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/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_3/
H A Dfully_connected_quant8_signed.mod.py23 bias = Parameter("b0", "TENSOR_INT32", "{3}, 0.25f, 0", [4, 8, 12]) variable
43 bias = Parameter("b0", "TENSOR_INT32", "{1}, 0.04, 0", [10]) variable
46 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
62 bias = Input("b0", "TENSOR_INT32", "{1}, 0.04, 0") variable
65 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
72 bias:
85 bias = Parameter("b0", "TENSOR_INT32", "{1}, 0.25f, 0", [4]) variable
104 bias = Input("b0", "TENSOR_INT32", "{1}, 0.25f, 0") variable
113 bias: [4]}
125 bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [4]) variable
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H A Dunidirectional_sequence_rnn.mod.py19 def test(name, input, weights, recurrent_weights, bias, hidden_state, argument
26 recurrent_weights, bias, hidden_state, activation,
33 bias: bias_data,
185 bias=Input("bias", "TENSOR_FLOAT32", "{{{}}}".format(num_units)),
211 bias=Input("bias", "TENSOR_FLOAT32", "{{{}}}".format(num_units)),
/aosp12/hardware/invensense/6515/libsensors_iio/software/core/mllite/
H A Ddata_builder.h253 void inv_get_compass_bias(long *bias);
255 void inv_set_compass_bias(const long *bias, int accuracy);
257 void inv_set_gyro_bias(const long *bias);
258 void inv_set_mpl_gyro_bias(const long *bias, int accuracy);
259 void inv_set_accel_bias(const long *bias);
278 void inv_get_mpl_gyro_bias(long *bias, long *temp);
279 void inv_get_gyro_bias(long *bias);
280 void inv_get_gyro_bias_dmp_units(long *bias);
282 void inv_get_mpl_accel_bias(long *bias, long *temp);
283 void inv_get_accel_bias(long *bias);
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H A Ddata_builder.c717 if (bias != NULL) { in inv_get_compass_bias()
757 if (!bias) in inv_set_accel_bias()
784 if (bias) { in inv_set_accel_bias_mask()
818 if (!bias) in inv_set_gyro_bias()
891 if (bias != NULL) in inv_get_mpl_gyro_bias()
907 if (bias == NULL) in inv_get_gyro_bias_dmp_units()
923 if (bias != NULL) in inv_get_gyro_bias()
936 long bias[3]; in inv_get_factory_accel_bias_mask() local
961 if (bias != NULL) in inv_get_accel_bias()
972 if (bias != NULL) in inv_get_mpl_accel_bias()
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/aosp12/hardware/interfaces/gnss/2.1/
H A DIGnssMeasurementCallback.hal33 * A valid full inter-signal bias is stored in the data structure.
37 * A valid full inter-signal bias uncertainty is stored in the data structure.
41 * A valid satellite inter-signal bias is stored in the data structure.
80 * The full inter-signal bias (ISB) in nanoseconds.
83 * inter-system bias, inter-frequency bias and inter-code bias, including
89 * - Receiver inter-code bias (with respect to the code type in
104 * The value does not include the inter-frequency Ionospheric bias.
119 * The satellite inter-signal bias in nanoseconds.
121 * This value is the sum of the space-segment-side inter-system bias, inter-frequency bias
122 * and inter-code bias, including
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/aosp12/hardware/invensense/65xx/libsensors_iio/software/core/mllite/
H A Ddata_builder.c512 if (bias != NULL) { in inv_get_compass_bias()
552 if (!bias) in inv_set_accel_bias()
579 if (bias) { in inv_set_accel_bias_mask()
604 if (!bias) in inv_set_gyro_bias()
625 if (bias != NULL) { in inv_set_mpl_gyro_bias()
677 if (bias != NULL) in inv_get_mpl_gyro_bias()
693 if (bias == NULL) in inv_get_gyro_bias_dmp_units()
709 if (bias != NULL) in inv_get_gyro_bias()
722 long bias[3]; in inv_get_factory_accel_bias_mask() local
747 if (bias != NULL) in inv_get_accel_bias()
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H A Ddata_builder.h250 void inv_get_compass_bias(long *bias);
252 void inv_set_compass_bias(const long *bias, int accuracy);
254 void inv_set_gyro_bias(const long *bias);
255 void inv_set_mpl_gyro_bias(const long *bias, int accuracy);
256 void inv_set_accel_bias(const long *bias);
257 void inv_set_mpl_accel_bias(const long *bias, int accuracy);
275 void inv_get_mpl_gyro_bias(long *bias, long *temp);
276 void inv_get_gyro_bias(long *bias);
277 void inv_get_gyro_bias_dmp_units(long *bias);
279 void inv_get_mpl_accel_bias(long *bias, long *temp);
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/aosp12/packages/modules/NeuralNetworks/runtime/test/fuzzing/
H A DTestRandomGraph.cpp496 .quant8Asymm = {.bias = 1.2, .mse = 1.2, .atol = 2},
498 .quant8Symm = {.bias = 1.2, .mse = 1.2, .atol = 2},
