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/packages/modules/NeuralNetworks/runtime/test/fuzzing/operation_signatures/
DConvolutions.cpp30 int32_t paddingLeft = op->inputs[3]->value<int32_t>(); in conv2DExplicitConstructor()
31 int32_t paddingRight = op->inputs[4]->value<int32_t>(); in conv2DExplicitConstructor()
32 int32_t paddingTop = op->inputs[5]->value<int32_t>(); in conv2DExplicitConstructor()
33 int32_t paddingBottom = op->inputs[6]->value<int32_t>(); in conv2DExplicitConstructor()
34 int32_t strideWidth = op->inputs[7]->value<int32_t>(); in conv2DExplicitConstructor()
35 int32_t strideHeight = op->inputs[8]->value<int32_t>(); in conv2DExplicitConstructor()
38 if (op->inputs.size() > 10) { in conv2DExplicitConstructor()
39 useNchw = op->inputs[10]->value<bool8>(); in conv2DExplicitConstructor()
40 if (op->inputs.size() > 11) { in conv2DExplicitConstructor()
41 dilationWidth = op->inputs[11]->value<int32_t>(); in conv2DExplicitConstructor()
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DReshape.cpp30 if (op->inputs.size() > 2) useNchw = op->inputs[2]->value<bool8>(); in spaceToDepthConstructor()
35 op->inputs[0]->dimensions = {RandomVariableType::FREE, RandomVariableType::FREE, in spaceToDepthConstructor()
37 int32_t blockSize = op->inputs[1]->value<int32_t>(); in spaceToDepthConstructor()
38 auto outHeight = op->inputs[0]->dimensions[heightIndex].exactDiv(blockSize); in spaceToDepthConstructor()
39 auto outWidth = op->inputs[0]->dimensions[widthIndex].exactDiv(blockSize); in spaceToDepthConstructor()
40 auto outDepth = op->inputs[0]->dimensions[depthIndex] * (blockSize * blockSize); in spaceToDepthConstructor()
43 op->outputs[0]->dimensions = {op->inputs[0]->dimensions[0], outDepth, outHeight, outWidth}; in spaceToDepthConstructor()
45 op->outputs[0]->dimensions = {op->inputs[0]->dimensions[0], outHeight, outWidth, outDepth}; in spaceToDepthConstructor()
47 setSameQuantization(op->outputs[0], op->inputs[0]); in spaceToDepthConstructor()
56 .inputs = {INPUT_DEFAULT, PARAMETER_RANGE(TestOperandType::INT32, 1, 5)}, \
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DSelection.cpp28 setFreeDimensions(op->inputs[0], /*rank=*/1); in embeddingLookupConstructor()
29 setFreeDimensions(op->inputs[1], rank); in embeddingLookupConstructor()
31 op->outputs[0]->dimensions[0] = op->inputs[0]->dimensions[0]; in embeddingLookupConstructor()
33 op->outputs[0]->dimensions[i] = op->inputs[1]->dimensions[i]; in embeddingLookupConstructor()
35 setSameQuantization(op->outputs[0], op->inputs[1]); in embeddingLookupConstructor()
39 uint32_t dimValue = op->inputs[1]->dimensions[0].getValue(); in embeddingLookupFinalizer()
40 uint32_t numElements = op->inputs[0]->getNumberOfElements(); in embeddingLookupFinalizer()
43 op->inputs[0]->value<int32_t>(i) = getUniform<int32_t>(0, dimValue - 1); in embeddingLookupFinalizer()
53 .inputs = {PARAMETER_NONE(TestOperandType::TENSOR_INT32), INPUT_DEFAULT}, \
65 op->inputs[0]->dimensions = {RandomVariableType::FREE}; in hashtableLookupConstructor()
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DBoundingBox.cpp46 useNchw = op->inputs[9]->value<bool8>(); in roiConstructor()
