| /external/ltp/testcases/open_posix_testsuite/stress/threads/pthread_exit/ |
| D | stress.c | 146 int rets[NSCENAR * SCALABILITY_FACTOR * FACTOR]; in main() local
176 rets[i * NSCENAR + sc] = in main()
182 if (rets[i * NSCENAR + sc] != 0) { in main()
183 UNRESOLVED(rets in main()
190 if (rets[i * NSCENAR + sc] == 0) { in main()
199 if (rets[i * NSCENAR + sc] == 0) { in main()
205 strerror(rets in main()
212 if (rets[i * NSCENAR + sc] == 0) { in main()
232 && (rets[i * NSCENAR + sc] == 0)) { in main()
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| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| D | function_ops.cc | 85 std::vector<Tensor>* rets = new std::vector<Tensor>; in ComputeAsync() local
87 opts, handle_, args, rets, [ctx, done, rets](const Status& status) { in ComputeAsync()
90 } else if (rets->size() != ctx->num_outputs()) { in ComputeAsync()
93 " tensor(s), but get ", rets->size(), " tensor(s) instead.")); in ComputeAsync()
95 for (size_t i = 0; i < rets->size(); ++i) { in ComputeAsync()
96 ctx->set_output(i, (*rets)[i]); in ComputeAsync()
99 delete rets; in ComputeAsync()
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | function_ops.cc | 264 std::vector<Tensor>* rets = new std::vector<Tensor>; in ComputeAsync() local
265 lib->Run(opts, handle, args, rets, [ctx, done, rets](const Status& status) { in ComputeAsync()
268 } else if (rets->size() != ctx->num_outputs()) { in ComputeAsync()
271 " tensor(s), but get ", rets->size(), " tensor(s) instead.")); in ComputeAsync()
273 for (size_t i = 0; i < rets->size(); ++i) { in ComputeAsync()
274 ctx->set_output(i, (*rets)[i]); in ComputeAsync()
277 delete rets; in ComputeAsync()
376 auto* rets = new std::vector<Tensor>; in ComputeAsync() local
381 lib->Run(opts, handle, args, rets, in ComputeAsync()
382 [rets, activity, done, ctx](const Status& status) { in ComputeAsync()
[all …]
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| D | quantization_utils_test.cc | 751 int64_t rets[2]; in TestDivide64x2Pow() local
752 vst1q_s64(rets, ret); in TestDivide64x2Pow()
753 EXPECT_EQ(rets[0], ref); in TestDivide64x2Pow()
754 EXPECT_EQ(rets[1], ref); in TestDivide64x2Pow()
763 int64_t rets[2]; in TestDivide64x2PowRound() local
764 vst1q_s64(rets, shifted); in TestDivide64x2PowRound()
765 EXPECT_EQ(rets[0], ref) << "in = " << val << ", " << POW in TestDivide64x2PowRound()
766 << ", act = " << rets[0] << ", ref = " << ref; in TestDivide64x2PowRound()
767 EXPECT_EQ(rets[1], ref); in TestDivide64x2PowRound()
768 VLOG(1) << "div round: " << val << ", " << rets[0]; in TestDivide64x2PowRound()
[all …]
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| D | partitioned_function_ops.cc | 231 std::vector<Tensor>* rets = new std::vector<Tensor>; in RunFunction() local
233 lib->Run(run_opts, handle, inputs, rets, in RunFunction()
234 [rets, rendez, done, ctx, func_name](const Status& status) { in RunFunction()
241 for (int i = 0; i < rets->size(); ++i) { in RunFunction()
242 ctx->set_output(i, (*rets)[i]); in RunFunction()
245 delete rets; in RunFunction()
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| D | functional_ops.cc | 99 gtl::ArraySlice<Tensor> rets) { in SetOutputs() argument
100 if (rets.size() != ctx->num_outputs()) { in SetOutputs()
102 " tensors, but only get ", rets.size()); in SetOutputs()
104 for (int i = 0; i < rets.size(); ++i) { in SetOutputs()
105 if (rets[i].dtype() != kernel->output_type(i)) { in SetOutputs()
108 " but get ", DataTypeString(rets[i].dtype())); in SetOutputs()
110 ctx->set_output(i, rets[i]); in SetOutputs()
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| /external/tensorflow/tensorflow/core/common_runtime/ |
| D | function_threadpool_test.cc | 74 const std::vector<Tensor>& args, std::vector<Tensor*> rets, in Run() argument
98 CHECK_EQ(rets.size(), out.size()); in Run()
