/frameworks/ml/nn/runtime/test/generated/models/ |
D | split_float_3.model.cpp | 13 auto output2 = model->addOperand(&type2); in CreateModel() local 19 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel() 23 {output0, output1, output2}); in CreateModel() 42 auto output2 = model->addOperand(&type2); in CreateModel_relaxed() local 48 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel_relaxed() 52 {output0, output1, output2}); in CreateModel_relaxed() 73 auto output2 = model->addOperand(&type4); in CreateModel_float16() local 79 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel_float16() 83 {output0, output1, output2}); in CreateModel_float16() 102 auto output2 = model->addOperand(&type5); in CreateModel_dynamic_output_shape() local [all …]
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D | split_float_1.model.cpp | 13 auto output2 = model->addOperand(&type2); in CreateModel() local 19 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel() 23 {output0, output1, output2}); in CreateModel() 42 auto output2 = model->addOperand(&type2); in CreateModel_relaxed() local 48 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel_relaxed() 52 {output0, output1, output2}); in CreateModel_relaxed() 73 auto output2 = model->addOperand(&type4); in CreateModel_float16() local 79 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel_float16() 83 {output0, output1, output2}); in CreateModel_float16() 102 auto output2 = model->addOperand(&type5); in CreateModel_dynamic_output_shape() local [all …]
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D | expand_dims.model.cpp | 498 auto output2 = model->addOperand(&type3); in CreateModel_3() local 502 model->addOperation(ANEURALNETWORKS_EXPAND_DIMS, {input0, param2}, {output2}); in CreateModel_3() 506 {output2}); in CreateModel_3() 522 auto output2 = model->addOperand(&type3); in CreateModel_relaxed_3() local 526 model->addOperation(ANEURALNETWORKS_EXPAND_DIMS, {input0, param2}, {output2}); in CreateModel_relaxed_3() 530 {output2}); in CreateModel_relaxed_3() 548 auto output2 = model->addOperand(&type18); in CreateModel_quant8_3() local 552 model->addOperation(ANEURALNETWORKS_EXPAND_DIMS, {input0, param2}, {output2}); in CreateModel_quant8_3() 556 {output2}); in CreateModel_quant8_3() 572 auto output2 = model->addOperand(&type19); in CreateModel_int32_3() local [all …]
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D | split_int32_3.model.cpp | 13 auto output2 = model->addOperand(&type2); in CreateModel() local 19 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel() 23 {output0, output1, output2}); in CreateModel() 42 auto output2 = model->addOperand(&type2); in CreateModel_relaxed() local 48 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel_relaxed() 52 {output0, output1, output2}); in CreateModel_relaxed() 73 auto output2 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local 79 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel_dynamic_output_shape() 83 {output0, output1, output2}); in CreateModel_dynamic_output_shape() 102 auto output2 = model->addOperand(&type3); in CreateModel_dynamic_output_shape_relaxed() local [all …]
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D | split_int32_1.model.cpp | 13 auto output2 = model->addOperand(&type2); in CreateModel() local 19 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel() 23 {output0, output1, output2}); in CreateModel() 42 auto output2 = model->addOperand(&type2); in CreateModel_relaxed() local 48 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel_relaxed() 52 {output0, output1, output2}); in CreateModel_relaxed() 73 auto output2 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local 79 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel_dynamic_output_shape() 83 {output0, output1, output2}); in CreateModel_dynamic_output_shape() 102 auto output2 = model->addOperand(&type3); in CreateModel_dynamic_output_shape_relaxed() local [all …]
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D | split_quant8_1.model.cpp | 13 auto output2 = model->addOperand(&type2); in CreateModel() local 19 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel() 23 {output0, output1, output2}); in CreateModel() 42 auto output2 = model->addOperand(&type2); in CreateModel_relaxed() local 48 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel_relaxed() 52 {output0, output1, output2}); in CreateModel_relaxed() 73 auto output2 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local 79 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel_dynamic_output_shape() 83 {output0, output1, output2}); in CreateModel_dynamic_output_shape() 102 auto output2 = model->addOperand(&type3); in CreateModel_dynamic_output_shape_relaxed() local [all …]
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D | split_quant8_3.model.cpp | 13 auto output2 = model->addOperand(&type2); in CreateModel() local 19 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel() 23 {output0, output1, output2}); in CreateModel() 42 auto output2 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local 48 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel_dynamic_output_shape() 52 {output0, output1, output2}); in CreateModel_dynamic_output_shape()
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D | pow.model.cpp | 279 auto output2 = model->addOperand(&type5); in CreateModel_3() local 281 model->addOperation(ANEURALNETWORKS_POW, {base, exponent2}, {output2}); in CreateModel_3() 285 {output2}); in CreateModel_3() 301 auto output2 = model->addOperand(&type5); in CreateModel_relaxed_3() local 303 model->addOperation(ANEURALNETWORKS_POW, {base, exponent2}, {output2}); in CreateModel_relaxed_3() 307 {output2}); in CreateModel_relaxed_3() 325 auto output2 = model->addOperand(&type13); in CreateModel_float16_3() local 327 model->addOperation(ANEURALNETWORKS_POW, {base, exponent2}, {output2}); in CreateModel_float16_3() 331 {output2}); in CreateModel_float16_3() 347 auto output2 = model->addOperand(&type14); in CreateModel_dynamic_output_shape_3() local [all …]