48 useNchw = op->inputs[7]->value<bool8>(); in roiConstructor()
51 op->inputs[0]->dimensions = {RandomVariableType::FREE, RandomVariableType::FREE, in roiConstructor()
53 op->inputs[1]->dimensions = {RandomVariableType::FREE, 4}; in roiConstructor()
54 op->inputs[2]->dimensions = {op->inputs[1]->dimensions[0]}; in roiConstructor()
55 auto outBatch = op->inputs[1]->dimensions[0]; in roiConstructor()
56 auto outDepth = op->inputs[0]->dimensions[useNchw ? 1 : 3]; in roiConstructor()
57 auto outHeight = op->inputs[3]->value<RandomVariable>(); in roiConstructor()
58 auto outWidth = op->inputs[4]->value<RandomVariable>(); in roiConstructor()
66 setSameQuantization(op->outputs[0], op->inputs[0]); in roiConstructor()
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DResize.cpp25 setFreeDimensions(op->inputs[0], rank); in resizeOpConstructor()
27 bool useNchw = op->inputs.size() > 3 ? static_cast<bool>(op->inputs[3]->value<bool8>()) : false; in resizeOpConstructor()
33 switch (op->inputs[1]->dataType) { in resizeOpConstructor()
36 outWidth = op->inputs[1]->value<RandomVariable>(); in resizeOpConstructor()
37 outHeight = op->inputs[2]->value<RandomVariable>(); in resizeOpConstructor()
41 outWidth = op->inputs[0]->dimensions[widthIndex] * op->inputs[1]->value<float>(); in resizeOpConstructor()
42 outHeight = op->inputs[0]->dimensions[heightIndex] * op->inputs[2]->value<float>(); in resizeOpConstructor()
45 outWidth = op->inputs[0]->dimensions[widthIndex] * in resizeOpConstructor()
46 static_cast<float>(op->inputs[1]->value<_Float16>()); in resizeOpConstructor()
47 outHeight = op->inputs[0]->dimensions[heightIndex] * in resizeOpConstructor()
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DPoolings.cpp28 int32_t paddingLeft = op->inputs[1]->value<int32_t>(); in poolingExplicitOpConstructor()
29 int32_t paddingRight = op->inputs[2]->value<int32_t>(); in poolingExplicitOpConstructor()
30 int32_t paddingTop = op->inputs[3]->value<int32_t>(); in poolingExplicitOpConstructor()
31 int32_t paddingBottom = op->inputs[4]->value<int32_t>(); in poolingExplicitOpConstructor()
32 int32_t strideWidth = op->inputs[5]->value<int32_t>(); in poolingExplicitOpConstructor()
33 int32_t strideHeight = op->inputs[6]->value<int32_t>(); in poolingExplicitOpConstructor()
34 auto filterWidth = op->inputs[7]->value<RandomVariable>(); in poolingExplicitOpConstructor()
35 auto filterHeight = op->inputs[8]->value<RandomVariable>(); in poolingExplicitOpConstructor()
37 if (op->inputs.size() > 10) useNchw = op->inputs[10]->value<bool8>(); in poolingExplicitOpConstructor()
43 op->inputs[0]->dimensions = {RandomVariableType::FREE, RandomVariableType::FREE, in poolingExplicitOpConstructor()
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DNormalization.cpp26 if (op->inputs.size() > 2) { in softmaxConstructor()
27 op->inputs[2]->setScalarValue<int32_t>(getRandomAxis(rank)); in softmaxConstructor()
37 .inputs = {INPUT_DEFAULT, PARAMETER_FLOAT_RANGE(0.1, 10.0)}, in DEFINE_OPERATION_SIGNATURE()
47 .inputs = {INPUT_DEFAULT, PARAMETER_FLOAT_RANGE(0.1, 10.0)}, in DEFINE_OPERATION_SIGNATURE()
