tensorflow_serving_client/
predict.rs

1// This file is generated by rust-protobuf 2.14.0. Do not edit
2// @generated
3
4// https://github.com/rust-lang/rust-clippy/issues/702
5#![allow(unknown_lints)]
6#![allow(clippy::all)]
7
8#![cfg_attr(rustfmt, rustfmt_skip)]
9
10#![allow(box_pointers)]
11#![allow(dead_code)]
12#![allow(missing_docs)]
13#![allow(non_camel_case_types)]
14#![allow(non_snake_case)]
15#![allow(non_upper_case_globals)]
16#![allow(trivial_casts)]
17#![allow(unsafe_code)]
18#![allow(unused_imports)]
19#![allow(unused_results)]
20//! Generated file from `tensorflow_serving/apis/predict.proto`
21
22use protobuf::Message as Message_imported_for_functions;
23use protobuf::ProtobufEnum as ProtobufEnum_imported_for_functions;
24
25/// Generated files are compatible only with the same version
26/// of protobuf runtime.
27// const _PROTOBUF_VERSION_CHECK: () = ::protobuf::VERSION_2_14_0;
28
29#[derive(PartialEq,Clone,Default)]
30pub struct PredictRequest {
31    // message fields
32    pub model_spec: ::protobuf::SingularPtrField<super::model::ModelSpec>,
33    pub inputs: ::std::collections::HashMap<::std::string::String, super::tensor::TensorProto>,
34    pub output_filter: ::protobuf::RepeatedField<::std::string::String>,
35    // special fields
36    pub unknown_fields: ::protobuf::UnknownFields,
37    pub cached_size: ::protobuf::CachedSize,
38}
39
40impl<'a> ::std::default::Default for &'a PredictRequest {
41    fn default() -> &'a PredictRequest {
42        <PredictRequest as ::protobuf::Message>::default_instance()
43    }
44}
45
46impl PredictRequest {
47    pub fn new() -> PredictRequest {
48        ::std::default::Default::default()
49    }
50
51    // .tensorflow.serving.ModelSpec model_spec = 1;
52
53
54    pub fn get_model_spec(&self) -> &super::model::ModelSpec {
55        self.model_spec.as_ref().unwrap_or_else(|| super::model::ModelSpec::default_instance())
56    }
57    pub fn clear_model_spec(&mut self) {
58        self.model_spec.clear();
59    }
60
61    pub fn has_model_spec(&self) -> bool {
62        self.model_spec.is_some()
63    }
64
65    // Param is passed by value, moved
66    pub fn set_model_spec(&mut self, v: super::model::ModelSpec) {
67        self.model_spec = ::protobuf::SingularPtrField::some(v);
68    }
69
70    // Mutable pointer to the field.
71    // If field is not initialized, it is initialized with default value first.
72    pub fn mut_model_spec(&mut self) -> &mut super::model::ModelSpec {
73        if self.model_spec.is_none() {
74            self.model_spec.set_default();
75        }
76        self.model_spec.as_mut().unwrap()
77    }
78
79    // Take field
80    pub fn take_model_spec(&mut self) -> super::model::ModelSpec {
81        self.model_spec.take().unwrap_or_else(|| super::model::ModelSpec::new())
82    }
83
84    // repeated .tensorflow.serving.PredictRequest.InputsEntry inputs = 2;
85
86
87    pub fn get_inputs(&self) -> &::std::collections::HashMap<::std::string::String, super::tensor::TensorProto> {
88        &self.inputs
89    }
90    pub fn clear_inputs(&mut self) {
91        self.inputs.clear();
92    }
93
94    // Param is passed by value, moved
95    pub fn set_inputs(&mut self, v: ::std::collections::HashMap<::std::string::String, super::tensor::TensorProto>) {
96        self.inputs = v;
97    }
98
99    // Mutable pointer to the field.
