| /external/webrtc/webrtc/modules/audio_coding/neteq/ |
| sync_buffer_unittest.cc | 141 // Read to interleaved output. Read in two batches, where each read operation
143 int16_t output[kChannels * kNewLen]; local
145 // That is, the number of samples written to |output| is
148 output);
151 &output[samples_read * kChannels]);
155 int16_t* output_ptr = output;
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| /external/webrtc/webrtc/modules/audio_coding/neteq/tools/ |
| input_audio_file_unittest.cc | 27 int16_t output[kSamples * kChannels]; local
28 InputAudioFile::DuplicateInterleaved(input, kSamples, kChannels, output);
30 // Verify output
31 int16_t* output_ptr = output;
48 // Verify output
|
| /frameworks/av/drm/libmediadrm/ |
| PluginMetricsReporting.cpp | 55 String8 output; local
61 output.append(&candidate, 1);
64 return output;
|
| /frameworks/base/media/mca/filterpacks/java/android/filterpacks/base/ |
| FrameFetch.java | 51 Frame output = context.fetchFrame(mKey); local
52 if (output != null) {
53 pushOutput("frame", output);
|
| /frameworks/base/media/mca/filterpacks/java/android/filterpacks/text/ |
| StringSource.java | 49 Frame output = env.getFrameManager().newFrame(mOutputFormat); local
50 output.setObjectValue(mString);
51 output.setTimestamp(Frame.TIMESTAMP_UNKNOWN);
52 pushOutput("string", output);
|
| /frameworks/base/tools/aapt2/io/ |
| StringStream_test.cpp | 75 std::string output; local
78 StringOutputStream out(&output, 10u);
81 EXPECT_THAT(output, StrEq(input));
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| /frameworks/ml/nn/runtime/test/generated/models/ |
| concat_float_2.model.cpp | 11 auto output = model->addOperand(&type3); local
15 model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis0}, {output});
19 {output});
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| concat_float_2_relaxed.model.cpp | 11 auto output = model->addOperand(&type3); local
15 model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis0}, {output});
19 {output});
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| concat_float_3.model.cpp | 11 auto output = model->addOperand(&type3); local
15 model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis1}, {output});
19 {output});
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| concat_float_3_relaxed.model.cpp | 11 auto output = model->addOperand(&type3); local
15 model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis1}, {output});
19 {output});
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| concat_quant8_2.model.cpp | 11 auto output = model->addOperand(&type3); local
15 model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis0}, {output});
19 {output});
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| concat_quant8_3.model.cpp | 11 auto output = model->addOperand(&type3); local
15 model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis1}, {output});
19 {output});
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| hashtable_lookup_float.model.cpp | 12 auto output = model->addOperand(&type3); local
15 model->addOperation(ANEURALNETWORKS_HASHTABLE_LOOKUP, {lookup, key, value}, {output, hits});
19 {output, hits});
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| hashtable_lookup_float_relaxed.model.cpp | 12 auto output = model->addOperand(&type3); local
15 model->addOperation(ANEURALNETWORKS_HASHTABLE_LOOKUP, {lookup, key, value}, {output, hits});
19 {output, hits});
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| hashtable_lookup_quant8.model.cpp | 12 auto output = model->addOperand(&type3); local
15 model->addOperation(ANEURALNETWORKS_HASHTABLE_LOOKUP, {lookup, key, value}, {output, hits});
19 {output, hits});
|
| lsh_projection.model.cpp | 13 auto output = model->addOperand(&type4); local
19 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output});
23 {output});
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| lsh_projection_2.model.cpp | 13 auto output = model->addOperand(&type4); local
19 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output});
23 {output});
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| lsh_projection_2_relaxed.model.cpp | 13 auto output = model->addOperand(&type4); local
19 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output});
23 {output});
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| lsh_projection_relaxed.model.cpp | 13 auto output = model->addOperand(&type4); local
19 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output});
23 {output});
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| lsh_projection_weights_as_inputs.model.cpp | 13 auto output = model->addOperand(&type4); local
17 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output});
21 {output});
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| lsh_projection_weights_as_inputs_relaxed.model.cpp | 13 auto output = model->addOperand(&type4); local
17 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output});
21 {output});
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| mean.model.cpp | 11 auto output = model->addOperand(&type3); local
17 model->addOperation(ANEURALNETWORKS_MEAN, {input, axis, keepDims}, {output});
21 {output});
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| mean_float_1.model.cpp | 11 auto output = model->addOperand(&type3); local
17 model->addOperation(ANEURALNETWORKS_MEAN, {input, axis, keepDims}, {output});
21 {output});
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| mean_float_1_relaxed.model.cpp | 11 auto output = model->addOperand(&type3); local
17 model->addOperation(ANEURALNETWORKS_MEAN, {input, axis, keepDims}, {output});
21 {output});
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| mean_float_2.model.cpp | 11 auto output = model->addOperand(&type3); local
17 model->addOperation(ANEURALNETWORKS_MEAN, {input, axis, keepDims}, {output});
21 {output});
|