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D | slice.model.cpp | 294 auto output2 = model->addOperand(&type6); in CreateModel_3() local 296 model->addOperation(ANEURALNETWORKS_SLICE, {input2, begin2, size2}, {output2}); in CreateModel_3() 300 {output2}); in CreateModel_3() 316 auto output2 = model->addOperand(&type6); in CreateModel_relaxed_3() local 318 model->addOperation(ANEURALNETWORKS_SLICE, {input2, begin2, size2}, {output2}); in CreateModel_relaxed_3() 322 {output2}); in CreateModel_relaxed_3() 340 auto output2 = model->addOperand(&type35); in CreateModel_float16_3() local 342 model->addOperation(ANEURALNETWORKS_SLICE, {input2, begin2, size2}, {output2}); in CreateModel_float16_3() 346 {output2}); in CreateModel_float16_3() 363 auto output2 = model->addOperand(&type36); in CreateModel_dynamic_output_shape_3() local [all …]
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/frameworks/ml/nn/runtime/test/specs/V1_2/ |
D | expand_dims.mod.py | 21 output2 = Output("output", "TENSOR_FLOAT32", "{2, 2, 1}") variable 22 output3 = output2 26 model2 = Model().Operation("EXPAND_DIMS", input0, 2).To(output2) 33 (model2, output2),
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D | split_quant8_3.mod.py | 23 output2 = Output("output2", "TENSOR_QUANT8_ASYMM", "{2, 1}, 2.0, 3") variable 25 model = Model().Operation("SPLIT", input0, axis, num_splits).To((output0, output1, output2)) 35 output2: [3, 6],
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D | split_int32_3.mod.py | 23 output2 = Output("output2", "TENSOR_INT32", "{2, 1}") variable 25 model = Model().Operation("SPLIT", input0, axis, num_splits).To((output0, output1, output2)) 35 output2: [3, 6],
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D | split_int32_1.mod.py | 23 output2 = Output("output2", "TENSOR_INT32", "{2}") variable 25 model = Model().Operation("SPLIT", input0, axis, num_splits).To((output0, output1, output2)) 34 output2: [5, 6],
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D | split_float_1.mod.py | 23 output2 = Output("output2", "TENSOR_FLOAT32", "{2}") variable 25 model = Model().Operation("SPLIT", input0, axis, num_splits).To((output0, output1, output2)) 34 output2: [5.0, 6.0],
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D | split_float_3.mod.py | 23 output2 = Output("output2", "TENSOR_FLOAT32", "{2, 1}") variable 25 model = Model().Operation("SPLIT", input0, axis, num_splits).To((output0, output1, output2)) 35 output2: [3.0, 6.0],
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D | split_quant8_1.mod.py | 23 output2 = Output("output2", "TENSOR_QUANT8_ASYMM", "{2}, 1.0, 0") variable 25 model = Model().Operation("SPLIT", input0, axis, num_splits).To((output0, output1, output2)) 34 output2: [5, 6],
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/frameworks/av/services/audiopolicy/common/managerdefinitions/src/ |
D | AudioOutputDescriptor.cpp | 581 const sp<SwAudioOutputDescriptor>& output2, in openDuplicating() argument 587 *ioHandle = mClientInterface->openDuplicateOutput(output2->mIoHandle, output1->mIoHandle); in openDuplicating() 595 mOutput2 = output2; in openDuplicating() 596 mSamplingRate = output2->mSamplingRate; in openDuplicating() 597 mFormat = output2->mFormat; in openDuplicating() 598 mChannelMask = output2->mChannelMask; in openDuplicating() 599 mLatency = output2->mLatency; in openDuplicating()
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/frameworks/base/tests/net/java/com/android/server/connectivity/ |
D | IpConnectivityMetricsTest.java | 98 String output2 = getdump("flush"); in testBufferFlushing() local 99 assertFalse("".equals(output2)); in testBufferFlushing() 123 String output2 = getdump("flush"); in testRateLimiting() local 124 assertEquals("", output2); in testRateLimiting()
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/frameworks/av/services/audiopolicy/service/ |
D | AudioPolicyClientImpl.cpp | 57 audio_io_handle_t output2) in openDuplicateOutput() argument 64 return af->openDuplicateOutput(output1, output2); in openDuplicateOutput()
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/frameworks/ml/nn/runtime/test/fibonacci_extension/ |
D | FibonacciExtensionTest.cpp | 303 uint32_t output2 = mModel.addOperand(&outputType); // Extra output. in TEST_F() local 306 {input}, {output1, output2}); in TEST_F() 307 mModel.identifyInputsAndOutputs({input}, {output1, output2}); in TEST_F()
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/frameworks/base/media/tests/MediaFrameworkTest/src/com/android/mediaframeworktest/integration/ |
D | CameraDeviceBinderTest.java | 322 OutputConfiguration output2 = new OutputConfiguration(surface2); in testCreateStreamTwo() local 324 int streamId2 = mCameraUser.createStream(output2); in testCreateStreamTwo()
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/frameworks/av/services/audiopolicy/ |
D | AudioPolicyInterface.h | 305 …al audio_io_handle_t openDuplicateOutput(audio_io_handle_t output1, audio_io_handle_t output2) = 0;
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/frameworks/av/media/libaudioclient/ |
D | IAudioFlinger.cpp | 429 audio_io_handle_t output2) in openDuplicateOutput() argument 434 data.writeInt32((int32_t) output2); in openDuplicateOutput() 1223 audio_io_handle_t output2 = (audio_io_handle_t) data.readInt32(); in onTransact() local 1224 reply->writeInt32((int32_t) openDuplicateOutput(output1, output2)); in onTransact()
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/frameworks/av/services/audiopolicy/common/managerdefinitions/include/ |
D | AudioOutputDescriptor.h | 359 const sp<SwAudioOutputDescriptor>& output2,
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/frameworks/av/include/media/ |
D | IAudioFlinger.h | 412 audio_io_handle_t output2) = 0;
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