56 .inputs = {INPUT_DEFAULT, PARAMETER_FLOAT_RANGE(0.1, 10.0)}, in DEFINE_OPERATION_SIGNATURE()
67 .inputs = {INPUT_DEFAULT, PARAMETER_FLOAT_RANGE(0.1, 10.0), in DEFINE_OPERATION_SIGNATURE()
77 .inputs = {INPUT_DEFAULT, PARAMETER_FLOAT_RANGE(0.1, 10.0)}, in DEFINE_OPERATION_SIGNATURE()
86 .inputs = {INPUT_DEFAULT, PARAMETER_FLOAT_RANGE(0.1, 10.0), in DEFINE_OPERATION_SIGNATURE()
94 if (op->inputs.size() > 1) { in l2normConstructor()
95 op->inputs[1]->setScalarValue<int32_t>(getRandomAxis(rank)); in l2normConstructor()
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DConcatSplit.cpp26 op->inputs[i]->dimensions.resize(rank); in concatConstructor()
27 if (isV1_0) setSameQuantization(op->inputs[i], op->inputs[0]); in concatConstructor()
32 op->inputs[numInputs]->setScalarValue<int32_t>(axis); in concatConstructor()
34 op->inputs[0]->dimensions[i] = RandomVariableType::FREE; in concatConstructor()
35 op->outputs[0]->dimensions[i] = op->inputs[0]->dimensions[i]; in concatConstructor()
38 op->inputs[j]->dimensions[i] = RandomVariableType::FREE; in concatConstructor()
40 op->outputs[0]->dimensions[i] + op->inputs[j]->dimensions[i]; in concatConstructor()
42 op->inputs[j]->dimensions[i] = op->inputs[0]->dimensions[i]; in concatConstructor()
54 .inputs = {INPUT_DEFAULT, INPUT_DEFAULT, PARAMETER_NONE(TestOperandType::INT32)}, in DEFINE_OPERATION_SIGNATURE()
66 .inputs = {INPUT_DEFAULT, INPUT_DEFAULT, INPUT_DEFAULT, in DEFINE_OPERATION_SIGNATURE()
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DReduce.cpp24 setFreeDimensions(op->inputs[0], rank); in reduceOpConstructor()
31 op->inputs[1]->dimensions = {numAxis}; in reduceOpConstructor()
32 op->inputs[1]->resizeBuffer<int32_t>(numAxis); in reduceOpConstructor()
35 op->inputs[1]->value<int32_t>(i) = dim; in reduceOpConstructor()
41 if (op->inputs[2]->dataType == TestOperandType::BOOL) { in reduceOpConstructor()
42 keepDims = op->inputs[2]->value<bool8>(); in reduceOpConstructor()
44 keepDims = op->inputs[2]->value<int32_t>() > 0; in reduceOpConstructor()
49 op->outputs[0]->dimensions.emplace_back(op->inputs[0]->dimensions[i]); in reduceOpConstructor()
54 setSameQuantization(op->outputs[0], op->inputs[0]); in reduceOpConstructor()
69 .inputs = {INPUT_DEFAULT, PARAMETER_NONE(TestOperandType::TENSOR_INT32), \
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DBroadcast.cpp27 op->inputs[0]->dimensions.resize(rank); in broadcastOpConstructor()
28 op->inputs[1]->dimensions.resize(rank2); in broadcastOpConstructor()
33 op->inputs[0]->dimensions[i] = op->outputs[0]->dimensions[i]; in broadcastOpConstructor()
37 op->inputs[0]->dimensions[i] = op->outputs[0]->dimensions[i]; in broadcastOpConstructor()
38 op->inputs[1]->dimensions[i - rankDiff] = op->outputs[0]->dimensions[i]; in broadcastOpConstructor()
41 op->inputs[0]->dimensions[i] = 1; in broadcastOpConstructor()
42 op->inputs[1]->dimensions[i - rankDiff] = op->outputs[0]->dimensions[i]; in broadcastOpConstructor()
45 op->inputs[0]->dimensions[i] = op->outputs[0]->dimensions[i]; in broadcastOpConstructor()
46 op->inputs[1]->dimensions[i - rankDiff] = 1; in broadcastOpConstructor()
