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Searched refs:input2 (Results 1 – 25 of 38) sorted by relevance

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/aosp12/hardware/interfaces/wifi/1.5/default/tests/
H A Dringbuffer_unit_tests.cpp42 const std::vector<uint8_t> input2(maxBufferSize_ / 2, '1'); in TEST_F() local
44 buffer_.append(input2); in TEST_F()
47 EXPECT_EQ(input2, buffer_.getData().back()); in TEST_F()
52 const std::vector<uint8_t> input2(maxBufferSize_ / 2, '1'); in TEST_F() local
55 buffer_.append(input2); in TEST_F()
58 EXPECT_EQ(input2, buffer_.getData().front()); in TEST_F()
64 const std::vector<uint8_t> input2(maxBufferSize_ / 2, '1'); in TEST_F() local
67 buffer_.append(input2); in TEST_F()
87 const std::vector<uint8_t> input2(maxBufferSize_ + 1, '1'); in TEST_F() local
89 buffer_.append(input2); in TEST_F()
/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_3/
H A Dconcat_quant8_signed.mod.py21 input2 = Input("input2", "TENSOR_FLOAT32", "{2, 1, 2}") variable
26 model = Model().Operation("CONCATENATION", input0, input1, input2, input3, axis).To(output0)
32 input2: [1.2, -3.2, -4.2, 7.2],
38 input2: ["TENSOR_QUANT8_ASYMM_SIGNED", 0.089, -5],
47 input2: [1.2, -3.2, -4.2, 7.2],
53 input2: ["TENSOR_QUANT8_ASYMM_SIGNED", 0.089, -5],
85 input2 = Input("input2", "TENSOR_QUANT8_ASYMM_SIGNED", "{%d, %d}, 0.5f, -128" % (row2, col)) variable
88 model = model.Operation("CONCATENATION", input1, input2, axis0).To(output)
95 input2: [x - 128 for x in input2_values]}
115 model = model.Operation("CONCATENATION", input1, input2, axis1).To(output)
[all …]
H A Dselect_quant8_signed.mod.py16 def test(name, input0, input1, input2, output0, input0_data, input1_data, input2_data, output_data): argument
17 model = Model().Operation("SELECT", input0, input1, input2).To(output0)
20 input2: ["TENSOR_QUANT8_ASYMM_SIGNED", 0.5, -1],
26 input2: input2_data,
34 input2=Input("input2", "TENSOR_FLOAT32", "{3}"),
46 input2=Input("input2", "TENSOR_FLOAT32", "{2, 2}"),
58 input2=Input("input2", "TENSOR_FLOAT32", "{2, 1, 2, 1, 2}"),
/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_2/
H A Dselect_v1_2.mod.py16 def test(name, input0, input1, input2, output0, input0_data, input1_data, input2_data, output_data): argument
17 model = Model().Operation("SELECT", input0, input1, input2).To(output0)
20 input2: ["TENSOR_QUANT8_ASYMM", 0.5, 127],
26 input2: input2_data,
34 input2=Input("input2", "TENSOR_FLOAT32", "{3}"),
46 input2=Input("input2", "TENSOR_FLOAT32", "{2, 2}"),
58 input2=Input("input2", "TENSOR_FLOAT32", "{2, 1, 2, 1, 2}"),
H A Dconcat_mixed_quant.mod.py21 input2 = Input("input2", "TENSOR_FLOAT32", "{2, 1, 2}") variable
26 model = Model().Operation("CONCATENATION", input0, input1, input2, input3, axis).To(output0)
32 input2: [1.2, -3.2, -4.2, 7.2],
38 input2: ["TENSOR_QUANT8_ASYMM", 0.089, 123],
47 input2: [1.2, -3.2, -4.2, 7.2],
53 input2: ["TENSOR_QUANT8_ASYMM", 0.089, 123],
H A Dconcat_float16_2.mod.py26 input2 = Input("input2", "TENSOR_FLOAT16", "{%d, %d}" % (row2, col)) # input tensor 2 variable
29 model = model.Operation("CONCATENATION", input1, input2, axis0).To(output)
36 input2: input2_values}
H A Dconcat_float16_3.mod.py26 input2 = Input("input2", "TENSOR_FLOAT16", "{%d, %d}" % (row, col2)) # input tensor 2 variable
29 model = model.Operation("CONCATENATION", input1, input2, axis1).To(output)
35 input2: input2_values}