100    pub fn mut_inputs(&mut self) -> &mut ::std::collections::HashMap<::std::string::String, super::tensor::TensorProto> {
101        &mut self.inputs
102    }
103
104    // Take field
105    pub fn take_inputs(&mut self) -> ::std::collections::HashMap<::std::string::String, super::tensor::TensorProto> {
106        ::std::mem::replace(&mut self.inputs, ::std::collections::HashMap::new())
107    }
108
109    // repeated string output_filter = 3;
110
111
112    pub fn get_output_filter(&self) -> &[::std::string::String] {
113        &self.output_filter
114    }
115    pub fn clear_output_filter(&mut self) {
116        self.output_filter.clear();
117    }
118
119    // Param is passed by value, moved
120    pub fn set_output_filter(&mut self, v: ::protobuf::RepeatedField<::std::string::String>) {
121        self.output_filter = v;
122    }
123
124    // Mutable pointer to the field.
125    pub fn mut_output_filter(&mut self) -> &mut ::protobuf::RepeatedField<::std::string::String> {
126        &mut self.output_filter
127    }
128
129    // Take field
130    pub fn take_output_filter(&mut self) -> ::protobuf::RepeatedField<::std::string::String> {
131        ::std::mem::replace(&mut self.output_filter, ::protobuf::RepeatedField::new())
132    }
133}
134
135impl ::protobuf::Message for PredictRequest {
136    fn is_initialized(&self) -> bool {
137        for v in &self.model_spec {
138            if !v.is_initialized() {
139                return false;
140            }
141        };
142        true
143    }
144
145    fn merge_from(&mut self, is: &mut ::protobuf::CodedInputStream<'_>) -> ::protobuf::ProtobufResult<()> {
146        while !is.eof()? {
147            let (field_number, wire_type) = is.read_tag_unpack()?;
148            match field_number {
149                1 => {
150                    ::protobuf::rt::read_singular_message_into(wire_type, is, &mut self.model_spec)?;
151                },
152                2 => {
153                    ::protobuf::rt::read_map_into::<::protobuf::types::ProtobufTypeString, ::protobuf::types::ProtobufTypeMessage<super::tensor::TensorProto>>(wire_type, is, &mut self.inputs)?;
154                },
155                3 => {
156                    ::protobuf::rt::read_repeated_string_into(wire_type, is, &mut self.output_filter)?;
157                },
158                _ => {
159                    ::protobuf::rt::read_unknown_or_skip_group(field_number, wire_type, is, self.mut_unknown_fields())?;
160                },
161            };
162        }
163        ::std::result::Result::Ok(())
164    }
165
166    // Compute sizes of nested messages
167    #[allow(unused_variables)]
168    fn compute_size(&self) -> u32 {
169        let mut my_size = 0;
170        if let Some(ref v) = self.model_spec.as_ref() {
171            let len = v.compute_size();
172            my_size += 1 + ::protobuf::rt::compute_raw_varint32_size(len) + len;
173        }
174        my_size += ::protobuf::rt::compute_map_size::<::protobuf::types::ProtobufTypeString, ::protobuf::types::ProtobufTypeMessage<super::tensor::TensorProto>>(2, &self.inputs);
175        for value in &self.output_filter {
176            my_size += ::protobuf::rt::string_size(3, &value);
177        };
178        my_size += ::protobuf::rt::unknown_fields_size(self.get_unknown_fields());
179        self.cached_size.set(my_size);
180        my_size
181    }
182
183    fn write_to_with_cached_sizes(&self, os: &mut ::protobuf::CodedOutputStream<'_>) -> ::protobuf::ProtobufResult<()> {
184        if let Some(ref v) = self.model_spec.as_ref() {
185            os.write_tag(1, ::protobuf::wire_format::WireTypeLengthDelimited)?;
186            os.write_raw_varint32(v.get_cached_size())?;
187            v.write_to_with_cached_sizes(os)?;
188        }
189        ::protobuf::rt::write_map_with_cached_sizes::<::protobuf::types::ProtobufTypeString, ::protobuf::types::ProtobufTypeMessage<super::tensor::TensorProto>>(2, &self.inputs, os)?;
190        for v in &self.output_filter {
191            os.write_string(3, &v)?;
192        };
193        os.write_unknown_fields(self.get_unknown_fields())?;
194        ::std::result::Result::Ok(())
195    }
196
197    fn get_cached_size(&self) -> u32 {
198        self.cached_size.get()
199    }
200
201    fn get_unknown_fields(&self) -> &::protobuf::UnknownFields {
202        &self.unknown_fields
203    }
204
205    fn mut_unknown_fields(&mut self) -> &mut ::protobuf::UnknownFields {
206        &mut self.unknown_fields
207    }
