| /external/ltp/testcases/open_posix_testsuite/stress/threads/sem_getvalue/ |
| testfrmw.c | 24 * void output(char * string, ...)
26 * The are used to output informative text (as a printf).
38 /* The following functions will output to stdout */
46 void output(char *string, ...) function
|
| /external/ltp/testcases/open_posix_testsuite/stress/threads/sem_init/ |
| testfrmw.c | 24 * void output(char * string, ...)
26 * The are used to output informative text (as a printf).
38 /* The following functions will output to stdout */
46 void output(char *string, ...) function
|
| /external/ltp/testcases/open_posix_testsuite/stress/threads/sem_open/ |
| testfrmw.c | 24 * void output(char * string, ...)
26 * The are used to output informative text (as a printf).
38 /* The following functions will output to stdout */
46 void output(char *string, ...) function
|
| /external/mesa3d/src/util/ |
| roundeven_test.c | 72 float output = _mesa_roundevenf(float_data[i].input); local
73 if (memcmp(&float_data[i].expected, &output, sizeof(float))) {
81 output,
82 output);
89 float output = _mesa_roundevenf(-float_data[i].input); local
91 if (memcmp(&negated_expected, &output, sizeof(float))) {
99 output,
100 output);
106 double output = _mesa_roundeven(double_data[i].input); local
107 if (memcmp(&double_data[i].expected, &output, sizeof(double)))
123 double output = _mesa_roundeven(-double_data[i].input); local
[all...] |
| /external/perf_data_converter/src/ |
| perf_to_profile.cc | 14 string input, output; local
16 if (!ParseArguments(argc, const_cast<const char**>(argv), &input, &output,
35 CreateFile(output, &outFile, overwriteOutput);
|
| /external/perf_data_converter/src/quipper/ |
| conversion_utils_test.cc | 25 FormatAndFile input, output; local
29 output.filename = output_path + test_file + ".pb_text";
30 output.format = kProtoTextFormat;
31 EXPECT_TRUE(ConvertFile(input, output));
35 LOG(INFO) << "output: " << output.filename;
37 CompareTextProtoFiles<PerfDataProto>(output.filename, golden_file);
|
| perf_protobuf_io.cc | 44 string output; local
45 perf_data_proto.SerializeToString(&output);
47 return BufferToFile(filename, output);
|
| /external/selinux/python/sepolicy/sepolicy/ |
| transition.py | 82 def output(self): member in class:setrans
|
| /external/skia/tests/ |
| SkSLFPTest.cpp | 19 SkSL::StringStream output; local
29 bool success = compiler.toH(*program, "Test", output);
36 bool found = strstr(output.str().c_str(), expected);
39 expected, output.str().c_str());
44 output.reset();
45 success = compiler.toCPP(*program, "Test", output);
52 bool found = strstr(output.str().c_str(), expected);
55 expected, output.str().c_str());
|
| /external/skqp/tests/ |
| SkSLFPTest.cpp | 19 SkSL::StringStream output; local
29 bool success = compiler.toH(*program, "Test", output);
36 bool found = strstr(output.str().c_str(), expected);
39 expected, output.str().c_str());
44 output.reset();
45 success = compiler.toCPP(*program, "Test", output);
52 bool found = strstr(output.str().c_str(), expected);
55 expected, output.str().c_str());
|
| /external/swiftshader/third_party/LLVM/utils/ |
| DSAextract.py | 10 #on DSA dot output and not general dot files this is ok.
14 #DSA dot output files)
81 #open the output file
82 output = open(sys.argv[2], 'w') variable
97 #if they are print this to output
103 output.write(buffer)
107 output.write(buffer)
109 output.write(buffer)
|
| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| cast_op.cc | 38 xla::ComputationDataHandle output; variable
41 output = input;
43 output = builder->Ne(input, XlaHelpers::Zero(builder, src_dtype_));
48 output = builder->ConvertElementType(builder->Real(input), dst_type_);
50 output = builder->ConvertElementType(input, dst_type_);
53 ctx->SetOutput(0, output);
|
| /external/tensorflow/tensorflow/core/kernels/ |
| base64_ops.cc | 40 auto output = output_tensor->flat<string>(); variable
43 OP_REQUIRES_OK(context, Base64Encode(input(i), pad_, &output(i)));
65 auto output = output_tensor->flat<string>(); variable
68 OP_REQUIRES_OK(context, Base64Decode(input(i), &output(i)));
|
| encode_wav_op.cc | 55 Tensor* output = nullptr; variable
57 context->allocate_output(0, TensorShape({}), &output));
61 sample_count, &output->scalar<string>()()));
|
| l2loss_op.cc | 40 // The output is a single number.