99 for (size_t i = 0; i < rets.size(); ++i) { in Run()
100 *rets[i] = out[i]; in Run()
126 std::vector<Tensor*> rets, bool add_runner = true) { in InstantiateAndRun() argument
129 std::move(rets), add_runner); in InstantiateAndRun()
136 const std::vector<Tensor>& args, std::vector<Tensor*> rets, in InstantiateAndRun() argument
144 status = Run(flr, handle, opts, args, rets, add_runner); in InstantiateAndRun()
151 Status status2 = Run(flr, handle, opts, args, std::move(rets)); in InstantiateAndRun()
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| D | function.cc | 183 std::vector<Tensor>* rets, DoneCallback done) override;
238 std::vector<Tensor>* rets, in Run() argument
240 base_flr_->Run(opts, handle, args, rets, std::move(done)); in Run()
328 std::vector<Tensor>* rets, DoneCallback done) override;
414 gtl::ArraySlice<Tensor> args, std::vector<Tensor>* rets,
495 std::vector<Tensor>* rets = new std::vector<Tensor>; in ComputeAsync() local
496 lib->Run(opts, handle_, args, rets, in ComputeAsync()
497 [ctx, done, rets](const Status& status) { in ComputeAsync()
501 const int ret_size = static_cast<int>(rets->size()); in ComputeAsync()
504 ctx->set_output(i, (*rets)[i]); in ComputeAsync()
[all …]
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| D | process_function_library_runtime.cc | 738 std::vector<Tensor>* rets, in RunMultiDevice() argument
785 rets->resize(data->num_outputs_); in RunMultiDevice()
788 [comp_rets, rets, comp_data, refcounted_done](const Status& status) { in RunMultiDevice()
794 (*rets)[comp_data.ret_indices_[i]] = (*comp_rets)[i]; in RunMultiDevice()
912 std::vector<Tensor>* rets, in Run() argument
920 return RunMultiDevice(opts, handle, args, rets, done); in Run()
978 rets](const Status& status, in Run()
991 rendezvous, rets, std::move(done)); in Run()
997 parent_->Run(opts, local_handle, args, rets, std::move(done)); in Run()
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| D | function_test.cc | 104 void Run(const std::vector<Tensor>& args, std::vector<Tensor*> rets) { in Run() argument
113 CHECK_EQ(computed.size(), rets.size()); in Run()
114 for (int i = 0; i < rets.size(); ++i) { in Run()
115 *(rets[i]) = computed[i]; in Run()
171 const std::vector<Tensor>& args, std::vector<Tensor*> rets, in Run() argument
195 CHECK_EQ(rets.size(), out.size()); in Run()
196 for (size_t i = 0; i < rets.size(); ++i) { in Run()
197 *rets[i] = out[i]; in Run()
223 std::vector<Tensor*> rets, bool add_runner = true) { in InstantiateAndRun() argument
226 std::move(rets), add_runner); in InstantiateAndRun()
[all …]
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| D | process_function_library_runtime_test.cc | 58 gtl::ArraySlice<Tensor> args, std::vector<Tensor>* rets, in Run() argument
157 const std::vector<Tensor>& args, std::vector<Tensor*> rets) { in Run() argument
183 CHECK_EQ(rets.size(), out.size()); in Run()
184 for (size_t i = 0; i < rets.size(); ++i) { in Run()
185 *rets[i] = out[i]; in Run()
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| D | process_function_library_runtime.h | 137 std::vector<Tensor>* rets,
248 gtl::ArraySlice<Tensor> args, std::vector<Tensor>* rets,
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| /external/tensorflow/tensorflow/core/kernels/data/ |
| D | captured_function.h | 58 std::vector<Tensor>* rets) const;
65 std::vector<Tensor>* rets) const;
73 std::vector<Tensor>* rets);
80 std::vector<Tensor>* rets,
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| D | captured_function.cc | 302 std::vector<Tensor>* rets) const { in Run()
333 return frame.ConsumeRetvals(rets); in Run()
338 std::vector<Tensor>* rets) const { in RunWithBorrowedArgs()
370 return frame.ConsumeRetvals(rets); in RunWithBorrowedArgs()
374 const std::vector<Tensor>& args, std::vector<Tensor>* rets) { in RunInstantiated() argument