208
209    fn as_any(&self) -> &dyn (::std::any::Any) {
210        self as &dyn (::std::any::Any)
211    }
212    fn as_any_mut(&mut self) -> &mut dyn (::std::any::Any) {
213        self as &mut dyn (::std::any::Any)
214    }
215    fn into_any(self: Box<Self>) -> ::std::boxed::Box<dyn (::std::any::Any)> {
216        self
217    }
218
219    fn descriptor(&self) -> &'static ::protobuf::reflect::MessageDescriptor {
220        Self::descriptor_static()
221    }
222
223    fn new() -> PredictRequest {
224        PredictRequest::new()
225    }
226
227    fn descriptor_static() -> &'static ::protobuf::reflect::MessageDescriptor {
228        static mut descriptor: ::protobuf::lazy::Lazy<::protobuf::reflect::MessageDescriptor> = ::protobuf::lazy::Lazy::INIT;
229        unsafe {
230            descriptor.get(|| {
231                let mut fields = ::std::vec::Vec::new();
232                fields.push(::protobuf::reflect::accessor::make_singular_ptr_field_accessor::<_, ::protobuf::types::ProtobufTypeMessage<super::model::ModelSpec>>(
233                    "model_spec",
234                    |m: &PredictRequest| { &m.model_spec },
235                    |m: &mut PredictRequest| { &mut m.model_spec },
236                ));
237                fields.push(::protobuf::reflect::accessor::make_map_accessor::<_, ::protobuf::types::ProtobufTypeString, ::protobuf::types::ProtobufTypeMessage<super::tensor::TensorProto>>(
238                    "inputs",
239                    |m: &PredictRequest| { &m.inputs },
240                    |m: &mut PredictRequest| { &mut m.inputs },
241                ));
242                fields.push(::protobuf::reflect::accessor::make_repeated_field_accessor::<_, ::protobuf::types::ProtobufTypeString>(
243                    "output_filter",
244                    |m: &PredictRequest| { &m.output_filter },
245                    |m: &mut PredictRequest| { &mut m.output_filter },
246                ));
247                ::protobuf::reflect::MessageDescriptor::new_pb_name::<PredictRequest>(
248                    "PredictRequest",
249                    fields,
250                    file_descriptor_proto()
251                )
252            })
253        }
254    }
255
256    fn default_instance() -> &'static PredictRequest {
257        static mut instance: ::protobuf::lazy::Lazy<PredictRequest> = ::protobuf::lazy::Lazy::INIT;
258        unsafe {
259            instance.get(PredictRequest::new)
260        }
261    }
262}
263
264impl ::protobuf::Clear for PredictRequest {
265    fn clear(&mut self) {
266        self.model_spec.clear();
267        self.inputs.clear();
268        self.output_filter.clear();
269        self.unknown_fields.clear();
270    }
271}
272
273impl ::std::fmt::Debug for PredictRequest {
274    fn fmt(&self, f: &mut ::std::fmt::Formatter<'_>) -> ::std::fmt::Result {
275        ::protobuf::text_format::fmt(self, f)
276    }
277}
278
279impl ::protobuf::reflect::ProtobufValue for PredictRequest {
280    fn as_ref(&self) -> ::protobuf::reflect::ReflectValueRef {
281        ::protobuf::reflect::ReflectValueRef::Message(self)
282    }
283}
284
285#[derive(PartialEq,Clone,Default)]
286pub struct PredictResponse {
287    // message fields
288    pub model_spec: ::protobuf::SingularPtrField<super::model::ModelSpec>,
289    pub outputs: ::std::collections::HashMap<::std::string::String, super::tensor::TensorProto>,
290    // special fields
291    pub unknown_fields: ::protobuf::UnknownFields,
292    pub cached_size: ::protobuf::CachedSize,
293}
294
295impl<'a> ::std::default::Default for &'a PredictResponse {
296    fn default() -> &'a PredictResponse {
297        <PredictResponse as ::protobuf::Message>::default_instance()
298    }
299}
300
301impl PredictResponse {
302    pub fn new() -> PredictResponse {
303        ::std::default::Default::default()
304    }
305
306    // .tensorflow.serving.ModelSpec model_spec = 2;
307
308
309    pub fn get_model_spec(&self) -> &super::model::ModelSpec {
310        self.model_spec.as_ref().unwrap_or_else(|| super::model::ModelSpec::default_instance())
311    }
312    pub fn clear_model_spec(&mut self) {
313        self.model_spec.clear();
314    }
315
316    pub fn has_model_spec(&self) -> bool {
317        self.model_spec.is_some()
318    }
319
320    // Param is passed by value, moved
321    pub fn set_model_spec(&mut self, v: super::model::ModelSpec) {
322        self.model_spec = ::protobuf::SingularPtrField::some(v);
323    }
324
325    // Mutable pointer to the field.