52 op->inputs[0]->dimensions.swap(op->inputs[1]->dimensions); in broadcastOpConstructor()
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DFullyConnected.cpp28 op->inputs[0]->dimensions.resize(rank); in fullyConnectedConstructor()
31 op->inputs[0]->dimensions[i] = RandomVariableType::FREE; in fullyConnectedConstructor()
32 numElements = numElements * op->inputs[0]->dimensions[i]; in fullyConnectedConstructor()
36 op->inputs[1]->dimensions = {RandomVariableType::FREE, RandomVariableType::FREE}; in fullyConnectedConstructor()
39 op->inputs[2]->dimensions = {op->inputs[1]->dimensions[0]}; in fullyConnectedConstructor()
42 op->outputs[0]->dimensions = {numElements.exactDiv(op->inputs[1]->dimensions[1]), in fullyConnectedConstructor()
43 op->inputs[1]->dimensions[0]}; in fullyConnectedConstructor()
54 .inputs = {INPUT_DEFAULT, INPUT_DEFAULT, INPUT_BIAS, in DEFINE_OPERATION_SIGNATURE()
65 .inputs = {INPUT_DEFAULT, INPUT_DEFAULT, INPUT_BIAS, in DEFINE_OPERATION_SIGNATURE()
75 .inputs = {INPUT_DEFAULT, INPUT_DEFAULT, INPUT_BIAS, in DEFINE_OPERATION_SIGNATURE()
/packages/modules/NeuralNetworks/runtime/operation_converters/
DConv2DOperationConverter.cpp30 context->getSubgraph()->operands[operation.inputs[kFilterTensorIdx]])); in getConv2DInputs()
32 NN_TRY(context->createTensorFlatbufferFromOperand(operation.inputs[kInputTensorIdx])); in getConv2DInputs()
34 NN_TRY(context->createTensorFlatbufferFromOperand(operation.inputs[kFilterTensorIdx], in getConv2DInputs()
36 NN_TRY(context->createTensorFlatbufferFromOperand(operation.inputs[kBiasTensorIdx])); in getConv2DInputs()
37 std::vector<int32_t> inputs{ in getConv2DInputs() local
38 context->getTensorIdxFromOperandIdx(operation.inputs[kInputTensorIdx]), in getConv2DInputs()
39 context->getTensorIdxFromOperandIdx(operation.inputs[kFilterTensorIdx]), in getConv2DInputs()
40 context->getTensorIdxFromOperandIdx(operation.inputs[kBiasTensorIdx])}; in getConv2DInputs()
41 return inputs; in getConv2DInputs()
55 const Operand& inputOperand = subgraph->operands[operation.inputs[0]]; in decomposeExplicitPadding()
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DDepthwiseConv2DOperationConverter.cpp37 (operation.inputs.size() < 9 || in convert()
38 subgraph->operands[operation.inputs[8]].type == OperandType::BOOL); in convert()
40 std::vector<int32_t> inputs = NN_TRY(getConv2DInputs(operation, context)); in convert() local
47 inputs[0] = padOpIdx; in convert()
53 const Operand& paddingTypeOperand = subgraph->operands[operation.inputs[3]]; in convert()
65 subgraph->operands[operation.inputs[baseOptionsIdx + kStrideWOffset]]; in convert()
67 subgraph->operands[operation.inputs[baseOptionsIdx + kStrideHOffset]]; in convert()
69 subgraph->operands[operation.inputs[baseOptionsIdx + kActivationOffset]]; in convert()
71 subgraph->operands[operation.inputs[baseOptionsIdx + kDepthwiseMultiplier]]; in convert()
86 if (operation.inputs.size() > static_cast<uint32_t>(isNchwIdx)) { in convert()
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DArithmeticOperationConverter.cpp29 NN_TRY(context->createTensorFlatbufferFromOperand(operation.inputs[kInput1TensorIdx])); in getArithmeticInputs()