41 Tensor* output = nullptr; variable
43 context->allocate_output(0, TensorShape({}), &output));
45 output->scalar<T>().device(d) =
|
| matching_files_op.cc | 56 auto output = output_t->vec<string>(); variable
60 output(index++) = all_fnames[i][j];
|
| mfcc_mel_filterbank_test.cc | 41 std::vector<double> output; local
42 filterbank.Compute(input, &output);
50 ASSERT_EQ(output.size(), kChannelCount);
53 EXPECT_NEAR(output[i], expected[i], 1e-04);
58 // Test for bug where the output vector was not cleared before
64 std::vector<double> output; local
70 // First call with nonzero input value, and an empty output vector,
71 // will resize the output and fill it with the correct, nonzero outputs.
73 filterbank.Compute(input, &output);
74 for (const double value : output) {
[all...] |
| mfcc_test.cc | 36 std::vector<double> output; local
37 mfcc.Compute(input, &output);
44 ASSERT_EQ(expected.size(), output.size());
45 for (int i = 0; i < output.size(); ++i) {
46 EXPECT_NEAR(output[i], expected[i], 1e-04);
61 std::vector<double> output; local
62 mfcc.Compute(input, &output);
65 ASSERT_EQ(expected_size, output.size());
66 for (const double value : output) {
85 std::vector<double> output; local
[all...] |
| ops_testutil.cc | 46 Tensor* output = context_->mutable_output(output_index); local
50 // Copy the output tensor to managed memory if we haven't done so.
53 new Tensor(allocator(), output->dtype(), output->shape());
54 auto src = output->tensor_data();
61 output = managed_outputs_[output_index];
64 return output;
|
| snapshot_op.h | 37 Tensor* output = nullptr; variable
40 {0}, 0, input.shape(), &output));
41 if (!output->SharesBufferWith(input)) {
45 device.memcpy(output->template flat<Scalar>().data(),
|
| /external/tensorflow/tensorflow/core/util/ |
| stat_summarizer_test.cc | 77 const std::string output = stats.GetOutputString(); local
80 // output should contain both the node type and node name.
81 ASSERT_TRUE(output.find("Const") != std::string::npos) << output;
82 ASSERT_TRUE(output.find("myconstant") != std::string::npos) << output;
|
| /external/tensorflow/tensorflow/examples/adding_an_op/ |
| zero_out_op_kernel_2.cc | 27 .Output("zeroed: T")
39 .Output("zeroed: T")
50 .Output("zeroed: T")
68 // Create an output tensor
69 Tensor* output = nullptr; variable
71 context->allocate_output(0, input_tensor.shape(), &output));
72 auto output_flat = output->template flat<T>();
74 // Set all the elements of the output tensor to 0
|
| zero_out_op_kernel_3.cc | 25 .Output("zeroed: int32")
52 // Create an output tensor
56 auto output = output_tensor->template flat<int32>(); variable
58 // Set all the elements of the output tensor to 0
61 output(i) = 0;
65 output(preserve_index_) = input(preserve_index_);
|
| /external/tensorflow/tensorflow/java/src/main/java/org/tensorflow/op/core/ |
| Constant.java | 26 import org.tensorflow.Output;
164 public Output<T> asOutput() {
165 return output;
170 output = operation.output(0);
173 private final Output<T> output; field in class:Constant
|
| /external/testng/src/test/java/test/reports/ |
| ReporterLogTest.java | 21 List<String> output = Reporter.getOutput(); local
23 for(String s : output) {
30 // System.out.println(output);
|