326    // If field is not initialized, it is initialized with default value first.
327    pub fn mut_model_spec(&mut self) -> &mut super::model::ModelSpec {
328        if self.model_spec.is_none() {
329            self.model_spec.set_default();
330        }
331        self.model_spec.as_mut().unwrap()
332    }
333
334    // Take field
335    pub fn take_model_spec(&mut self) -> super::model::ModelSpec {
336        self.model_spec.take().unwrap_or_else(|| super::model::ModelSpec::new())
337    }
338
339    // repeated .tensorflow.serving.PredictResponse.OutputsEntry outputs = 1;
340
341
342    pub fn get_outputs(&self) -> &::std::collections::HashMap<::std::string::String, super::tensor::TensorProto> {
343        &self.outputs
344    }
345    pub fn clear_outputs(&mut self) {
346        self.outputs.clear();
347    }
348
349    // Param is passed by value, moved
350    pub fn set_outputs(&mut self, v: ::std::collections::HashMap<::std::string::String, super::tensor::TensorProto>) {
351        self.outputs = v;
352    }
353
354    // Mutable pointer to the field.
355    pub fn mut_outputs(&mut self) -> &mut ::std::collections::HashMap<::std::string::String, super::tensor::TensorProto> {
356        &mut self.outputs
357    }
358
359    // Take field
360    pub fn take_outputs(&mut self) -> ::std::collections::HashMap<::std::string::String, super::tensor::TensorProto> {
361        ::std::mem::replace(&mut self.outputs, ::std::collections::HashMap::new())
362    }
363}
364
365impl ::protobuf::Message for PredictResponse {
366    fn is_initialized(&self) -> bool {
367        for v in &self.model_spec {
368            if !v.is_initialized() {
369                return false;
370            }
371        };
372        true
373    }
374
375    fn merge_from(&mut self, is: &mut ::protobuf::CodedInputStream<'_>) -> ::protobuf::ProtobufResult<()> {
376        while !is.eof()? {
377            let (field_number, wire_type) = is.read_tag_unpack()?;
378            match field_number {
379                2 => {
380                    ::protobuf::rt::read_singular_message_into(wire_type, is, &mut self.model_spec)?;
381                },
382                1 => {
383                    ::protobuf::rt::read_map_into::<::protobuf::types::ProtobufTypeString, ::protobuf::types::ProtobufTypeMessage<super::tensor::TensorProto>>(wire_type, is, &mut self.outputs)?;
384                },
385                _ => {
386                    ::protobuf::rt::read_unknown_or_skip_group(field_number, wire_type, is, self.mut_unknown_fields())?;
387                },
388            };
389        }
390        ::std::result::Result::Ok(())
391    }
392
393    // Compute sizes of nested messages
394    #[allow(unused_variables)]
395    fn compute_size(&self) -> u32 {
396        let mut my_size = 0;
397        if let Some(ref v) = self.model_spec.as_ref() {
398            let len = v.compute_size();
399            my_size += 1 + ::protobuf::rt::compute_raw_varint32_size(len) + len;
400        }
