| /packages/modules/adb/daemon/ |
| D | property_monitor_test.cpp | 64 static void RegisterCallback(PropertyMonitor* pm, PropertyChanges* output, in RegisterCallback() argument
66 pm->Add(property_name, [output, property_name](std::string value) { in RegisterCallback()
67 std::lock_guard<std::mutex> lock(output->mutex); in RegisterCallback()
69 output->changes[property_name].emplace_back(std::move(value)); in RegisterCallback()
76 PropertyChanges output; in TEST() local
82 RegisterCallback(&pm, &output, foo); in TEST()
85 RegisterCallback(&pm, &output, never_set); in TEST()
92 std::lock_guard<std::mutex> lock(output.mutex); in TEST()
93 ASSERT_EQ(2UL, output.changes.size()); in TEST()
94 ASSERT_EQ(2UL, output.changes[foo].size()); in TEST()
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
| D | strided_slice_quant8_signed.mod.py | 26 output = Output("output", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 3}, 1.0, -128") variable
28 …peration("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
34 output0 = {output: # output 0
51 output = Output("output", "TENSOR_QUANT8_ASYMM_SIGNED", "{3}, 1.0, -128") variable
53 …peration("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
59 output0 = {output: # output 0
76 output = Output("output", "TENSOR_QUANT8_ASYMM_SIGNED", "{2}, 1.0, -128") variable
78 …peration("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
84 output0 = {output: # output 0
101 output = Output("output", "TENSOR_QUANT8_ASYMM_SIGNED", "{2}, 1.0, -128") variable
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| D | space_to_batch_quant8_signed.mod.py | 21 output = Output("output", "TENSOR_QUANT8_ASYMM_SIGNED", "{4, 2, 2, 1}, 1.0, -128") variable
23 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
35 output: # output 0
51 output = Output("output", "TENSOR_QUANT8_ASYMM_SIGNED", "{6, 2, 2, 1}, 1.0, -128") variable
53 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
62 output: # output 0
79 output = Output("output", "TENSOR_QUANT8_ASYMM_SIGNED", "{6, 2, 4, 1}, 1.0, -128") variable
81 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
90 output: # output 0
111 output = Output("output", "TENSOR_QUANT8_ASYMM_SIGNED", "{6, 2, 2, 1}, 1.0, -119") variable
[all …]
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| D | conv2d_quant8_signed.mod.py | 445 output = Output("op4", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 2, 2, 1}, 1.f, -1") variable
448 stride1, act_none).To(output)
459 output: # output 0
473 output = Output("op4", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 1, 1, 3}, 1.0, -128") variable
475 …el = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
481 output0 = {output: # output 0
494 output = Output("op4", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 1, 1, 3}, 1.0, -128") variable
496 …el = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
508 output0 = {output: # output 0
521 output = Output("op4", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 2, 3, 3}, 1.0, -128") variable
[all …]
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| /packages/modules/StatsD/statsd/tests/guardrail/ |
| D | StatsdStats_test.cpp | 39 vector<uint8_t> output; in TEST() local
40 stats.dumpStats(&output, false /*reset stats*/); in TEST()
43 bool good = report.ParseFromArray(&output[0], output.size()); in TEST()
66 vector<uint8_t> output; in TEST() local
67 stats.dumpStats(&output, false); in TEST()
70 bool good = report.ParseFromArray(&output[0], output.size()); in TEST()
87 vector<uint8_t> output; in TEST() local
88 stats.dumpStats(&output, false); in TEST()
90 bool good = report.ParseFromArray(&output[0], output.size()); in TEST()
97 stats.dumpStats(&output, false); in TEST()
[all …]
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| /packages/modules/NeuralNetworks/runtime/test/fibonacci_extension/ |
| D | FibonacciExtensionTest.cpp | 130 uint32_t output) { in addNopOperation() argument
