| /external/vixl/examples/aarch64/ |
| neon-matrix-multiply.cc | 40 // v<v_out> corresponds to a column of the output matrix (v0, v1, v2 or v3).
74 // Initialise vectors of the output matrix with zeros.
77 // of the output vectors.
114 float mat1[kLength], mat2[kLength], output[kLength]; local
116 // Initialise the output matrix to the zero matrix.
117 memset(output, 0, sizeof(output[0]) * kLength);
159 simulator.WriteXRegister(0, reinterpret_cast<uintptr_t>(output));
164 // Print the 4x4 output matrix along with both 4x4 input matrices.
178 output[i]
[all...] |
| /external/webrtc/webrtc/base/ |
| messagedigest.cc | 71 void* output, size_t out_len) {
73 return digest->Finish(output, out_len);
77 void* output, size_t out_len) {
80 ComputeDigest(digest.get(), input, in_len, output, out_len) :
85 scoped_ptr<char[]> output(new char[digest->Size()]);
87 output.get(), digest->Size());
88 return hex_encode(output.get(), digest->Size());
92 std::string* output) {
97 *output = ComputeDigest(digest.get(), input);
102 std::string output; local
177 std::string output; local
[all...] |
| /external/webrtc/webrtc/common_audio/ |
| fir_filter_unittest.cc | 31 const float* output,
34 output,
42 float output[kInputLength]; local
45 filter->Filter(kInput, kInputLength, output);
47 VerifyOutput(kInput, output, kInputLength);
52 float output[kInputLength]; local
55 filter->Filter(kInput, kInputLength, output);
57 EXPECT_FLOAT_EQ(5.f, output[0]);
58 EXPECT_FLOAT_EQ(20.f, output[3]);
59 EXPECT_FLOAT_EQ(25.f, output[4])
65 float output[kInputLength]; local
78 float output[kInputLength]; local
91 float output[kInputLength]; local
108 float output[kInputLength]; local
164 float output[kConstantInputLength]; local
183 float output[kHighFrequencyInputLength]; local
194 float output[kCoefficientsLength]; local
[all...] |
| swap_queue.h | 148 // the "empty" T in *output.
150 // empty). When specified, The T given in *output must pass the ItemVerifier()
151 // test and the contents of *output after the call are then also guaranteed to
153 bool Remove(T* output) WARN_UNUSED_RESULT {
154 RTC_DCHECK(output); variable
158 RTC_DCHECK(queue_item_verifier_(*output));
165 swap(*output, queue_[next_read_index_]);
|
| /external/webrtc/webrtc/libjingle/xmpp/ |
| presenceouttask.cc | 131 char output[256]; local
132 strftime(output, arraysize(output), "%Y%m%dT%H:%M:%S", current_time);
133 result->AddAttr(kQnStamp, output, 1);
|
| /external/webrtc/webrtc/modules/audio_coding/neteq/ |
| dsp_helper_unittest.cc | 22 int16_t output[kLen]; local
34 output);
37 EXPECT_EQ(1000 * i / kLen, output[i]);
|
| /external/webrtc/webrtc/modules/audio_processing/vad/ |
| pole_zero_filter_unittest.cc | 65 float output[kInputSamples]; local
71 &output[n * num_subframe_samples]);
74 EXPECT_NEAR(output[n], kReferenceOutput[n], 1);
|
| /frameworks/av/media/img_utils/src/ |
| TiffEntry.cpp | 127 String8 output; local
129 output.appendFormat("[id: %x, type: %d, count: %u, value: '", getTag(), getType(), count);
142 output.appendFormat("%u ", typed_data[i]);
152 output.append(typed_data, len);
158 output.appendFormat("%u ", typed_data[i]);
165 output.appendFormat("%u ", typed_data[i]);
173 output.appendFormat("%u/%u ", typed_data[i], typed_data[i + 1]);
180 output.appendFormat("%d ", typed_data[i]);
187 output.appendFormat("%d ", typed_data[i]);
194 output.appendFormat("%d ", typed_data[i])
[all...] |
| /frameworks/base/cmds/statsd/benchmark/ |
| filter_value_benchmark.cpp | 57 HashableDimensionKey output; local
58 filterValues(matchers, event.getValues(), &output);
|
| get_dimensions_for_condition_benchmark.cpp | 61 HashableDimensionKey output; local
62 getDimensionForCondition(event.getValues(), link, &output);
|
| /frameworks/base/core/java/android/security/keymaster/ |
| OperationResult.java | 33 public final byte[] output; field in class:OperationResult
50 int resultCode, IBinder token, long operationHandle, int inputConsumed, byte[] output,