401        my_size += ::protobuf::rt::compute_map_size::<::protobuf::types::ProtobufTypeString, ::protobuf::types::ProtobufTypeMessage<super::tensor::TensorProto>>(1, &self.outputs);
402        my_size += ::protobuf::rt::unknown_fields_size(self.get_unknown_fields());
403        self.cached_size.set(my_size);
404        my_size
405    }
406
407    fn write_to_with_cached_sizes(&self, os: &mut ::protobuf::CodedOutputStream<'_>) -> ::protobuf::ProtobufResult<()> {
408        if let Some(ref v) = self.model_spec.as_ref() {
409            os.write_tag(2, ::protobuf::wire_format::WireTypeLengthDelimited)?;
410            os.write_raw_varint32(v.get_cached_size())?;
411            v.write_to_with_cached_sizes(os)?;
412        }
413        ::protobuf::rt::write_map_with_cached_sizes::<::protobuf::types::ProtobufTypeString, ::protobuf::types::ProtobufTypeMessage<super::tensor::TensorProto>>(1, &self.outputs, os)?;
414        os.write_unknown_fields(self.get_unknown_fields())?;
415        ::std::result::Result::Ok(())
416    }
417
418    fn get_cached_size(&self) -> u32 {
419        self.cached_size.get()
420    }
421
422    fn get_unknown_fields(&self) -> &::protobuf::UnknownFields {
423        &self.unknown_fields
424    }
425
426    fn mut_unknown_fields(&mut self) -> &mut ::protobuf::UnknownFields {
427        &mut self.unknown_fields
428    }
429
430    fn as_any(&self) -> &dyn (::std::any::Any) {
431        self as &dyn (::std::any::Any)
432    }
433    fn as_any_mut(&mut self) -> &mut dyn (::std::any::Any) {
434        self as &mut dyn (::std::any::Any)
435    }
436    fn into_any(self: Box<Self>) -> ::std::boxed::Box<dyn (::std::any::Any)> {
437        self
438    }
439
440    fn descriptor(&self) -> &'static ::protobuf::reflect::MessageDescriptor {
441        Self::descriptor_static()
442    }
443
444    fn new() -> PredictResponse {
445        PredictResponse::new()
446    }
447
448    fn descriptor_static() -> &'static ::protobuf::reflect::MessageDescriptor {
449        static mut descriptor: ::protobuf::lazy::Lazy<::protobuf::reflect::MessageDescriptor> = ::protobuf::lazy::Lazy::INIT;
450        unsafe {
451            descriptor.get(|| {
452                let mut fields = ::std::vec::Vec::new();
453                fields.push(::protobuf::reflect::accessor::make_singular_ptr_field_accessor::<_, ::protobuf::types::ProtobufTypeMessage<super::model::ModelSpec>>(
454                    "model_spec",
455                    |m: &PredictResponse| { &m.model_spec },
456                    |m: &mut PredictResponse| { &mut m.model_spec },
457                ));
458                fields.push(::protobuf::reflect::accessor::make_map_accessor::<_, ::protobuf::types::ProtobufTypeString, ::protobuf::types::ProtobufTypeMessage<super::tensor::TensorProto>>(
459                    "outputs",
460                    |m: &PredictResponse| { &m.outputs },
461                    |m: &mut PredictResponse| { &mut m.outputs },
462                ));
463                ::protobuf::reflect::MessageDescriptor::new_pb_name::<PredictResponse>(
