| /hardware/interfaces/neuralnetworks/1.0/vts/functional/ |
| D | BasicTests.cpp | 84 .zeroPoint = 0, in TEST_P()
94 .zeroPoint = 0, in TEST_P()
104 .zeroPoint = 0, in TEST_P()
114 .zeroPoint = 0, in TEST_P()
124 .zeroPoint = 0, in TEST_P()
134 .zeroPoint = 0, in TEST_P()
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| D | GeneratedTestHarness.cpp | 68 .zeroPoint = op.zeroPoint, in createModel()
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| D | ValidateModel.cpp | 82 .zeroPoint = 0, in addOperand()
177 size += sizeForBinder(operand.zeroPoint); in sizeForBinder()
405 model->operands[operand].zeroPoint = invalidZeroPoint; in mutateOperandZeroPointTest()
651 newOperand.zeroPoint = 0; in mutateOperand()
657 newOperand.zeroPoint = 0; in mutateOperand()
662 newOperand.zeroPoint = 0; in mutateOperand()
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| /hardware/interfaces/neuralnetworks/1.1/vts/functional/ |
| D | BasicTests.cpp | 91 .zeroPoint = 0, in TEST_P()
101 .zeroPoint = 0, in TEST_P()
111 .zeroPoint = 0, in TEST_P()
121 .zeroPoint = 0, in TEST_P()
131 .zeroPoint = 0, in TEST_P()
141 .zeroPoint = 0, in TEST_P()
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| D | GeneratedTestHarness.cpp | 75 .zeroPoint = op.zeroPoint, in createModel()
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| D | ValidateModel.cpp | 101 .zeroPoint = 0, in addOperand()
196 size += sizeForBinder(operand.zeroPoint); in sizeForBinder()
430 model->operands[operand].zeroPoint = invalidZeroPoint; in mutateOperandZeroPointTest()
683 newOperand.zeroPoint = 0; in mutateOperand()
689 newOperand.zeroPoint = 0; in mutateOperand()
694 newOperand.zeroPoint = 0; in mutateOperand()
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| /hardware/interfaces/neuralnetworks/1.3/vts/functional/ |
| D | BasicTests.cpp | 106 .zeroPoint = 0, in TEST_P()
116 .zeroPoint = 0, in TEST_P()
126 .zeroPoint = 0, in TEST_P()
136 .zeroPoint = 0, in TEST_P()
146 .zeroPoint = 0, in TEST_P()
156 .zeroPoint = 0, in TEST_P()
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| D | MemoryDomainTests.cpp | 91 .zeroPoint = 0, in createInt32Scalar()
107 .zeroPoint = 0, in createConvModel()
115 .zeroPoint = 0, in createConvModel()
162 .zeroPoint = 0, in createSingleAddModel()
280 .zeroPoint = 0,
289 .zeroPoint = 0,
298 .zeroPoint = 0,
307 .zeroPoint = 0,
521 ASSERT_NE(conflictTestOperand.zeroPoint, 10); in TEST_P()
522 conflictTestOperand.zeroPoint = 10; in TEST_P()
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| D | ValidateModel.cpp | 109 .zeroPoint = 0, in addOperand()
230 size += sizeForBinder(operand.zeroPoint); in sizeForBinder()
521 model->main.operands[operand].zeroPoint = invalidZeroPoint; in mutateOperandZeroPointTest()
781 newOperand.zeroPoint = 0; in mutateOperand()
789 newOperand.zeroPoint = 0; in mutateOperand()
794 newOperand.zeroPoint = 0; in mutateOperand()
808 newOperand.zeroPoint = 0; in mutateOperand()
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| D | CompilationCachingTests.cpp | 132 .zeroPoint = 0, in createLargeTestModelImpl()
168 .zeroPoint = 0, in createLargeTestModelImpl()
180 .zeroPoint = 0, in createLargeTestModelImpl()
206 .zeroPoint = 0, in createLargeTestModelImpl()
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| D | GeneratedTestHarness.cpp | 236 .zeroPoint = op.zeroPoint, in createSubgraph()
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| /hardware/interfaces/neuralnetworks/1.2/vts/functional/ |
| D | BasicTests.cpp | 165 .zeroPoint = 0, in TEST_P()
175 .zeroPoint = 0, in TEST_P()
185 .zeroPoint = 0, in TEST_P()
195 .zeroPoint = 0, in TEST_P()
205 .zeroPoint = 0, in TEST_P()
215 .zeroPoint = 0, in TEST_P()
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| D | ValidateModel.cpp | 102 .zeroPoint = 0, in addOperand()
223 size += sizeForBinder(operand.zeroPoint); in sizeForBinder()
499 model->operands[operand].zeroPoint = invalidZeroPoint; in mutateOperandZeroPointTest()
753 newOperand.zeroPoint = 0; in mutateOperand()
761 newOperand.zeroPoint = 0; in mutateOperand()
766 newOperand.zeroPoint = 0; in mutateOperand()
780 newOperand.zeroPoint = 0; in mutateOperand()
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| D | GeneratedTestHarness.cpp | 107 .zeroPoint = op.zeroPoint, in createModel()
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| D | CompilationCachingTests.cpp | 129 .zeroPoint = 0, in createLargeTestModelImpl()
165 .zeroPoint = 0, in createLargeTestModelImpl()
177 .zeroPoint = 0, in createLargeTestModelImpl()
203 .zeroPoint = 0, in createLargeTestModelImpl()
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| /hardware/interfaces/neuralnetworks/1.3/ |
| D | types.hal | 38 * - zeroPoint: a 32 bit integer, in range [-128, 127].
