| /external/llvm/lib/ObjectYAML/ |
| YAML.cpp | 22 void yaml::ScalarTraits<yaml::BinaryRef>::output( function in class:yaml::ScalarTraits
|
| /external/ltp/testcases/open_posix_testsuite/stress/threads/pthread_cond_init/ |
| testfrmw.c | 24 * void output(char * string, ...)
26 * The are used to output informative text (as a printf).
35 /* The following functions will output to stdout */
43 void output(char *string, ...) function
|
| /external/ltp/testcases/open_posix_testsuite/stress/threads/pthread_cond_timedwait/ |
| testfrmw.c | 24 * void output(char * string, ...)
26 * The are used to output informative text (as a printf).
35 /* The following functions will output to stdout */
43 void output(char *string, ...) function
|
| /external/ltp/testcases/open_posix_testsuite/stress/threads/pthread_mutex_init/ |
| testfrmw.c | 24 * void output(char * string, ...)
26 * The are used to output informative text (as a printf).
35 /* The following functions will output to stdout */
43 void output(char *string, ...) function
|
| /external/ltp/testcases/open_posix_testsuite/stress/threads/pthread_mutex_lock/ |
| testfrmw.c | 24 * void output(char * string, ...)
26 * The are used to output informative text (as a printf).
35 /* The following functions will output to stdout */
43 void output(char *string, ...) function
|
| /external/pdfium/fxjs/xfa/ |
| cjx_operation.cpp | 21 void CJX_Operation::output(CFXJSE_Value* pValue, function in class:CJX_Operation
|
| /external/perf_data_converter/src/quipper/ |
| run_command_test.cc | 15 std::vector<char> output; local
16 EXPECT_EQ(0, RunCommand({"/bin/sh", "-c", "echo 'Hello, world!'"}, &output));
17 string output_str(output.begin(), output.end());
22 std::vector<char> output; local
23 EXPECT_EQ(0, RunCommand({"sh", "-c", "echo 'Hello, world!'"}, &output));
24 string output_str(output.begin(), output.end());
29 std::vector<char> output; local
31 RunCommand({"dd", "if=/dev/zero", "bs=5", "count=4096"}, &output));
43 std::vector<char> output; local
50 std::vector<char> output; local
[all...] |
| /external/perfetto/src/ftrace_reader/ |
| format_parser_unittest.cc | 42 FtraceEvent output; local
44 EXPECT_TRUE(ParseFtraceEvent(input, &output));
45 EXPECT_EQ(output.name, "the_name");
46 EXPECT_EQ(output.id, 42u);
48 output.fields,
53 output.common_fields,
|
| /external/tensorflow/tensorflow/contrib/lite/toco/graph_transformations/ |
| remove_final_dequantize_op.cc | 34 const auto& output = dequantize_op->outputs[0]; local
35 // We can remove any dequantize op whose output is not consumed by
36 // any op. This is not necessarily equivalent to the output being
37 // one of the model's output arrays, as some intermediate array
38 // in the middle of the graph might be designated as an output
40 if (CountOpsWithInput(*model, output)) {
44 // If one of the model's output arrays was actually the Dequantize op's
45 // output, then we need to update it to point to the Dequantize op's input.
47 if (output == model->flags.output_arrays(i)) {
52 // Remove the node and its output array
[all...] |
| /external/tensorflow/tensorflow/core/kernels/ |
| guarantee_const_op.cc | 33 Tensor* output = nullptr; variable
35 &output)) {
|
| identity_n_op.h | 29 OpOutputList output; variable
31 OP_REQUIRES_OK(context, context->output_list("output", &output));
32 OP_REQUIRES(context, input.size() == output.size(),
33 errors::InvalidArgument("Input and output counts must match"));
35 output.set(i, input[i]);
|
| /external/webrtc/webrtc/common_audio/signal_processing/ |
| filter_ar_fast_q12.c | 28 int32_t output = 0; local
35 output = coefficients[0] * data_in[i];
36 output -= sum;
38 // Saturate and store the output.
39 output = WEBRTC_SPL_SAT(134215679, output, -134217728);
40 data_out[i] = (int16_t)((output + 2048) >> 12);
|
| /external/webrtc/webrtc/test/fuzzers/ |
| audio_decoder_isac_fuzzer.cc | 19 int16_t output[kAllocatedOuputSizeSamples]; local
20 FuzzAudioDecoder(data, size, &dec, sample_rate_hz, sizeof(output), output);
|
| audio_decoder_isacfix_fuzzer.cc | 19 int16_t output[kAllocatedOuputSizeSamples]; local
20 FuzzAudioDecoder(data, size, &dec, kSampleRateHz, sizeof(output), output);
|
| /external/webrtc/webrtc/test/testsupport/ |
| perf_test_unittest.cc | 22 std::string output; local
23 AppendResult(output, "measurement", "modifier", "trace", 42, "units", false);
24 EXPECT_EQ(expected, output);
25 std::cout << output; local
28 AppendResult(output, "foo", "bar", "baz", 7, "widgets", true);
29 EXPECT_EQ(expected, output);
30 std::cout << output; local
|
| /frameworks/ml/nn/runtime/test/generated/models/ |
| logistic_float_2.model.cpp | 6 auto output = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_LOGISTIC, {input}, {output});
12 {output});
|
| logistic_float_2_relaxed.model.cpp | 6 auto output = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_LOGISTIC, {input}, {output});
12 {output});
|
| logistic_quant8_2.model.cpp | 7 auto output = model->addOperand(&type1); local
9 model->addOperation(ANEURALNETWORKS_LOGISTIC, {input}, {output});
13 {output});
|
| relu1_float_2.model.cpp | 6 auto output = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU1, {input}, {output});
12 {output});
|
| relu1_float_2_relaxed.model.cpp | 6 auto output = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU1, {input}, {output});
12 {output});
|
| relu1_quant8_2.model.cpp | 6 auto output = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU1, {input}, {output});
12 {output});
|
| relu6_float_2.model.cpp | 6 auto output = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU6, {input}, {output});
12 {output});
|
| relu6_float_2_relaxed.model.cpp | 6 auto output = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU6, {input}, {output});
12 {output});
|
| relu6_quant8_2.model.cpp | 6 auto output = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU6, {input}, {output});
12 {output});
|
| relu_float_2.model.cpp | 6 auto output = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU, {input}, {output});
12 {output});
|