56 this.output = output;
65 output = in.createByteArray();
80 out.writeByteArray(output);
|
| /frameworks/base/libs/hwui/pipeline/skia/ |
| SkiaDisplayList.cpp | 140 void SkiaDisplayList::output(std::ostream& output, uint32_t level) { function in class:android::uirenderer::skiapipeline::SkiaDisplayList
141 DumpOpsCanvas canvas(output, level, *this);
|
| /frameworks/base/media/mca/filterpacks/java/android/filterpacks/text/ |
| ToUpperCase.java | 51 Frame output = env.getFrameManager().newFrame(mOutputFormat); local
52 output.setObjectValue(inputString.toUpperCase(Locale.getDefault()));
54 pushOutput("uppercase", output);
|
| /frameworks/base/tools/aapt2/java/ |
| JavaClassGenerator_test.cpp | 74 std::string output; local
75 StringOutputStream out(&output);
79 EXPECT_THAT(output, HasSubstr("public static final int hey_man=0x01020000;"));
80 EXPECT_THAT(output, HasSubstr("public static final int[] hey_dude={"));
81 EXPECT_THAT(output, HasSubstr("public static final int hey_dude_cool_attr=0;"));
99 std::string output; local
100 StringOutputStream out(&output);
104 EXPECT_THAT(output, HasSubstr("package com.android.internal;"));
105 EXPECT_THAT(output, HasSubstr("public static final int one=0x01020000;"));
106 EXPECT_THAT(output, Not(HasSubstr("two")))
125 std::string output; local
156 std::string output; local
169 std::string output; local
182 std::string output; local
248 std::string output; local
273 std::string output; local
315 std::string output; local
351 std::string output; local
394 std::string output; local
431 std::string output; local
[all...] |
| /frameworks/data-binding/compilationTests/src/test/java/android/databinding/compilationTest/ |
| CompilationResult.java | 30 public final String output; field in class:CompilationResult
33 public CompilationResult(int resultCode, String output, String error) {
35 this.output = output;
40 return resultCode == 0 && output.indexOf(text) > 0;
|
| /frameworks/ml/nn/runtime/test/generated/models/ |
| avg_pool_float_2.model.cpp | 12 auto output = model->addOperand(&type2); local
22 model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, activation}, {output});
26 {output});
|
| avg_pool_float_2_relaxed.model.cpp | 12 auto output = model->addOperand(&type2); local
22 model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, activation}, {output});
26 {output});
|
| avg_pool_float_3.model.cpp | 12 auto output = model->addOperand(&type2); local
22 model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, activation}, {output});
26 {output});
|
| avg_pool_float_3_relaxed.model.cpp | 12 auto output = model->addOperand(&type2); local
22 model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, activation}, {output});
26 {output});
|
| avg_pool_float_4.model.cpp | 12 auto output = model->addOperand(&type2); local
22 model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, relu6_activation}, {output});
26 {output});
|
| avg_pool_float_4_relaxed.model.cpp | 12 auto output = model->addOperand(&type2); local
22 model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, relu6_activation}, {output});
26 {output});
|
| avg_pool_quant8_2.model.cpp | 12 auto output = model->addOperand(&type2); local
22 model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, activation}, {output});
26 {output});
|
| avg_pool_quant8_3.model.cpp | 12 auto output = model->addOperand(&type2); local
22 model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, activation}, {output});
26 {output});
|
| local_response_norm_float_1.model.cpp | 12 auto output = model->addOperand(&type0); local
22 model->addOperation(ANEURALNETWORKS_LOCAL_RESPONSE_NORMALIZATION, {input, radius, bias, alpha, beta}, {output});
26 {output});
|
| local_response_norm_float_1_relaxed.model.cpp | 12 auto output = model->addOperand(&type0); local
22 model->addOperation(ANEURALNETWORKS_LOCAL_RESPONSE_NORMALIZATION, {input, radius, bias, alpha, beta}, {output});
26 {output});
|