464                    "PredictResponse",
465                    fields,
466                    file_descriptor_proto()
467                )
468            })
469        }
470    }
471
472    fn default_instance() -> &'static PredictResponse {
473        static mut instance: ::protobuf::lazy::Lazy<PredictResponse> = ::protobuf::lazy::Lazy::INIT;
474        unsafe {
475            instance.get(PredictResponse::new)
476        }
477    }
478}
479
480impl ::protobuf::Clear for PredictResponse {
481    fn clear(&mut self) {
482        self.model_spec.clear();
483        self.outputs.clear();
484        self.unknown_fields.clear();
485    }
486}
487
488impl ::std::fmt::Debug for PredictResponse {
489    fn fmt(&self, f: &mut ::std::fmt::Formatter<'_>) -> ::std::fmt::Result {
490        ::protobuf::text_format::fmt(self, f)
491    }
492}
493
494impl ::protobuf::reflect::ProtobufValue for PredictResponse {
495    fn as_ref(&self) -> ::protobuf::reflect::ReflectValueRef {
496        ::protobuf::reflect::ReflectValueRef::Message(self)
497    }
498}
499
500static file_descriptor_proto_data: &'static [u8] = b"\
501    \n%tensorflow_serving/apis/predict.proto\x12\x12tensorflow.serving\x1a&t\
502    ensorflow/core/framework/tensor.proto\x1a#tensorflow_serving/apis/model.\
503    proto\"\x8f\x02\n\x0ePredictRequest\x12<\n\nmodel_spec\x18\x01\x20\x01(\
504    \x0b2\x1d.tensorflow.serving.ModelSpecR\tmodelSpec\x12F\n\x06inputs\x18\
505    \x02\x20\x03(\x0b2..tensorflow.serving.PredictRequest.InputsEntryR\x06in\
506    puts\x12#\n\routput_filter\x18\x03\x20\x03(\tR\x0coutputFilter\x1aR\n\
507    \x0bInputsEntry\x12\x10\n\x03key\x18\x01\x20\x01(\tR\x03key\x12-\n\x05va\
508    lue\x18\x02\x20\x01(\x0b2\x17.tensorflow.TensorProtoR\x05value:\x028\x01\
509    \"\xf0\x01\n\x0fPredictResponse\x12<\n\nmodel_spec\x18\x02\x20\x01(\x0b2\
510    \x1d.tensorflow.serving.ModelSpecR\tmodelSpec\x12J\n\x07outputs\x18\x01\
511    \x20\x03(\x0b20.tensorflow.serving.PredictResponse.OutputsEntryR\x07outp\
512    uts\x1aS\n\x0cOutputsEntry\x12\x10\n\x03key\x18\x01\x20\x01(\tR\x03key\
513    \x12-\n\x05value\x18\x02\x20\x01(\x0b2\x17.tensorflow.TensorProtoR\x05va\
514    lue:\x028\x01B\x03\xf8\x01\x01J\xf3\n\n\x06\x12\x04\0\0'\x01\n\x08\n\x01\
515    \x0c\x12\x03\0\0\x12\n\x08\n\x01\x02\x12\x03\x02\0\x1b\n\x08\n\x01\x08\
516    \x12\x03\x03\0\x1f\n\t\n\x02\x08\x1f\x12\x03\x03\0\x1f\n\t\n\x02\x03\0\
517    \x12\x03\x05\00\n\t\n\x02\x03\x01\x12\x03\x06\0-\n\xab\x01\n\x02\x04\0\
518    \x12\x04\x0b\0\x1e\x01\x1a\x9e\x01\x20PredictRequest\x20specifies\x20whi\
519    ch\x20TensorFlow\x20model\x20to\x20run,\x20as\x20well\x20as\n\x20how\x20\
520    inputs\x20are\x20mapped\x20to\x20tensors\x20and\x20how\x20outputs\x20are\
521    \x20filtered\x20before\n\x20returning\x20to\x20user.\n\n\n\n\x03\x04\0\
522    \x01\x12\x03\x0b\x08\x16\nj\n\x04\x04\0\x02\0\x12\x03\x0e\x02\x1b\x1a]\
523    \x20Model\x20Specification.\x20If\x20version\x20is\x20not\x20specified,\
