourceHandleValOrBuilderList () DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
तैरना	getScomplexVal (int सूचकांक) DT_COMPLEX64.
int यहाँ	getScomplexValCount () DT_COMPLEX64.
सूची<फ्लोट>	getScomplexValList () DT_COMPLEX64.
com.google.protobuf.ByteString	getStringVal (int सूचकांक) DT_STRING `repeated bytes string_val = 8;`
int यहाँ	getStringValCount () DT_STRING `repeated bytes string_val = 8;`
सूची<बाइटस्ट्रिंग>	getStringValList () DT_STRING `repeated bytes string_val = 8;`
com.google.protobuf.ByteString	getTensorContent () Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
टेंसरशेपप्रोटो	getTensorShape () Shape of the tensor.
TensorShapeProto.बिल्डर	getTensorShapeBuilder () Shape of the tensor.
TensorShapeProtoOrBuilder	getTensorShapeOrBuilder () Shape of the tensor.
int यहाँ	getUint32Val (int सूचकांक) DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
int यहाँ	getUint32ValCount () DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
सूची<पूर्णांक>	getUint32ValList () DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
लंबा	getUint64Val (int सूचकांक) DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
int यहाँ	getUint64ValCount () DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
सूची<लंबी>	getUint64ValList () DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
वेरिएंटटेन्सरडेटाप्रोटो	getVariantVal (इंट इंडेक्स) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
वेरिएंटटेन्सरडेटाप्रोटो.बिल्डर	getVariantValBuilder (int अनुक्रमणिका) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
सूची < VariantTensorDataProto.Builder >	getVariantValBuilderList () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
int यहाँ	getVariantValCount () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
सूची< VariantTensorDataProto >	getVariantValList () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
वेरिएंटटेन्सरडेटाप्रोटोऑरबिल्डर	getVariantValOrBuilder (int अनुक्रमणिका) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
सूची<? VariantTensorDataProtoOrBuilder > का विस्तार करता है	getVariantValOrBuilderList () DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
int यहाँ	getVersionNumber () Version number.
बूलियन	हैटेन्सरशेप () Shape of the tensor.
अंतिम बूलियन	प्रारंभ किया गया है ()
TensorProto.बिल्डर	मर्जफ्रॉम (com.google.protobuf.Message अन्य)
TensorProto.बिल्डर	मर्जफ्रॉम (com.google.protobuf.CodedInputStream इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
TensorProto.बिल्डर	मर्जटेन्सरशेप ( टेन्सोरशेपप्रोटो मान) Shape of the tensor.
अंतिम TensorProto.Builder	मर्जअज्ञातफ़ील्ड्स (com.google.protobuf.UnknownFieldSet अज्ञातफ़ील्ड्स)
TensorProto.बिल्डर	हटाएंResourceHandleVal (int अनुक्रमणिका) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.बिल्डर	रिमूववेरिएंटवैल (इंट इंडेक्स) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.बिल्डर	setBoolVal (int सूचकांक, बूलियन मान) DT_BOOL `repeated bool bool_val = 11 [packed = true];`
TensorProto.बिल्डर	setDcomplexVal (int सूचकांक, दोहरा मान) DT_COMPLEX128.
TensorProto.बिल्डर	setDoubleVal (इंट इंडेक्स, डबल वैल्यू) DT_DOUBLE.
TensorProto.बिल्डर	सेटडीटाइप ( डेटाटाइप मान) `.tensorflow.DataType dtype = 1;`
TensorProto.बिल्डर	setDtypeValue (int मान) `.tensorflow.DataType dtype = 1;`
TensorProto.बिल्डर	सेटफ़ील्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)
TensorProto.बिल्डर	setFloatVal (इंट इंडेक्स, फ्लोट वैल्यू) DT_FLOAT.
TensorProto.बिल्डर	setHalfVal (int सूचकांक, int मान) DT_HALF, DT_BFLOAT16.
TensorProto.बिल्डर	setInt64Val (int सूचकांक, लंबा मान) DT_INT64 `repeated int64 int64_val = 10 [packed = true];`
TensorProto.बिल्डर	setIntVal (int सूचकांक, int मान) DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.बिल्डर	setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, इंट इंडेक्स, ऑब्जेक्ट वैल्यू)
TensorProto.बिल्डर	setResourceHandleVal (इंट इंडेक्स, रिसोर्सहैंडलप्रोटो.बिल्डर बिल्डरफॉरवैल्यू) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.बिल्डर	setResourceHandleVal (इंट इंडेक्स, रिसोर्सहैंडलप्रोटो वैल्यू) DT_RESOURCE `repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;`
TensorProto.बिल्डर	setScomplexVal (int सूचकांक, फ़्लोट मान) DT_COMPLEX64.
TensorProto.बिल्डर	setStringVal (int अनुक्रमणिका, com.google.protobuf.ByteString मान) DT_STRING `repeated bytes string_val = 8;`
TensorProto.बिल्डर	setTensorContent (com.google.protobuf.ByteString मान) Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorProto.बिल्डर	setTensorShape ( TensorShapeProto मान) Shape of the tensor.
TensorProto.बिल्डर	setTensorShape ( TensorShapeProto.Builder BuilderForValue) Shape of the tensor.
TensorProto.बिल्डर	setUint32Val (int सूचकांक, int मान) DT_UINT32 `repeated uint32 uint32_val = 16 [packed = true];`
TensorProto.बिल्डर	setUint64Val (int सूचकांक, लंबा मान) DT_UINT64 `repeated uint64 uint64_val = 17 [packed = true];`
अंतिम TensorProto.Builder	अज्ञात फ़ील्ड सेट करें (com.google.protobuf. अज्ञात फ़ील्ड सेट अज्ञात फ़ील्ड)
TensorProto.बिल्डर	setVariantVal (int सूचकांक, VariantTensorDataProto मान) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.बिल्डर	setVariantVal (int इंडेक्स, VariantTensorDataProto.Builder BuilderForValue) DT_VARIANT `repeated .tensorflow.VariantTensorDataProto variant_val = 15;`
TensorProto.बिल्डर	setVersionNumber (int मान) Version number.

