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/frameworks/ml/nn/tools/test_generator/tests/P_vts_internal/
Dadd_internal.mod.py40 act = Int32Scalar("act", 0) variable
42 model.Operation("ADD", o0, o1, act).To(o2)
43 model.Operation("ADD", p0, t5, act).To(t6)
44 model.Operation("ADD", i2, t0, act).To(t1)
45 model.Operation("ADD", i6, p0, act).To(t5)
46 model.Operation("ADD", i0, i1, act).To(t0)
47 model.Operation("ADD", t1, t3, act).To(t4)
48 model.Operation("ADD", t2, i5, act).To(t3)
49 model.Operation("ADD", t4, t6, act).To(o0)
50 model.Operation("ADD", i3, i4, act).To(t2)
[all …]
/frameworks/ml/nn/tools/test_generator/tests/P_internal/
Dadd_internal.mod.py40 act = Int32Scalar("act", 0) variable
42 model.Operation("ADD", o0, o1, act).To(o2)
43 model.Operation("ADD", p0, t5, act).To(t6)
44 model.Operation("ADD", i2, t0, act).To(t1)
45 model.Operation("ADD", i6, p0, act).To(t5)
46 model.Operation("ADD", i0, i1, act).To(t0)
47 model.Operation("ADD", t1, t3, act).To(t4)
48 model.Operation("ADD", t2, i5, act).To(t3)
49 model.Operation("ADD", t4, t6, act).To(o0)
50 model.Operation("ADD", i3, i4, act).To(t2)
[all …]
Dstdout.txt.expect22 auto act = model->addOperand(&type1);
43 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
46 model->addOperation(ANEURALNETWORKS_ADD, {i6, p0, act}, {t5});
47 model->addOperation(ANEURALNETWORKS_ADD, {p0, t5, act}, {t6});
48 model->addOperation(ANEURALNETWORKS_ADD, {i0, i1, act}, {t0});
49 model->addOperation(ANEURALNETWORKS_ADD, {i2, t0, act}, {t1});
50 model->addOperation(ANEURALNETWORKS_ADD, {i3, i4, act}, {t2});
51 model->addOperation(ANEURALNETWORKS_ADD, {t2, i5, act}, {t3});
52 model->addOperation(ANEURALNETWORKS_ADD, {t1, t3, act}, {t4});
53 model->addOperation(ANEURALNETWORKS_ADD, {t4, t6, act}, {o0});
[all …]
/frameworks/ml/nn/runtime/test/specs/V1_3/
Dfully_connected_quant8_signed.mod.py45 act = Int32Scalar("act", 0) variable
46 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
64 act = Int32Scalar("act", 0) variable
65 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
87 act = Int32Scalar("act", 0) variable
88 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
106 act = Int32Scalar("act", 0) variable
107 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
127 act = Int32Scalar("act", 0) variable
128 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
Dmul_quant8_signed.mod.py20 act = Int32Scalar("act", 0) variable
22 model = model.Operation("MUL", i1, i2, act).To(i3)
41 act = Int32Scalar("act", 0) variable
43 model = model.Operation("MUL", i1, i2, act).To(i3)
Dadd_quant8_signed.mod.py20 act = Int32Scalar("act", 0) variable
22 model = model.Operation("ADD", i1, i2, act).To(i3)
41 act = Int32Scalar("act", 0) variable
43 model = model.Operation("ADD", i1, i2, act).To(i3)
Dconv2d_quant8_signed.mod.py471 act = Int32Scalar("act", 0) variable
475 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(outp…
492 act = Int32Scalar("act", 0) variable
496 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(outp…
519 act = Int32Scalar("act", 0) variable
523 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(outp…
547 act = Int32Scalar("act", 0) variable
551 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(outp…
584 act = Int32Scalar("act", 0) variable
591 stride, act).To(output)
[all …]
Ddepthwise_conv2d_quant8_signed.mod.py255 act = Int32Scalar("act", 0) variable
264 cm, act).To(output)
283 act = Int32Scalar("act", 0) variable
292 cm, act).To(output)
316 act = Int32Scalar("act", 0) variable
325 cm, act).To(output)
344 act = Int32Scalar("act", 0) variable
353 cm, act).To(output)
/frameworks/ml/nn/tools/test_generator/tests/P_vts_variation/
Dconv_float.mod.py20 act = Int32Scalar("act", 0) # None activation variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad, stride0, stride1, act, layout).To(output)
41 relu = ActivationConverter("relu").Identify([output], [act])
42 relu6 = ActivationConverter("relu6").Identify([output], [act])
46 output, act).AddInput(f1).AddVariations(RelaxedModeConverter(True), quant8)
/frameworks/rs/tests/java_api/ScriptGroupTest/src/com/android/rs/sgtest/
DTestBase.java46 protected ScriptGroupTestActivity act; field in TestBase
51 MessageProcessor(ScriptGroupTestActivity act) { in MessageProcessor() argument
52 mAct = act; in MessageProcessor()
66 act = ipact; in createBaseTest()
68 mRS.setMessageHandler(new MessageProcessor(act)); in createBaseTest()
74 createTest(act.getResources()); in createBaseTest()
/frameworks/ml/nn/tools/test_generator/tests/P_vts_implicit_variation/
Dconv_float.mod.py20 act = Int32Scalar("act", 0) # None activation variable
23 model = model.Operation("CONV_2D", i1, f1, b1, 1, 1, 1, act, layout).To(output)
45 ("relu", [output], [act]),
46 ("relu6", [output], [act]),
/frameworks/ml/nn/tools/test_generator/tests/P_implicit_variation/
Dconv_float.mod.py20 act = Int32Scalar("act", 0) # None activation variable
23 model = model.Operation("CONV_2D", i1, f1, b1, 1, 1, 1, act, layout).To(output)
45 ("relu", [output], [act]),
46 ("relu6", [output], [act]),
Dstdout.txt.expect28 auto act = model->addOperand(&type3);
43 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
46 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, …