147 model->addOperation(ANEURALNETWORKS_ADD, {input, inputZeros, activation}, {output}); in addNopOperation()
197 int64_t output[N] = {}; in TEST_F() local
198 EXPECT_EQ(ANeuralNetworksExecution_setOutput(mExecution, 0, nullptr, &output, sizeof(output)), in TEST_F()
203 EXPECT_EQ(output[0], 1 / scale + zeroPoint); in TEST_F()
204 EXPECT_EQ(output[1], 1 / scale + zeroPoint); in TEST_F()
205 EXPECT_EQ(output[2], 2 / scale + zeroPoint); in TEST_F()
206 EXPECT_EQ(output[3], 3 / scale + zeroPoint); in TEST_F()
207 EXPECT_EQ(output[4], 5 / scale + zeroPoint); in TEST_F()
208 EXPECT_EQ(output[5], 8 / scale + zeroPoint); in TEST_F()
[all …]
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| D | FibonacciDriver.cpp | 88 Shape output = context->getOutputShape(kOutputTensor); in prepare() local
89 output.dimensions = {static_cast<uint32_t>(n)}; in prepare()
90 return context->setOutputShape(kOutputTensor, output); in prepare()
94 bool compute(int32_t n, ScaleT outputScale, ZeroPointT outputZeroPoint, OutputT* output) { in compute() argument
97 output[0] = 1; in compute()
100 output[1] = 1; in compute()
104 output[i] = output[i - 1] + output[i - 2]; in compute()
110 output[i] = output[i] / outputScale + outputZeroPoint; in compute()
124 float* output = context->getOutputBuffer<float>(kOutputTensor); in execute() local
125 return compute(n, /*scale=*/1.0, /*zeroPoint=*/0, output); in execute()
[all …]
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| /packages/modules/NeuralNetworks/common/ |
| D | OperationsExecutionUtils.cpp | 293 Shape* output) { in reshapePrepare() argument
321 output->type = input.type; in reshapePrepare()
322 output->dimensions = outDims; in reshapePrepare()
323 output->offset = input.offset; in reshapePrepare()
324 output->scale = input.scale; in reshapePrepare()
329 bool depthToSpacePrepare(const Shape& input, int32_t blockSize, Shape* output) { in depthToSpacePrepare() argument
339 output->type = input.type; in depthToSpacePrepare()
340 output->dimensions = {batches, height * blockSize, width * blockSize, in depthToSpacePrepare()
342 output->offset = input.offset; in depthToSpacePrepare()
343 output->scale = input.scale; in depthToSpacePrepare()
[all …]
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| D | QuantUtils.cpp | 12 int n_batch, int n_input, int16_t* output) { in ApplyLayerNorm() argument
48 output[index] = static_cast<int16_t>(val5); in ApplyLayerNorm()
54 int32_t n_col, int32_t* output) { in MatrixScalarMultiplyAccumulate() argument
60 output[i] += row_sum * scalar; in MatrixScalarMultiplyAccumulate()
66 std::unique_ptr<int32_t[]>* output) { in PrecomputeZeroPointTimesWeightWithBias() argument
74 *output = std::make_unique<int32_t[]>(row); in PrecomputeZeroPointTimesWeightWithBias()
76 memset(output->get(), 0, row * sizeof(int32_t)); in PrecomputeZeroPointTimesWeightWithBias()
78 memcpy(output->get(), bias_tensor, row * sizeof(int32_t)); in PrecomputeZeroPointTimesWeightWithBias()
81 MatrixScalarMultiplyAccumulate(weight_tensor, zero_point, row, col, output->get()); in PrecomputeZeroPointTimesWeightWithBias()
86 void ApplySigmoid(const int16_t* input, int32_t n_batch, int32_t n_input, int16_t* output) { in ApplySigmoid() argument
[all …]
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| D | CpuExecutor.cpp | 802 RunTimeOperandInfo& output = operands[outs[0]]; in executeOperation() local
803 Shape outShape = output.shape(); in executeOperation()
808 setInfoAndAllocateIfNeeded(&output, outShape, &result) && in executeOperation()
809 copyData(input.buffer, input.shape(), output.buffer, outShape); in executeOperation()
820 RunTimeOperandInfo& output = operands[outs[0]]; in executeOperation() local
821 Shape outShape = output.shape(); in executeOperation()
830 output_tmp.buffer = data_layout ? nullptr : output.buffer; in executeOperation()
831 output_tmp.length = data_layout ? 0 : output.length; in executeOperation()