41 * real_value = (integer_value - zeroPoint) * scale.
133 * the scales and zeroPoint can be different from input0 scale and zeroPoint.
144 * the scale and zeroPoint can be different from inputs' scale and zeroPoint.
229 * the scale and zeroPoint must be the same as input0.
253 * must have the same scale and zeroPoint as the output tensor.
256 * are allowed to have different scale and zeroPoint.
265 * the scale and zeroPoint values can be different from
268 * the scale and zeroPoint values can be different from input tensors.
344 * the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
[all …]
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| D | types.t | 319 int32_t zeroPoint;
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| /hardware/interfaces/neuralnetworks/1.2/ |
| D | types.hal | 98 * - zeroPoint: a 32 bit integer, in range [0, 65535].
101 * real_value = (integer_value - zeroPoint) * scale.
193 * the scales and zeroPoint can be different from input0 scale and zeroPoint.
201 * the scale and zeroPoint can be different from inputs' scale and zeroPoint.
284 * the scale and zeroPoint must be the same as input0.
307 * must have the same scale and zeroPoint as the output tensor.
316 * the scale and zeroPoint values can be different from
380 * the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
383 * the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint of 0
430 * the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
[all …]
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| D | types.t | 267 int32_t zeroPoint;
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| /hardware/qcom/neuralnetworks/hvxservice/1.0/ |
| D | HexagonModel.cpp | 40 .zeroPoint = operand.zeroPoint, in getOperandsInfo()
113 .offset = mOperands[operand].zeroPoint, in getShape()
170 ? (std::numeric_limits<uint8_t>::min() - operandInfo.zeroPoint) * operandInfo.scale in getQuantizationMin()
182 ? (std::numeric_limits<uint8_t>::max() - operandInfo.zeroPoint) * operandInfo.scale in getQuantizationMax()
196 float real_value = (quant_value - operandInfo.zeroPoint) * operandInfo.scale; in createQuantizationValue()
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| D | HexagonModel.h | 51 int32_t zeroPoint; member
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| /hardware/interfaces/neuralnetworks/1.0/ |
| D | types.hal | 50 * - zeroPoint: a 32 bit integer, in range [0, 255].
53 * real_value = (integer_value - zeroPoint) * scale.
112 * the scales and zeroPoint can be different from input0 scale and zeroPoint.
120 * the scale and zeroPoint can be different from inputs' scale and zeroPoint.
191 * the scale and zeroPoint must be the same as input0.
212 * must have the same scale and zeroPoint as the output tensor.
219 * For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor, the scale and zeroPoint
266 * the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
295 * the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
361 * the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
[all …]
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| D | types.t | 249 int32_t zeroPoint;
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| /hardware/interfaces/neuralnetworks/1.1/ |
| D | types.hal | 55 * the scale and zeroPoint must be the same as input0.
128 * the scale and zeroPoint must be the same as input0.
165 * the scale and zeroPoint must be the same as input0.
205 * the scale and zeroPoint must be the same as input0.
236 * the scale and zeroPoint must be the same as input0.
284 * the scale and zeroPoint must be the same as input0.
351 * the scale and zeroPoint must be the same as input0.
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