30 NN_TRY(context->createTensorFlatbufferFromOperand(operation.inputs[kInput2TensorIdx])); in getArithmeticInputs()
31 std::vector<int32_t> inputs{ in getArithmeticInputs() local
32 context->getTensorIdxFromOperandIdx(operation.inputs[kInput1TensorIdx]), in getArithmeticInputs()
33 context->getTensorIdxFromOperandIdx(operation.inputs[kInput2TensorIdx])}; in getArithmeticInputs()
34 return inputs; in getArithmeticInputs()
/packages/modules/Bluetooth/android/app/tests/unit/src/com/android/bluetooth/avrcpcontroller/bip/
DBipEncodingTest.java43 String[] inputs, in testParseMany() argument
48 for (String input : inputs) { in testParseMany()
55 String[] inputs = new String[] {"JPEG", "jpeg", "Jpeg", "JpEg"}; in testParseJpeg() local
56 testParseMany(inputs, BipEncoding.JPEG, "JPEG", null, true); in testParseJpeg()
61 String[] inputs = new String[] {"GIF", "gif", "Gif", "gIf"}; in testParseGif() local
62 testParseMany(inputs, BipEncoding.GIF, "GIF", null, true); in testParseGif()
67 String[] inputs = new String[] {"WBMP", "wbmp", "Wbmp", "WbMp"}; in testParseWbmp() local
68 testParseMany(inputs, BipEncoding.WBMP, "WBMP", null, false); in testParseWbmp()
73 String[] inputs = new String[] {"PNG", "png", "Png", "PnG"}; in testParsePng() local
74 testParseMany(inputs, BipEncoding.PNG, "PNG", null, true); in testParsePng()
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/packages/modules/AppSearch/testing/coretests/src/android/app/appsearch/external/util/
DBundleUtilTest.java70 Bundle[] inputs = new Bundle[2]; in testDeepEquals_thorough_equal() local
72 inputs[i] = createThoroughBundle(); in testDeepEquals_thorough_equal()
74 assertThat(inputs[0]).isNotEqualTo(inputs[1]); in testDeepEquals_thorough_equal()
75 assertThat(BundleUtil.deepEquals(inputs[0], inputs[1])).isTrue(); in testDeepEquals_thorough_equal()
80 Bundle[] inputs = new Bundle[2]; in testDeepEquals_thorough_notEqual() local
86 inputs[i] = b; in testDeepEquals_thorough_notEqual()
88 assertThat(inputs[0]).isNotEqualTo(inputs[1]); in testDeepEquals_thorough_notEqual()
89 assertThat(BundleUtil.deepEquals(inputs[0], inputs[1])).isFalse(); in testDeepEquals_thorough_notEqual()
152 Bundle[] inputs = new Bundle[2]; in testDeepHashCode_same() local
154 inputs[i] = createThoroughBundle(); in testDeepHashCode_same()
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/packages/modules/Virtualization/pvmfw/src/
Ddice.rs225 let inputs = PartialInputs::new(&vb_data).unwrap(); in base_data_conversion() localVariable
227 assert_eq!(inputs.mode, DiceMode::kDiceModeNormal); in base_data_conversion()
228 assert_eq!(inputs.security_version, 42); in base_data_conversion()
229 assert!(!inputs.rkp_vm_marker); in base_data_conversion()
237 let inputs = PartialInputs::new(&vb_data).unwrap(); in debuggable_conversion() localVariable
239 assert_eq!(inputs.mode, DiceMode::kDiceModeDebug); in debuggable_conversion()
246 let inputs = PartialInputs::new(&vb_data).unwrap(); in rkp_vm_conversion() localVariable
248 assert!(inputs.rkp_vm_marker); in rkp_vm_conversion()
254 let inputs = PartialInputs::new(&vb_data).unwrap(); in base_config_descriptor() localVariable