834 if (!data_layout) output.dimensions = output_tmp.dimensions; in executeOperation()
870 if (!success || !convertFromNhwc(output, output_tmp, data_layout, &result)) { in executeOperation()
[all …]
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| /packages/services/Car/cpp/evs/support_library/ |
| D | StreamHandler.cpp | 240 bool isSameFormat(const BufferDesc& input, const BufferDesc& output) { in isSameFormat() argument
241 return input.width == output.width in isSameFormat()
242 && input.height == output.height in isSameFormat()
243 && input.format == output.format in isSameFormat()
244 && input.usage == output.usage in isSameFormat()
245 && input.stride == output.stride in isSameFormat()
246 && input.pixelSize == output.pixelSize; in isSameFormat()
280 BufferDesc& output) { in processFrame() argument
282 if (!isSameFormat(input, output) in processFrame()
283 || output.memHandle.getNativeHandle() == nullptr) { in processFrame()
[all …]
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| /packages/modules/StatsD/statsd/src/storage/ |
| D | StorageManager.cpp | 103 static void parseFileName(char* name, FileName* output) { in parseFileName() argument
119 output->mTimestampSec = result[0]; in parseFileName()
120 output->mUid = result[1]; in parseFileName()
121 output->mConfigId = result[2]; in parseFileName()
123 output->mIsHistory = (substr != nullptr && strcmp("history", substr) == 0); in parseFileName()
473 FileName output; in sendBroadcast() local
474 parseFileName(name, &output); in sendBroadcast()
475 if (output.mTimestampSec == -1 || output.mIsHistory) continue; in sendBroadcast()
476 sendBroadcast(ConfigKey((int)output.mUid, output.mConfigId)); in sendBroadcast()
499 FileName output; in hasConfigMetricsReport() local
[all …]
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| /packages/modules/Bluetooth/tools/rootcanal/include/ |
| D | pcap.h | 28 static void WriteHeader(std::ostream& output, uint32_t linktype) { in WriteHeader() argument
37 output.write((char*)&magic_number, 4); in WriteHeader()
38 output.write((char*)&major_version, 2); in WriteHeader()
39 output.write((char*)&minor_version, 2); in WriteHeader()
40 output.write((char*)&reserved1, 4); in WriteHeader()
41 output.write((char*)&reserved2, 4); in WriteHeader()
42 output.write((char*)&snaplen, 4); in WriteHeader()
43 output.write((char*)&linktype, 4); in WriteHeader()
46 static void WriteRecordHeader(std::ostream& output, uint32_t length) { in WriteRecordHeader() argument
55 output.write((char*)&seconds, 4); in WriteRecordHeader()
[all …]
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| /packages/modules/NeuralNetworks/common/include/ |
| D | CpuOperationUtils.h | 61 inline void convertFloat16ToFloat32(const _Float16* input, std::vector<float>* output) { in convertFloat16ToFloat32() argument
63 CHECK(output != nullptr); in convertFloat16ToFloat32()
64 for (size_t i = 0; i < output->size(); ++i) { in convertFloat16ToFloat32()
65 (*output)[i] = static_cast<float>(input[i]); in convertFloat16ToFloat32()
69 inline void convertFloat32ToFloat16(const std::vector<float>& input, _Float16* output) { in convertFloat32ToFloat16() argument
70 CHECK(output != nullptr); in convertFloat32ToFloat16()
72 output[i] = input[i]; in convertFloat32ToFloat16()
78 inline void convertInt8ToUInt8(const int8_t* input, std::vector<uint8_t>* output) { in convertInt8ToUInt8() argument
80 CHECK(output != nullptr); in convertInt8ToUInt8()
81 for (size_t i = 0; i < output->size(); ++i) { in convertInt8ToUInt8()
[all …]
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| /packages/modules/ExtServices/java/tests/src/android/ext/services/storage/ |
| D | CacheQuotaServiceImplTest.java | 95 List<CacheQuotaHint> output = getService().onComputeCacheQuotaHints(requests); in testOneApp() local
97 assertThat(output).hasSize(1); in testOneApp()
98 assertThat(output.get(0).getQuota()).isEqualTo(1500L); in testOneApp()