विरासत में मिली विधियाँ

कक्षा java.lang.Object से

बूलियन	बराबर (ऑब्जेक्ट arg0)
अंतिम कक्षा<?>	गेटक्लास ()
int यहाँ	हैश कोड ()
अंतिम शून्य	सूचित करें ()
अंतिम शून्य	सभी को सूचित करें ()
डोरी	स्ट्रिंग ()
अंतिम शून्य	प्रतीक्षा करें (लंबा arg0, int arg1)
अंतिम शून्य	प्रतीक्षा करें (लंबा arg0)
अंतिम शून्य	इंतज़ार ()

इंटरफ़ेस org.tensorflow.proto.framework.TensorProtoOrBuilder से

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 TensorProto.Builder addAllBoolVal (Iterable<? एक्सटेंड्स बूलियन> मान)

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

सार्वजनिक TensorProto.Builder addAllDcomplexVal (Iterable<? एक्सटेंड्स डबल> मान)

 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 TensorProto.Builder addAllDoubleVal (Iterable<? एक्सटेंड्स डबल> मान)

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

सार्वजनिक TensorProto.Builder addAllFloatVal (Iterable<? विस्तारित Float> मान)

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

सार्वजनिक TensorProto.Builder addAllHalfVal (Iterable<? विस्तारित Integer> मान)

 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 TensorProto.Builder addAllInt64Val (Iterable<? लंबे> मान बढ़ाता है)

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

सार्वजनिक TensorProto.Builder addAllIntVal (Iterable<? विस्तारित Integer> मान)

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

सार्वजनिक TensorProto.Builder addAllResourceHandleVal (Iterable<? resourceHandleProto > मान बढ़ाता है)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

सार्वजनिक TensorProto.Builder addAllScomplexVal (Iterable<? विस्तारित फ़्लोट> मान)

 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 TensorProto.Builder addAllStringVal (Iterable<? विस्तार ByteString> मान)

 DT_STRING

repeated bytes string_val = 8;

सार्वजनिक TensorProto.Builder addAllUint32Val (Iterable<? विस्तारित Integer> मान)

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

सार्वजनिक TensorProto.Builder addAllUint64Val (Iterable<? लंबे> मान बढ़ाता है)