524    \x20will\x20use\x20the\x20latest\n\x20(numerical)\x20version.\n\n\x0c\n\
525    \x05\x04\0\x02\0\x06\x12\x03\x0e\x02\x0b\n\x0c\n\x05\x04\0\x02\0\x01\x12\
526    \x03\x0e\x0c\x16\n\x0c\n\x05\x04\0\x02\0\x03\x12\x03\x0e\x19\x1a\n\xd6\
527    \x01\n\x04\x04\0\x02\x01\x12\x03\x14\x02&\x1a\xc8\x01\x20Input\x20tensor\
528    s.\n\x20Names\x20of\x20input\x20tensor\x20are\x20alias\x20names.\x20The\
529    \x20mapping\x20from\x20aliases\x20to\x20real\n\x20input\x20tensor\x20nam\
530    es\x20is\x20stored\x20in\x20the\x20SavedModel\x20export\x20as\x20a\x20pr\
531    ediction\n\x20SignatureDef\x20under\x20the\x20'inputs'\x20field.\n\n\x0c\
532    \n\x05\x04\0\x02\x01\x06\x12\x03\x14\x02\x1a\n\x0c\n\x05\x04\0\x02\x01\
533    \x01\x12\x03\x14\x1b!\n\x0c\n\x05\x04\0\x02\x01\x03\x12\x03\x14$%\n\x92\
534    \x03\n\x04\x04\0\x02\x02\x12\x03\x1d\x02$\x1a\x84\x03\x20Output\x20filte\
535    r.\n\x20Names\x20specified\x20are\x20alias\x20names.\x20The\x20mapping\
536    \x20from\x20aliases\x20to\x20real\x20output\n\x20tensor\x20names\x20is\
537    \x20stored\x20in\x20the\x20SavedModel\x20export\x20as\x20a\x20prediction\
538    \n\x20SignatureDef\x20under\x20the\x20'outputs'\x20field.\n\x20Only\x20t\
539    ensors\x20specified\x20here\x20will\x20be\x20run/fetched\x20and\x20retur\
540    ned,\x20with\x20the\n\x20exception\x20that\x20when\x20none\x20is\x20spec\
541    ified,\x20all\x20tensors\x20specified\x20in\x20the\n\x20named\x20signatu\
542    re\x20will\x20be\x20run/fetched\x20and\x20returned.\n\n\x0c\n\x05\x04\0\
543    \x02\x02\x04\x12\x03\x1d\x02\n\n\x0c\n\x05\x04\0\x02\x02\x05\x12\x03\x1d\
544    \x0b\x11\n\x0c\n\x05\x04\0\x02\x02\x01\x12\x03\x1d\x12\x1f\n\x0c\n\x05\
545    \x04\0\x02\x02\x03\x12\x03\x1d\"#\n<\n\x02\x04\x01\x12\x04!\0'\x01\x1a0\
546    \x20Response\x20for\x20PredictRequest\x20on\x20successful\x20run.\n\n\n\
547    \n\x03\x04\x01\x01\x12\x03!\x08\x17\nL\n\x04\x04\x01\x02\0\x12\x03#\x02\
548    \x1b\x1a?\x20Effective\x20Model\x20Specification\x20used\x20to\x20proces\
549    s\x20PredictRequest.\n\n\x0c\n\x05\x04\x01\x02\0\x06\x12\x03#\x02\x0b\n\
550    \x0c\n\x05\x04\x01\x02\0\x01\x12\x03#\x0c\x16\n\x0c\n\x05\x04\x01\x02\0\
551    \x03\x12\x03#\x19\x1a\n\x1e\n\x04\x04\x01\x02\x01\x12\x03&\x02'\x1a\x11\
552    \x20Output\x20tensors.\n\n\x0c\n\x05\x04\x01\x02\x01\x06\x12\x03&\x02\
553    \x1a\n\x0c\n\x05\x04\x01\x02\x01\x01\x12\x03&\x1b\"\n\x0c\n\x05\x04\x01\
554    \x02\x01\x03\x12\x03&%&b\x06proto3\
555";
556
557static mut file_descriptor_proto_lazy: ::protobuf::lazy::Lazy<::protobuf::descriptor::FileDescriptorProto> = ::protobuf::lazy::Lazy::INIT;
558
559fn parse_descriptor_proto() -> ::protobuf::descriptor::FileDescriptorProto {
560    ::protobuf::parse_from_bytes(file_descriptor_proto_data).unwrap()
561}
562
563pub fn file_descriptor_proto() -> &'static ::protobuf::descriptor::FileDescriptorProto {
564    unsafe {
565        file_descriptor_proto_lazy.get(|| {
566            parse_descriptor_proto()
567        })
568    }
569}
tensorflow_serving_client/predict.rs

tensorflow_serving_client/
predict.rs
