Home
last modified time | relevance | path

Searched refs:input2 (Results 1 – 25 of 29) sorted by relevance

12

/frameworks/ml/nn/runtime/test/specs/V1_2/
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],
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}"),
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}
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}
/frameworks/ml/nn/runtime/test/specs/V1_3/
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}"),
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]}
112 input2 = Input("input2", "TENSOR_QUANT8_ASYMM_SIGNED", "{%d, %d}, 0.5f, -128" % (row, col2)) variable
[all …]
/frameworks/ml/nn/runtime/test/specs/V1_0/
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}
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}
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}
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}
/frameworks/ml/nn/runtime/test/specs/V1_1/
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}
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}
/frameworks/av/services/audiopolicy/common/managerdefinitions/src/
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()
/frameworks/base/opengl/java/android/opengl/
DGLLogWrapper.java934 ByteBuffer input2 = (ByteBuffer) input; in toByteBuffer() local
935 int position = input2.position(); in toByteBuffer()
937 byteCount = input2.limit() - position; in toByteBuffer()
939 result = ByteBuffer.allocate(byteCount).order(input2.order()); in toByteBuffer()
941 result.put(input2.get()); in toByteBuffer()
943 input2.position(position); in toByteBuffer()
945 CharBuffer input2 = (CharBuffer) input; in toByteBuffer() local
946 int position = input2.position(); in toByteBuffer()
948 byteCount = (input2.limit() - position) * 2; in toByteBuffer()
950 result = ByteBuffer.allocate(byteCount).order(input2.order()); in toByteBuffer()
[all …]
/frameworks/base/tools/aapt2/format/
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()
/frameworks/ml/nn/common/operations/
DLogicalAndOr.cpp76 Shape input2 = context->getInputShape(kInputTensor2); in prepare() local
78 NN_RET_CHECK(calculateBroadcastedShape(input1, input2, &output)); in prepare()
DSelect.cpp101 Shape input2 = context->getInputShape(kInputTensor2); in prepare() local
102 NN_RET_CHECK(SameShape(input1, input2)); in prepare()
DBroadcast.cpp457 Shape input2 = context->getInputShape(kInputTensor2); in validate() local
458 NN_RET_CHECK_GT(output.scale, input1.scale * input2.scale); in validate()
470 const Shape& input2 = context->getInputShape(kInputTensor2); in validate() local
471 if (hasKnownRank(input1) && hasKnownRank(input2)) { in validate()
473 NN_RET_CHECK_LE(getNumberOfDimensions(input2), 4); in validate()
481 Shape input2 = context->getInputShape(kInputTensor2); in prepare() local
484 NN_RET_CHECK_LE(getNumberOfDimensions(input2), 4); in prepare()
485 NN_RET_CHECK(calculateBroadcastedShape(input1, input2, &output)); in prepare()
DComparisons.cpp150 Shape input2 = context->getInputShape(kInputTensor2); in prepare() local
152 NN_RET_CHECK(calculateBroadcastedShape(input1, input2, &output)); in prepare()
/frameworks/ml/nn/runtime/test/
DTestIntrospectionControl.cpp245 float input2[2] = {3.0f, 4.0f}; in TEST_F() local
249 EXPECT_EQ(ANeuralNetworksExecution_setInput(mExecution, 1, nullptr, input2, sizeof(input2)), in TEST_F()
258 EXPECT_EQ(output[0], input1[0] + input2[0]); in TEST_F()
259 EXPECT_EQ(output[1], input1[1] + input2[1]); in TEST_F()
854 float input2[2] = {3.0f, 4.0f}; in TEST_P() local
858 EXPECT_EQ(ANeuralNetworksExecution_setInput(mExecution, 1, nullptr, input2, sizeof(input2)), in TEST_P()
1289 float input2[2] = {3.0f, 4.0f}; in TEST_F() local
1293 EXPECT_EQ(ANeuralNetworksExecution_setInput(mExecution, 1, nullptr, input2, sizeof(input2)), in TEST_F()
1300 EXPECT_EQ(output[0], kSimpleMultiplier * (input1[0] + input2[0])); in TEST_F()
1301 EXPECT_EQ(output[1], kSimpleMultiplier * (input1[1] + input2[1])); in TEST_F()
DTestMemoryDomain.cpp153 uint32_t input2 = model.addOperand(&tensorTypeFullySpecified); in createTestModel() local
161 model.addOperation(ANEURALNETWORKS_SUB, {input1, input2, act}, {temp}); in createTestModel()
163 model.identifyInputsAndOutputs({input0, input1, input2}, {output0, output1}); in createTestModel()
DTestValidateOperations.cpp1119 ANeuralNetworksOperandType input2 = { in gatherTest() local
1126 OperationTestBase test(ANEURALNETWORKS_GATHER, {input0, axis, input2}, {output}); in gatherTest()
1294 ANeuralNetworksOperandType input2 = input1; in simpleMathOpTest() local
1303 operationCode, {input1, input2, activation}, {output}, in simpleMathOpTest()
1384 ANeuralNetworksOperandType input2 = input1; in TEST() local
1387 input2.scale = 1.0f; in TEST()
1395 OperationTestBase mulTest(ANEURALNETWORKS_MUL, {input1, input2, activation}, {output}); in TEST()
1403 ANeuralNetworksOperandType input2 = input1; in binaryOpTest() local
1406 OperationTestBase test(operationCode, {input1, input2}, {output}); in binaryOpTest()
2425 ANeuralNetworksOperandType input2 = input1; in concatenationTest() local
[all …]
DTestValidation.cpp1800 int32_t input2[] = {0}; in TEST_F() local
1805 EXPECT_EQ(ANeuralNetworksExecution_setInput(execution1, 2, nullptr, input2, sizeof(input2)), in TEST_F()
1845 int32_t input2[] = {0}; in TEST_F() local
1850 EXPECT_EQ(ANeuralNetworksExecution_setInput(execution, 2, nullptr, input2, sizeof(input2)), in TEST_F()
2095 int32_t input2[] = {0}; in TEST_F() local
2113 EXPECT_EQ(ANeuralNetworksExecution_setInput(execution, 2, nullptr, input2, sizeof(input2)), in TEST_F()
2137 int32_t input2[] = {0}; in TEST_F() local
2154 EXPECT_EQ(ANeuralNetworksExecution_setInput(execution, 2, nullptr, input2, sizeof(input2)), in TEST_F()
/frameworks/ml/nn/runtime/test/fibonacci_extension/
DFibonacciExtensionTest.cpp284 uint32_t input2 = mModel.addOperand(&inputType); // Extra input. in TEST_F() local
288 {input1, input2}, {output}); in TEST_F()
289 mModel.identifyInputsAndOutputs({input1, input2}, {output}); in TEST_F()
/frameworks/base/cmds/hid/jni/
Dcom_android_commands_hid_Device.cpp215 ev.u.input2.size = report.size(); in sendReport()
216 memcpy(&ev.u.input2.data, report.data(), report.size() * sizeof(ev.u.input2.data[0])); in sendReport()

12