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

सार्वजनिक TensorProto.Builder addAllVariantVal (Iterable<? VariantTensorDataProto > मान बढ़ाता है)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

सार्वजनिक TensorProto.Builder addBoolVal (बूलियन मान)

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

सार्वजनिक TensorProto.Builder addDcomplexVal (दोगुना मान)

 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 TensorProto.Builder addDoubleVal (दोगुना मान)

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

सार्वजनिक TensorProto.Builder addFloatVal (फ्लोट मान)

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

सार्वजनिक TensorProto.Builder addHalfVal (int मान)

 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 TensorProto.Builder addInt64Val (लंबा मान)

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

सार्वजनिक TensorProto.Builder addIntVal (int मान)

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

सार्वजनिक TensorProto.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)

सार्वजनिक TensorProto.Builder addResourceHandleVal (int अनुक्रमणिका, resourceHandleProto.Builder BuilderForValue)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

सार्वजनिक TensorProto.Builder addResourceHandleVal (इंट इंडेक्स, रिसोर्सहैंडलप्रोटो वैल्यू)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

सार्वजनिक TensorProto.Builder addResourceHandleVal ( ResourceHandleProto मान)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

सार्वजनिक TensorProto.Builder addResourceHandleVal ( ResourceHandleProto.Builder BuilderForValue)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

सार्वजनिक रिसोर्सहैंडलप्रोटो.बिल्डर ऐडरिसोर्सहैंडलवैलबिल्डर (इंट इंडेक्स)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

सार्वजनिक ResourceHandleProto.Builder addResourceHandleValBuilder ()

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

सार्वजनिक TensorProto.Builder addScomplexVal (फ़्लोट मान)

 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 TensorProto.Builder addStringVal (com.google.protobuf.ByteString मान)

 DT_STRING

repeated bytes string_val = 8;

सार्वजनिक TensorProto.Builder addUint32Val (int मान)

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

सार्वजनिक TensorProto.Builder addUint64Val (लंबा मान)

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

सार्वजनिक TensorProto.Builder addVariantVal ( VariantTensorDataProto मान)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

सार्वजनिक TensorProto.Builder addVariantVal (int इंडेक्स, VariantTensorDataProto.Builder BuilderForValue)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

सार्वजनिक TensorProto.Builder addVariantVal (int सूचकांक, VariantTensorDataProto मान)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

सार्वजनिक TensorProto.Builder addVariantVal ( VariantTensorDataProto.Builder BuilderForValue)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

सार्वजनिक VariantTensorDataProto.Builder addVariantValBuilder (int अनुक्रमणिका)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

सार्वजनिक VariantTensorDataProto.Builder addVariantValBuilder ()

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

सार्वजनिक TensorProto बिल्ड ()

सार्वजनिक TensorProto बिल्डआंशिक ()

सार्वजनिक TensorProto.Builder स्पष्ट ()

सार्वजनिक TensorProto.Builder ClearBoolVal ()

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

सार्वजनिक TensorProto.Builder ClearDcomplexVal ()

 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 TensorProto.Builder ClearDoubleVal ()

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

सार्वजनिक TensorProto.Builder ClearDtype ()

.tensorflow.DataType dtype = 1;

सार्वजनिक TensorProto.Builder ClearField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड)

सार्वजनिक TensorProto.Builder ClearFloatVal ()

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

सार्वजनिक TensorProto.Builder ClearHalfVal ()

 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 TensorProto.Builder ClearInt64Val ()

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

सार्वजनिक TensorProto.Builder ClearIntVal ()

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

सार्वजनिक TensorProto.Builder ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

सार्वजनिक TensorProto.Builder ClearResourceHandleVal ()

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

सार्वजनिक TensorProto.Builder ClearScomplexVal ()

 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 TensorProto.Builder ClearStringVal ()

 DT_STRING

repeated bytes string_val = 8;

सार्वजनिक TensorProto.Builder ClearTensorContent ()

 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 TensorProto.Builder ClearTensorShape ()

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.