/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_0/
H A Dconcat_float_2.mod.py26 input2 = Input("input2", "TENSOR_FLOAT32", "{%d, %d}" % (row2, col)) # input tensor 2 variable
29 model = model.Operation("CONCATENATION", input1, input2, axis0).To(output)
36 input2: input2_values}
H A Dconcat_quant8_2.mod.py26 input2 = Input("input2", "TENSOR_QUANT8_ASYMM", "{%d, %d}, 0.5f, 0" % (row2, col)) variable
29 model = model.Operation("CONCATENATION", input1, input2, axis0).To(output)
36 input2: input2_values}
H A Dconcat_float_3.mod.py26 input2 = Input("input2", "TENSOR_FLOAT32", "{%d, %d}" % (row, col2)) # input tensor 2 variable
29 model = model.Operation("CONCATENATION", input1, input2, axis1).To(output)
35 input2: input2_values}
H A Dconcat_quant8_3.mod.py26 input2 = Input("input2", "TENSOR_QUANT8_ASYMM", "{%d, %d}, 0.5f, 0" % (row, col2)) variable
29 model = model.Operation("CONCATENATION", input1, input2, axis1).To(output)
35 input2: input2_values}
/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_1/
H A Dconcat_float_2_relaxed.mod.py26 input2 = Input("input2", "TENSOR_FLOAT32", "{%d, %d}" % (row2, col)) # input tensor 2 variable
29 model = model.Operation("CONCATENATION", input1, input2, axis0).To(output)
37 input2: input2_values}
H A Dconcat_float_3_relaxed.mod.py26 input2 = Input("input2", "TENSOR_FLOAT32", "{%d, %d}" % (row, col2)) # input tensor 2 variable
29 model = model.Operation("CONCATENATION", input1, input2, axis1).To(output)
36 input2: input2_values}
/aosp12/art/compiler/optimizing/
H A Dregister_allocator_test.cc539 *input2 = new (GetAllocator()) HInstanceFieldGet(parameter, in BuildIfElseWithPhi()
549 else_->AddInstruction(*input2); in BuildIfElseWithPhi()
552 (*phi)->AddInput(*input2); in BuildIfElseWithPhi()
561 HInstruction *input1, *input2; in PhiHint() local
564 HGraph* graph = BuildIfElseWithPhi(&phi, &input1, &input2); in PhiHint()
575 ASSERT_EQ(input2->GetLiveInterval()->GetRegister(), 0); in PhiHint()
580 HGraph* graph = BuildIfElseWithPhi(&phi, &input1, &input2); in PhiHint()
593 ASSERT_EQ(input2->GetLiveInterval()->GetRegister(), 2); in PhiHint()
598 HGraph* graph = BuildIfElseWithPhi(&phi, &input1, &input2); in PhiHint()
611 ASSERT_EQ(input2->GetLiveInterval()->GetRegister(), 2); in PhiHint()
[all …]
/aosp12/frameworks/base/opengl/java/android/opengl/
H A DGLLogWrapper.java941 result.put(input2.get()); in toByteBuffer()
943 input2.position(position); in toByteBuffer()
953 result2.put(input2.get()); in toByteBuffer()
955 input2.position(position); in toByteBuffer()
965 result2.put(input2.get()); in toByteBuffer()
967 input2.position(position); in toByteBuffer()
977 result2.put(input2.get()); in toByteBuffer()
979 input2.position(position); in toByteBuffer()
991 input2.position(position); in toByteBuffer()
1003 input2.position(position); in toByteBuffer()
[all …]
/aosp12/bionic/tests/
H A Dmath_data_test.h50 T2 input2; member
72 T2 input2; member
79 T2 input2; member
219 … data[i].expected, f(data[i].input1, data[i].input2)) << "Failed on element " << i;
283 out1 = f(data[i].input1, data[i].input2, &out2);
298 … data[i].expected, f(data[i].input1, data[i].input2, data[i].input3)) << "Failed on element " << i;
/aosp12/frameworks/av/services/audiopolicy/common/managerdefinitions/src/
H A DAudioProfileVectorHelper.cpp371 const T& input1, const T& input2, const Order& order) in intersectFilterAndOrder() argument