107 List<CacheQuotaHint> output = getService().onComputeCacheQuotaHints(requests); in testTwoAppsOneVolume() local
110 assertThat(output).hasSize(2); in testTwoAppsOneVolume()
111 assertThat(output.get(0).getQuota()).isEqualTo(883); in testTwoAppsOneVolume()
112 assertThat(output.get(1).getQuota()).isEqualTo(1500 - 883); in testTwoAppsOneVolume()
122 List<CacheQuotaHint> output = getService().onComputeCacheQuotaHints(requests); in testTwoAppsTwoVolumes() local
124 assertThat(output).hasSize(2); in testTwoAppsTwoVolumes()
125 assertThat(output.get(0).getQuota()).isEqualTo(1500); in testTwoAppsTwoVolumes()
[all …]
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| /packages/modules/adb/ |
| D | compression_utils.h | 57 virtual DecodeResult Decode(std::span<char>* output) = 0;
79 virtual EncodeResult Encode(Block* output) = 0;
93 DecodeResult Decode(std::span<char>* output) final { in Decode()
102 *output = std::span(output_buffer_.data(), static_cast<char*>(p)); in Decode()
113 EncodeResult Encode(Block* output) final { in Encode()
114 output->clear(); in Encode()
115 output->resize(output_block_size_); in Encode()
117 size_t available_out = output->size(); in Encode()
118 void* p = output->data(); in Encode()
127 output->resize(output->size() - available_out); in Encode()
[all …]
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| D | test_adb.py | 116 output = subprocess.check_output(["adb", "connect", serial])
117 unittest.assertEqual(output.strip(),
399 err.output.strip(),
412 output = subprocess.check_output(["adb", "-P", str(server_port),
414 self.assertEqual(output.strip(), b"device")
442 output = subprocess.check_output(["adb", "connect", serial])
444 output.strip(),
457 output = subprocess.check_output(["adb", "-s", serial,
459 self.assertEqual(output.strip(), b"device")
465 output, _ = proc.communicate()
[all …]
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| /packages/modules/adb/fastdeploy/deploypatchgenerator/ |
| D | deploy_patch_generator.cpp | 103 static void WritePatchEntry(const PatchEntry& patchEntry, borrowed_fd input, borrowed_fd output, in WritePatchEntry() argument
110 PatchUtils::WriteLong(patchEntry.deltaFromDeviceDataStart, output); in WritePatchEntry()
112 PatchUtils::Pipe(input, output, patchEntry.deltaFromDeviceDataStart); in WritePatchEntry()
117 PatchUtils::WriteLong(patchEntry.deviceDataOffset, output); in WritePatchEntry()
118 PatchUtils::WriteLong(patchEntry.deviceDataLength, output); in WritePatchEntry()
125 const std::string& deviceApkPath, borrowed_fd output) { in GeneratePatch() argument
131 PatchUtils::WriteSignature(output); in GeneratePatch()
132 PatchUtils::WriteLong(newApkSize, output); in GeneratePatch()
133 PatchUtils::WriteString(deviceApkPath, output); in GeneratePatch()
153 WritePatchEntry(patchEntry, input, output, &realSizeOut); in GeneratePatch()
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| /packages/modules/StatsD/statsd/tests/ |
| D | FieldValue_test.cpp | 83 vector<Matcher> output; in TEST() local
84 translateFieldMatcher(matcher1, &output); in TEST()
86 ASSERT_EQ((size_t)1, output.size()); in TEST()
88 const auto& matcher12 = output[0]; in TEST()
104 vector<Matcher> output; in TEST() local
105 translateFieldMatcher(matcher1, &output); in TEST()
107 ASSERT_EQ((size_t)1, output.size()); in TEST()
109 const auto& matcher12 = output[0]; in TEST()
136 HashableDimensionKey output; in TEST() local
138 filterValues(matchers, event.getValues(), &output); in TEST()
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| /packages/modules/DnsResolver/ |
| D | DnsQueryLogTest.cpp | 81 std::string output = captureDumpOutput(queryLog); in TEST_F() local
82 verifyDumpOutput(output, {30, 31, 32, 33}); in TEST_F()
106 std::string output = captureDumpOutput(queryLog); in TEST_F() local
107 verifyDumpOutput(output, std::vector(size, 30)); in TEST_F()
121 std::string output = captureDumpOutput(queryLog); in TEST_F() local