255 let config_map = decode_config_descriptor(&inputs, None); in base_config_descriptor()
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/packages/modules/NeuralNetworks/runtime/test/generated/spec_V1_2/
Dl2_normalization_v1_2.example.cpp35 .inputs = {0}, in get_test_model_dim4_axis3()
112 .inputs = {2, 3, 4}, in get_test_model_dim4_axis3_all_inputs_as_internal()
116 .inputs = {0}, in get_test_model_dim4_axis3_all_inputs_as_internal()
163 .inputs = {0}, in get_test_model_dim4_axis3_relaxed()
240 .inputs = {2, 3, 4}, in get_test_model_dim4_axis3_relaxed_all_inputs_as_internal()
244 .inputs = {0}, in get_test_model_dim4_axis3_relaxed_all_inputs_as_internal()
291 .inputs = {0}, in get_test_model_dim4_axis3_float16()
368 .inputs = {2, 3, 4}, in get_test_model_dim4_axis3_float16_all_inputs_as_internal()
372 .inputs = {0}, in get_test_model_dim4_axis3_float16_all_inputs_as_internal()
419 .inputs = {0}, in get_test_model_dim4_axis3_quant8()
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Dcast.example.cpp35 .inputs = {0}, in get_test_model_float16_to_float16()
112 .inputs = {2, 3, 4}, in get_test_model_float16_to_float16_all_inputs_as_internal()
116 .inputs = {0}, in get_test_model_float16_to_float16_all_inputs_as_internal()
163 .inputs = {0}, in get_test_model_float16_to_float32()
240 .inputs = {2, 3, 4}, in get_test_model_float16_to_float32_all_inputs_as_internal()
244 .inputs = {0}, in get_test_model_float16_to_float32_all_inputs_as_internal()
291 .inputs = {0}, in get_test_model_float16_to_float32_relaxed()
368 .inputs = {2, 3, 4}, in get_test_model_float16_to_float32_relaxed_all_inputs_as_internal()
372 .inputs = {0}, in get_test_model_float16_to_float32_relaxed_all_inputs_as_internal()
419 .inputs = {0}, in get_test_model_float16_to_int32()
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Dl2_normalization_axis.example.cpp45 .inputs = {0, 1}, in get_test_model_dim4_axis0()
132 .inputs = {3, 4, 5}, in get_test_model_dim4_axis0_all_inputs_as_internal()
136 .inputs = {0, 1}, in get_test_model_dim4_axis0_all_inputs_as_internal()
193 .inputs = {0, 1}, in get_test_model_dim4_axis0_relaxed()
280 .inputs = {3, 4, 5}, in get_test_model_dim4_axis0_relaxed_all_inputs_as_internal()
284 .inputs = {0, 1}, in get_test_model_dim4_axis0_relaxed_all_inputs_as_internal()
341 .inputs = {0, 1}, in get_test_model_dim4_axis0_float16()
428 .inputs = {3, 4, 5}, in get_test_model_dim4_axis0_float16_all_inputs_as_internal()
432 .inputs = {0, 1}, in get_test_model_dim4_axis0_float16_all_inputs_as_internal()
489 .inputs = {0, 1}, in get_test_model_dim4_axis0_quant8()
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Dpow.example.cpp45 .inputs = {0, 1}, in get_test_model()
162 .inputs = {3, 4, 5}, in get_test_model_all_inputs_as_internal()
166 .inputs = {6, 7, 8}, in get_test_model_all_inputs_as_internal()
170 .inputs = {0, 1}, in get_test_model_all_inputs_as_internal()
227 .inputs = {0, 1}, in get_test_model_relaxed()
344 .inputs = {3, 4, 5}, in get_test_model_relaxed_all_inputs_as_internal()
348 .inputs = {6, 7, 8}, in get_test_model_relaxed_all_inputs_as_internal()