101 auto act = model->addOperand(&type3);
116 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
119 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, …
180 auto act = model->addOperand(&type3);
195 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
198 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, …
257 auto act = model->addOperand(&type3);
[all …]
/frameworks/rs/tests/java_api/ImageProcessing/src/com/android/rs/image/
DTestBase.java46 protected ImageProcessingActivity act; field in TestBase
51 MessageProcessor(ImageProcessingActivity act) { in MessageProcessor() argument
52 mAct = act; in MessageProcessor()
106 act = ipact; in createBaseTest()
108 mRS.setMessageHandler(new MessageProcessor(act)); in createBaseTest()
114 createTest(act.getResources()); in createBaseTest()
/frameworks/ml/nn/tools/test_generator/tests/P_naming/
Dconv_float.mod.py20 act = Int32Scalar("act", 0) # None activation variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad, stride0, stride1, act, layout).To(output)
42 relu = ActivationConverter("relu", name="act").Identify([output], [act])
43 relu6 = ActivationConverter("relu6").Identify([output], [act])
Dstdout.txt.expect28 auto act = model->addOperand(&type3);
43 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
46 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, …
101 auto act = model->addOperand(&type3);
116 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
119 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, …
180 auto act = model->addOperand(&type3);
195 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
198 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, …
257 auto act = model->addOperand(&type3);
[all …]
/frameworks/ml/nn/tools/test_generator/tests/P_vts_naming/
Dconv_float.mod.py20 act = Int32Scalar("act", 0) # None activation variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad, stride0, stride1, act, layout).To(output)
42 relu = ActivationConverter("relu", name="act").Identify([output], [act])
43 relu6 = ActivationConverter("relu6").Identify([output], [act])
/frameworks/ml/nn/runtime/test/
DTestCompliance.cpp97 auto act = model.addConstantOperand(&kTypeInt32, kNoActivation); in TEST_F() local
98 model.addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in TEST_F()
111 auto act = model.addConstantOperand(&kTypeInt32, kNoActivation); in TEST_F() local
112 model.addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in TEST_F()
127 auto act = model.addConstantOperand(&kTypeInt32, kNoActivation); in TEST_F() local
128 model.addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in TEST_F()
129 model.addOperation(ANEURALNETWORKS_ADD, {op3, op4, act}, {op5}); in TEST_F()
156 auto act = model.addConstantOperand(&kTypeInt32, kNoActivation); in TEST_F() local
158 model.addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in TEST_F()
/frameworks/ml/nn/runtime/test/specs/V1_2/
Dadd_v1_2.mod.py21 act = Int32Scalar("act", 0) # an int32_t scalar activation variable
23 model = model.Operation("ADD", i1, i2, act).To(i3)
43 act = Int32Scalar("act", 0) variable
45 model = model.Operation("ADD", i1, i2, act).To(i3)
Dmul_v1_2.mod.py21 act = Int32Scalar("act", 0) # an int32_t scalar activation variable
23 model = model.Operation("MUL", i1, i2, act).To(i3)
43 act = Int32Scalar("act", 0) variable
45 model = model.Operation("MUL", i1, i2, act).To(i3)
Ddiv_v1_2.mod.py21 act = Int32Scalar("act", 0) # an int32_t scalar activation variable
23 model = model.Operation("DIV", i1, i2, act).To(i3)
43 act = Int32Scalar("act", 0) variable
45 model = model.Operation("DIV", i1, i2, act).To(i3)
/frameworks/ml/nn/tools/test_generator/tests/P_variation/
Dstdout.txt.expect28 auto act = model->addOperand(&type3);
43 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
46 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, …
101 auto act = model->addOperand(&type3);
116 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
119 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, …
180 auto act = model->addOperand(&type3);
195 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
198 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, …
257 auto act = model->addOperand(&type3);
[all …]
Dconv_float.mod.py20 act = Int32Scalar("act", 0) # None activation variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad, stride0, stride1, act, layout).To(output)
44 output, act).AddInput(f1).AddVariations(RelaxedModeConverter(True), quant8)
/frameworks/base/core/java/com/android/internal/app/
DAlertActivity.java80 public static boolean dispatchPopulateAccessibilityEvent(Activity act, in dispatchPopulateAccessibilityEvent() argument
83 event.setPackageName(act.getPackageName()); in dispatchPopulateAccessibilityEvent()
85 ViewGroup.LayoutParams params = act.getWindow().getAttributes(); in dispatchPopulateAccessibilityEvent()
/frameworks/base/core/java/android/app/
DActivityGroup.java116 Activity act = mLocalActivityManager.getActivity(who); in dispatchActivityResult() local
123 if (act != null) { in dispatchActivityResult()
124 act.onActivityResult(requestCode, resultCode, data); in dispatchActivityResult()

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