122 verifyDumpOutput(output, {}); in TEST_F()
139 std::string output = captureDumpOutput(queryLog); in TEST_F() local
140 verifyDumpOutput(output, expectedNetIds); in TEST_F()
149 std::string output = captureDumpOutput(queryLog); in TEST_F() local
150 verifyDumpOutput(output, {30}); in TEST_F()
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| /packages/modules/NeuralNetworks/tools/systrace_parser/parser/ |
| D | output.py | 112 output = template.format(**values)
113 output = output.replace(" 0.00%", " -")
114 output = output.replace(" 0.00", " -")
115 output = output.replace(" nan", " n/a")
119 for line in output.splitlines():
131 output = dict(times=times, self_times=self_times, execution_counts=execution_counts,
133 output = json.dumps(output, indent=2, sort_keys=True)
135 output = output.replace("NaN", "null")
136 print(output)
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| /packages/modules/NeuralNetworks/common/cpu_operations/ |
| D | Pooling.cpp | 107 tflite::PoolParams toTfliteParam(const Shape& output) const { in toTfliteParam()
118 if (output.type == OperandType::TENSOR_QUANT8_ASYMM) { in toTfliteParam()
121 CalculateActivationRangeUint8(activation, output, &output_activation_min, in toTfliteParam()
125 } else if (output.type == OperandType::TENSOR_QUANT8_ASYMM_SIGNED) { in toTfliteParam()
128 CalculateActivationRangeInt8(activation, output, &output_activation_min, in toTfliteParam()
260 OutputWithLayout<T> output(param.useNchw); in averagePool() local
262 NN_RET_CHECK(output.initialize(outputData, outputShape)); in averagePool()
264 output.getNhwcBuffer(), output.getNhwcShape())); in averagePool()
265 NN_RET_CHECK(output.commit()); in averagePool()
273 OutputWithLayout<T> output(param.useNchw); in l2Pool() local
[all …]
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| /packages/modules/Bluetooth/system/build/toolchain/gcc/ |
| D | BUILD.gn | 21 depfile = "{{output}}.d"
22 …-MMD -MF $depfile {{defines}} {{include_dirs}} {{cflags}} {{cflags_c}} -c {{source}} -o {{output}}"
24 description = "CC {{output}}"
31 depfile = "{{output}}.d"
32 …MMD -MF $depfile {{defines}} {{include_dirs}} {{cflags}} {{cflags_cc}} -c {{source}} -o {{output}}"
34 description = "CXX {{output}}"
41 rspfile = "{{output}}.rsp"
42 command = "rm -f {{output}} && ar rcs {{output}} @$rspfile"
89 command = "touch {{output}}"
90 description = "STAMP {{output}}"
[all …]
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| /packages/modules/Bluetooth/system/build/toolchain/clang/ |
| D | BUILD.gn | 40 depfile = "{{output}}.d"
41 …-MMD -MF $depfile {{defines}} {{include_dirs}} {{cflags}} {{cflags_c}} -c {{source}} -o {{output}}"
43 description = "CC {{output}}"
50 depfile = "{{output}}.d"
51 …MMD -MF $depfile {{defines}} {{include_dirs}} {{cflags}} {{cflags_cc}} -c {{source}} -o {{output}}"
53 description = "CXX {{output}}"
60 rspfile = "{{output}}.rsp"
61 command = "rm -f {{output}} && ar rcs {{output}} @$rspfile"
108 command = "touch {{output}}"
109 description = "STAMP {{output}}"
[all …]
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| /packages/apps/Gallery2/gallerycommon/src/com/android/gallery3d/jpegstream/ |
| D | StreamUtils.java | 31 public static boolean byteToIntArray(int[] output, byte[] input, ByteOrder endianness) { in byteToIntArray() argument
33 if (output.length * 4 < length) { in byteToIntArray()
37 for (int i = 0, j = 0; i < output.length; i++, j += 4) { in byteToIntArray()
38 output[i] = ((input[j] & 0xFF) << 24) | ((input[j + 1] & 0xFF) << 16) in byteToIntArray()
42 for (int i = 0, j = 0; i < output.length; i++, j += 4) { in byteToIntArray()
43 output[i] = ((input[j + 3] & 0xFF) << 24) | ((input[j + 2] & 0xFF) << 16) in byteToIntArray()
51 int[] output = new int[input.length / 4]; in byteToIntArray() local
52 byteToIntArray(output, input, endianness); in byteToIntArray()
53 return output; in byteToIntArray()
|