374 std::set<typename T::value_type> set2{input2.begin(), input2.end()}; in intersectFilterAndOrder()
389 const T& input1, const T& input2, Compare comp) in intersectAndOrder() argument
392 std::set<typename T::value_type, Compare> set2{input2.begin(), input2.end(), comp}; in intersectAndOrder()
/aosp12/art/test/565-checker-doublenegbitwise/src/
H A DMain.java39 public static <T> T $noinline$runSmaliTest(String name, Class<T> klass, T input1, T input2) { in $noinline$runSmaliTest() argument
44 return inputKlass.cast(m.invoke(null, input1, input2)); in $noinline$runSmaliTest()
/aosp12/frameworks/base/tools/aapt2/format/
H A DArchive_test.cpp124 auto input2 = std::make_unique<TestData>(data2_copy, kTestDataLength); in TEST_F() local
128 ASSERT_TRUE(writer->WriteFile("test2", 0, input2.get())); in TEST_F()
184 auto input2 = std::make_unique<TestData>(data2_copy, kTestDataLength); in TEST_F() local
188 ASSERT_TRUE(writer->WriteFile("test2", 0, input2.get())); in TEST_F()
/aosp12/packages/modules/NeuralNetworks/common/operations/
H A DLogicalAndOr.cpp76 Shape input2 = context->getInputShape(kInputTensor2); in prepare() local
78 NN_RET_CHECK(calculateBroadcastedShape(input1, input2, &output)); in prepare()
H A DBroadcast.cpp461 Shape input2 = context->getInputShape(kInputTensor2); in validate() local
462 NN_RET_CHECK_GT(output.scale, input1.scale * input2.scale); in validate()
474 const Shape& input2 = context->getInputShape(kInputTensor2); in validate() local
475 if (hasKnownRank(input1) && hasKnownRank(input2)) { in validate()
477 NN_RET_CHECK_LE(getNumberOfDimensions(input2), 4); in validate()
487 Shape input2 = context->getInputShape(kInputTensor2); in prepare() local
490 NN_RET_CHECK_LE(getNumberOfDimensions(input2), 4); in prepare()
491 NN_RET_CHECK(calculateBroadcastedShape(input1, input2, &output)); in prepare()
H A DSelect.cpp98 Shape input2 = context->getInputShape(kInputTensor2); in prepare() local
99 NN_RET_CHECK(SameShape(input1, input2)); in prepare()
/aosp12/packages/modules/NeuralNetworks/runtime/test/
H A DTestIntrospectionControl.cpp250 float input2[2] = {3.0f, 4.0f}; in TEST_F() local
254 EXPECT_EQ(ANeuralNetworksExecution_setInput(mExecution, 1, nullptr, input2, sizeof(input2)), in TEST_F()
263 EXPECT_EQ(output[0], input1[0] + input2[0]); in TEST_F()
264 EXPECT_EQ(output[1], input1[1] + input2[1]); in TEST_F()
878 float input2[2] = {3.0f, 4.0f}; in TEST_P() local
882 EXPECT_EQ(ANeuralNetworksExecution_setInput(mExecution, 1, nullptr, input2, sizeof(input2)), in TEST_P()
1490 float input2[2] = {3.0f, 4.0f}; in TEST_F() local
1494 EXPECT_EQ(ANeuralNetworksExecution_setInput(mExecution, 1, nullptr, input2, sizeof(input2)), in TEST_F()
1501 EXPECT_EQ(output[0], kSimpleMultiplier * (input1[0] + input2[0])); in TEST_F()
1502 EXPECT_EQ(output[1], kSimpleMultiplier * (input1[1] + input2[1])); in TEST_F()
/aosp12/packages/modules/NeuralNetworks/runtime/test/fibonacci_extension/
H A DFibonacciExtensionTest.cpp290 uint32_t input2 = mModel.addOperand(&inputType); // Extra input. in TEST_F() local
294 {input1, input2}, {output}); in TEST_F()
295 mModel.identifyInputsAndOutputs({input1, input2}, {output}); in TEST_F()
/aosp12/frameworks/base/cmds/hid/jni/
H A Dcom_android_commands_hid_Device.cpp223 ev.u.input2.size = report.size(); in sendReport()
224 memcpy(&ev.u.input2.data, report.data(), report.size() * sizeof(ev.u.input2.data[0])); in sendReport()

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