.tensorflow.TensorShapeProto tensor_shape = 2;

सार्वजनिक TensorProto.Builder ClearUint32Val ()

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

सार्वजनिक TensorProto.Builder ClearUint64Val ()

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

सार्वजनिक TensorProto.Builder ClearVariantVal ()

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

सार्वजनिक TensorProto.Builder ClearVersionNumber ()

 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 TensorProto.Builder क्लोन ()

सार्वजनिक बूलियन getBoolVal (int सूचकांक)

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

सार्वजनिक int getBoolValCount ()

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

सार्वजनिक सूची<बूलियन> getBoolValList ()

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

सार्वजनिक 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 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 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 TensorProto getDefaultInstanceForType ()

सार्वजनिक स्थैतिक अंतिम com.google.protobuf.Descriptors.Descriptor getDescriptor ()

सार्वजनिक com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()

सार्वजनिक डबल getDoubleVal (int सूचकांक)

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

सार्वजनिक int getDoubleValCount ()

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

सार्वजनिक सूची<डबल> getDoubleValList ()

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

सार्वजनिक डेटा प्रकार getDtype ()

.tensorflow.DataType dtype = 1;

सार्वजनिक int getDtypeValue ()

.tensorflow.DataType dtype = 1;

सार्वजनिक फ्लोट getFloatVal (int सूचकांक)

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

सार्वजनिक int getFloatValCount ()

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

सार्वजनिक सूची<फ्लोट> getFloatValList ()

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

सार्वजनिक पूर्णांक getHalfVal (पूर्णांक 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 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 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 लंबा getInt64Val (int सूचकांक)

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

सार्वजनिक int getInt64ValCount ()

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

सार्वजनिक सूची<लंबा> getInt64ValList ()

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

सार्वजनिक int getIntVal (int सूचकांक)

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

सार्वजनिक int getIntValCount ()

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

सार्वजनिक सूची<पूर्णांक> getIntValList ()

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

सार्वजनिक रिसोर्सहैंडलप्रोटो getResourceHandleVal (इंट इंडेक्स)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

सार्वजनिक रिसोर्सहैंडलप्रोटो.बिल्डर getResourceHandleValBuilder (इंट इंडेक्स)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

सार्वजनिक सूची < ResourceHandleProto.Builder > getResourceHandleValBuilderList ()

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

सार्वजनिक int getResourceHandleValCount ()

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

सार्वजनिक सूची < ResourceHandleProto > getResourceHandleValList ()

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

सार्वजनिक रिसोर्सहैंडलप्रोटोऑरबिल्डर getResourceHandleValOrBuilder (इंट इंडेक्स)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

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

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

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

 DT_STRING

repeated bytes string_val = 8;

सार्वजनिक int getStringValCount ()

 DT_STRING

repeated bytes string_val = 8;

सार्वजनिक सूची<ByteString> getStringValList ()

 DT_STRING

repeated bytes string_val = 8;

सार्वजनिक 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 TensorShapeProto getTensorShape ()

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.

.tensorflow.TensorShapeProto tensor_shape = 2;

सार्वजनिक TensorShapeProto.Builder getTensorShapeBuilder ()

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.

.tensorflow.TensorShapeProto tensor_shape = 2;

सार्वजनिक TensorShapeProtoOrBuilder getTensorShapeOrBuilder ()

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.

.tensorflow.TensorShapeProto tensor_shape = 2;

सार्वजनिक int getUint32Val (int सूचकांक)

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

सार्वजनिक int getUint32ValCount ()

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

सार्वजनिक सूची<पूर्णांक> getUint32ValList ()

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

सार्वजनिक लंबा getUint64Val (int सूचकांक)

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

सार्वजनिक int getUint64ValCount ()

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

सार्वजनिक सूची<लंबा> getUint64ValList ()

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

सार्वजनिक VariantTensorDataProto getVariantVal (int अनुक्रमणिका)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

सार्वजनिक VariantTensorDataProto.Builder getVariantValBuilder (int अनुक्रमणिका)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

सार्वजनिक सूची< VariantTensorDataProto.Builder > getVariantValBuilderList ()

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

सार्वजनिक int getVariantValCount ()

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

सार्वजनिक सूची < VariantTensorDataProto > getVariantValList ()

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

सार्वजनिक VariantTensorDataProtoOrBuilder getVariantValOrBuilder (int अनुक्रमणिका)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

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

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

सार्वजनिक 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 बूलियन hasTensorShape ()

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.