406 return frame.ConsumeRetvals(rets); in RunInstantiated()
410 IteratorContext* ctx, std::vector<Tensor>&& args, std::vector<Tensor>* rets, in RunAsync() argument
445 [this, rets, step_container, c_mgr, frame]( in RunAsync()
456 s = frame->ConsumeRetvals(rets); in RunAsync()
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| /external/tensorflow/tensorflow/core/distributed_runtime/ |
| D | cluster_function_library_runtime_test.cc | 72 const std::vector<Tensor>& args, std::vector<Tensor*> rets) { in InstantiateAndRun() argument
90 CHECK_EQ(rets.size(), out.size()); in InstantiateAndRun()
91 for (size_t i = 0; i < rets.size(); ++i) { in InstantiateAndRun()
92 *rets[i] = out[i]; in InstantiateAndRun()
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| D | cluster_function_library_runtime.cc | 169 std::vector<Tensor>* rets, FunctionLibraryRuntime::DoneCallback done) { in Run() argument
207 [call_options, req, resp, rets, recv_keys, done](const Status& status) { in Run()
231 rets->push_back(t); in Run()
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| /external/python/cpython2/Lib/ |
| D | poplib.py | 206 rets = retval.split()
207 if self._debugging: print '*stat*', repr(rets)
208 numMessages = int(rets[1])
209 sizeMessages = int(rets[2])
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| /external/python/cpython3/Lib/ |
| D | poplib.py | 222 rets = retval.split()
223 if self._debugging: print('*stat*', repr(rets))
224 numMessages = int(rets[1])
225 sizeMessages = int(rets[2])
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| /external/libxml2/ |
| D | gentest.py | 525 rets = ctxt.xpathEval("/api/symbols/function/return") variable
526 for ret in rets:
703 rets = node.xpathEval("return")
705 rets = []
707 for ret in rets:
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| /external/tensorflow/tensorflow/core/framework/ |
| D | function_test.cc | 915 std::vector<Tensor> rets; in TEST() local
916 TF_EXPECT_OK(frame.GetRetvals(&rets)); in TEST()
917 EXPECT_EQ(rets.size(), 0); in TEST()
944 std::vector<Tensor> rets; in TEST() local
945 HasError(frame.GetRetvals(&rets), "does not have value"); in TEST()
949 TF_EXPECT_OK(frame.GetRetvals(&rets)); in TEST()
950 EXPECT_EQ(rets.size(), 1); in TEST()
951 test::ExpectTensorEqual<float>(rets[0], v); in TEST()
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| D | function.h | 282 Status GetRetvals(std::vector<Tensor>* rets) const;
286 Status ConsumeRetvals(std::vector<Tensor>* rets, bool allow_dead_tensors);
644 gtl::ArraySlice<Tensor> args, std::vector<Tensor>* rets,
737 gtl::ArraySlice<Tensor> args, std::vector<Tensor>* rets,
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| /external/llvm/test/CodeGen/Mips/Fast-ISel/ |
| D | retabi.ll | 39 define signext i16 @rets() {
41 ; CHECK-LABEL: rets:
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| /external/swiftshader/third_party/llvm-7.0/llvm/test/CodeGen/Mips/Fast-ISel/ |
| D | retabi.ll | 39 define signext i16 @rets() {
41 ; CHECK-LABEL: rets:
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| /external/v8/src/compiler/ |
| D | wasm-compiler.h | 215 Node* CallDirect(uint32_t index, Node** args, Node*** rets,
217 Node* CallIndirect(uint32_t index, Node** args, Node*** rets,
370 Node* BuildWasmCall(wasm::FunctionSig* sig, Node** args, Node*** rets,
373 Node* BuildImportWasmCall(wasm::FunctionSig* sig, Node** args, Node*** rets,
375 Node* BuildImportWasmCall(wasm::FunctionSig* sig, Node** args, Node*** rets,
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| /external/tensorflow/tensorflow/contrib/recurrent/python/ops/ |
| D | recurrent.py | 233 rets = []
236 rets.append(array_ops.zeros_like(x))
238 rets.append(dx)
240 return nest.pack_sequence_as(dxs, rets)
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