352 .inputs = {0, 1}, in get_test_model_relaxed_all_inputs_as_internal()
409 .inputs = {0, 1}, in get_test_model_float16()
526 .inputs = {3, 4, 5}, in get_test_model_float16_all_inputs_as_internal()
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Dnot_equal.example.cpp45 .inputs = {0, 1}, in get_test_model_simple()
162 .inputs = {3, 4, 5}, in get_test_model_simple_all_inputs_as_internal()
166 .inputs = {6, 7, 8}, in get_test_model_simple_all_inputs_as_internal()
170 .inputs = {0, 1}, in get_test_model_simple_all_inputs_as_internal()
227 .inputs = {0, 1}, in get_test_model_simple_int32()
284 .inputs = {0, 1}, in get_test_model_simple_float16()
401 .inputs = {3, 4, 5}, in get_test_model_simple_float16_all_inputs_as_internal()
405 .inputs = {6, 7, 8}, in get_test_model_simple_float16_all_inputs_as_internal()
409 .inputs = {0, 1}, in get_test_model_simple_float16_all_inputs_as_internal()
466 .inputs = {0, 1}, in get_test_model_simple_relaxed()
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/packages/apps/Camera2/src/com/android/camera/async/
DObservableCombiner.java45 private ObservableCombiner(List<? extends Observable<?>> inputs, in ObservableCombiner() argument
47 mInputs = ImmutableList.copyOf(inputs); in ObservableCombiner()
62 static <I, O> Observable<O> transform(final List<? extends Observable<I>> inputs, in transform() argument
64 return new ObservableCombiner<>(inputs, new Supplier<O>() { in transform()
68 for (Observable<? extends I> dependency : inputs) { in transform()
76 static <O> Observable<O> transform(final List<? extends Observable<?>> inputs,
78 return new ObservableCombiner<>(inputs, output);
/packages/modules/NeuralNetworks/runtime/test/generated/spec_V1_3/
Drank.example.cpp35 .inputs = {0}, in get_test_model_1d()
112 .inputs = {2, 3, 4}, in get_test_model_1d_all_inputs_as_internal()
116 .inputs = {0}, in get_test_model_1d_all_inputs_as_internal()
163 .inputs = {0}, in get_test_model_1d_int32()
210 .inputs = {0}, in get_test_model_1d_float16()
287 .inputs = {2, 3, 4}, in get_test_model_1d_float16_all_inputs_as_internal()
291 .inputs = {0}, in get_test_model_1d_float16_all_inputs_as_internal()
338 .inputs = {0}, in get_test_model_1d_quant8()
415 .inputs = {2, 3, 4}, in get_test_model_1d_quant8_all_inputs_as_internal()
419 .inputs = {0}, in get_test_model_1d_quant8_all_inputs_as_internal()
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Dhard_swish.example.cpp35 .inputs = {0}, in get_test_model_simple()
112 .inputs = {2, 3, 4}, in get_test_model_simple_all_inputs_as_internal()
116 .inputs = {0}, in get_test_model_simple_all_inputs_as_internal()
163 .inputs = {0}, in get_test_model_simple_float16()
240 .inputs = {2, 3, 4}, in get_test_model_simple_float16_all_inputs_as_internal()
244 .inputs = {0}, in get_test_model_simple_float16_all_inputs_as_internal()
291 .inputs = {0}, in get_test_model_simple_relaxed()
368 .inputs = {2, 3, 4}, in get_test_model_simple_relaxed_all_inputs_as_internal()
372 .inputs = {0}, in get_test_model_simple_relaxed_all_inputs_as_internal()
419 .inputs = {0}, in get_test_model_simple_quant8()
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