.tensorflow.TensorShapeProto tensor_shape = 2;

सार्वजनिक अंतिम बूलियन आरंभीकृत है ()

सार्वजनिक TensorProto.Builder mergeFrom (com.google.protobuf.Message अन्य)

सार्वजनिक TensorProto.Builder mergeFrom (com.google.protobuf.CodedInputStream इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)

फेंकता

आईओ अपवाद

सार्वजनिक TensorProto.Builder mergeTensorShape ( TensorShapeProto मान)

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.

.tensorflow.TensorShapeProto tensor_shape = 2;

सार्वजनिक अंतिम TensorProto.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet अज्ञातफील्ड्स)

सार्वजनिक TensorProto.Builder निकालेंResourceHandleVal (int अनुक्रमणिका)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

सार्वजनिक TensorProto.Builder रिमूववेरिएंटवैल (इंट इंडेक्स)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

सार्वजनिक TensorProto.Builder setBoolVal (int सूचकांक, बूलियन मान)

 DT_BOOL

repeated bool bool_val = 11 [packed = true];

सार्वजनिक TensorProto.Builder setDcomplexVal (int सूचकांक, दोहरा मान)

 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 TensorProto.Builder setDoubleVal (इंट इंडेक्स, डबल वैल्यू)

 DT_DOUBLE.

repeated double double_val = 6 [packed = true];

सार्वजनिक TensorProto.Builder setDtype ( डेटाटाइप मान)

.tensorflow.DataType dtype = 1;

सार्वजनिक TensorProto.Builder setDtypeValue (int मान)

.tensorflow.DataType dtype = 1;

सार्वजनिक TensorProto.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)

सार्वजनिक TensorProto.Builder setFloatVal (इंट इंडेक्स, फ्लोट वैल्यू)

 DT_FLOAT.

repeated float float_val = 5 [packed = true];

सार्वजनिक TensorProto.Builder setHalfVal (int सूचकांक, int मान)

 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 TensorProto.Builder setInt64Val (int सूचकांक, लंबा मान)

 DT_INT64

repeated int64 int64_val = 10 [packed = true];

सार्वजनिक TensorProto.Builder setIntVal (int सूचकांक, int मान)

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

repeated int32 int_val = 7 [packed = true];

सार्वजनिक TensorProto.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, int अनुक्रमणिका, ऑब्जेक्ट मान)

सार्वजनिक TensorProto.Builder setResourceHandleVal (int अनुक्रमणिका, resourceHandleProto.Builder BuilderForValue)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

सार्वजनिक TensorProto.Builder setResourceHandleVal (इंट इंडेक्स, रिसोर्सहैंडलप्रोटो वैल्यू)

 DT_RESOURCE

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

सार्वजनिक TensorProto.Builder setScomplexVal (इंट इंडेक्स, फ्लोट वैल्यू)

 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 TensorProto.Builder setStringVal (int सूचकांक, com.google.protobuf.ByteString मान)

 DT_STRING

repeated bytes string_val = 8;

सार्वजनिक TensorProto.Builder setTensorContent (com.google.protobuf.ByteString मान)

 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 TensorProto.Builder setTensorShape ( TensorShapeProto मान)

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.

.tensorflow.TensorShapeProto tensor_shape = 2;

सार्वजनिक TensorProto.Builder setTensorShape ( TensorShapeProto.Builder BuilderForValue)

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.

.tensorflow.TensorShapeProto tensor_shape = 2;

सार्वजनिक TensorProto.Builder setUint32Val (int सूचकांक, int मान)

 DT_UINT32

repeated uint32 uint32_val = 16 [packed = true];

सार्वजनिक TensorProto.Builder setUint64Val (int सूचकांक, लंबा मान)

 DT_UINT64

repeated uint64 uint64_val = 17 [packed = true];

सार्वजनिक अंतिम TensorProto.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet अज्ञातFields)

सार्वजनिक TensorProto.Builder setVariantVal (int सूचकांक, VariantTensorDataProto मान)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

सार्वजनिक TensorProto.Builder setVariantVal (int इंडेक्स, VariantTensorDataProto.Builder BuilderForValue)

 DT_VARIANT

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

सार्वजनिक TensorProto.Builder setVersionNumber (int मान)

 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;