500 .quant16Symm = {.bias = 1.2, .mse = 1.2, .atol = 2},
753 .quant8Asymm = {.bias = 2, .mse = 2, .atol = 12},
755 .quant8Symm = {.bias = 2, .mse = 2, .atol = 12},
756 .quant16Asymm = {.bias = 2, .mse = 2, .atol = 12},
757 .quant16Symm = {.bias = 2, .mse = 2, .atol = 12},
764 .quant8Asymm = {.bias = 2, .mse = 2, .atol = 12},
766 .quant8Symm = {.bias = 2, .mse = 2, .atol = 12},
767 .quant16Asymm = {.bias = 2, .mse = 2, .atol = 12},
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/aosp12/frameworks/native/services/surfaceflinger/tests/unittests/
H A DVSyncPredictorTest.cpp43 std::vector<nsecs_t> generateVsyncTimestamps(size_t count, nsecs_t period, nsecs_t bias) { in generateVsyncTimestamps() argument
46 [&, n = 0]() mutable { return n++ * period + bias; }); in generateVsyncTimestamps()
102 auto const bias = 10; in TEST_F() local
105 mNow += mPeriod - bias; in TEST_F()
108 mNow += bias; in TEST_F()
111 EXPECT_THAT(tracker.nextAnticipatedVSyncTimeFrom(mNow), Eq(mNow + mPeriod - bias)); in TEST_F()
454 auto const bias = 10; in TEST_F() local
457 mNow += mPeriod - bias; in TEST_F()
460 mNow += bias; in TEST_F()
473 tracker.isVSyncInPhase(mNow + i * mPeriod - bias, in TEST_F()
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/aosp12/packages/modules/NeuralNetworks/common/operations/
H A DLocalResponseNormalization.cpp52 int32_t radius, float bias, float alpha, float beta, in localResponseNormFloat32Impl() argument
73 float multiplier = std::pow(bias + alpha * sum, -beta); in localResponseNormFloat32Impl()
82 bool localResponseNorm(const T* inputData, const Shape& inputShape, int32_t radius, T bias, T alpha,
87 float bias, float alpha, float beta, int32_t axis, float* outputData,
96 .range = radius, .bias = bias, .alpha = alpha, .beta = beta};
102 return localResponseNormFloat32Impl(inputData, inputShape, radius, bias, alpha, beta, axis,
109 _Float16 bias, _Float16 alpha, _Float16 beta, int32_t axis,
116 localResponseNorm<float>(inputDataFloat32.data(), inputShape, radius, bias, alpha, beta, axis,
H A DQuantizedLSTM.cpp298 auto checkBiasShape = [&](const RunTimeOperandInfo* bias) -> bool { in prepare() argument
299 NN_RET_CHECK_EQ(NumDimensions(bias), 1); in prepare()
300 NN_RET_CHECK_EQ(SizeOfDimension(bias, 0), outputSize); in prepare()
301 NN_RET_CHECK_EQ(bias->scale, biasScale); in prepare()
302 NN_RET_CHECK_EQ(bias->zeroPoint, biasZeroPoint); in prepare()
365 void QuantizedLSTMCell::concatenateBiases(uint32_t outputSize, int32_t* bias) { in concatenateBiases() argument
368 memcpy(bias + 2 * outputSize, GetBuffer<int32_t>(forgetGateBias_), in concatenateBiases()
370 memcpy(bias + 3 * outputSize, GetBuffer<int32_t>(outputGateBias_), in concatenateBiases()
385 std::vector<int32_t> bias(getNumberOfElements(biasShape)); in eval() local
386 concatenateBiases(SizeOfDimension(prevOutput_, 1), bias.data()); in eval()
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H A DFullyConnected.cpp185 bool validateShapes(const Shape& input, const Shape& weights, const Shape& bias, in validateShapes() argument
192 NN_RET_CHECK(bias.type == OperandType::TENSOR_INT32); in validateShapes()
194 NN_RET_CHECK(bias.type == input.type); in validateShapes()
201 NN_RET_CHECK_EQ(getNumberOfDimensions(bias), 1); in validateShapes()
205 uint32_t bias_len = getSizeOfDimension(bias, 0); in validateShapes()
286 Shape bias = context->getInputShape(kBiasTensor); in validate() local
287 if (hasKnownRank(input) && hasKnownRank(weights) && hasKnownRank(bias)) { in validate()
288 NN_RET_CHECK(validateShapes(input, weights, bias)); in validate()
298 Shape bias = context->getInputShape(kBiasTensor); in prepare() local
300 NN_RET_CHECK(validateShapes(input, weights, bias, &output)); in prepare()
/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_2/
H A Dunidirectional_sequence_rnn.mod.py19 def test(name, input, weights, recurrent_weights, bias, hidden_state, argument
25 recurrent_weights, bias, hidden_state, activation,
31 bias: bias_data,
147 bias=Input("bias", "TENSOR_FLOAT32", "{{{}}}".format(num_units)),
169 bias=Input("bias", "TENSOR_FLOAT32", "{{{}}}".format(num_units)),
/aosp12/system/chre/platform/slpi/see/
H A Dsee_cal_helper.cc38 output[i] = input[i] - mCalInfo[index].cal.bias[i]; in applyCalibration()
68 biasData->readings[0].bias[i] = mCalInfo[index].cal.bias[i]; in getBias()
131 float bias[3], bool hasScale, in updateCalibration()
142 memcpy(calData.bias, bias, sizeof(calData.bias)); in updateCalibration()
/aosp12/frameworks/native/services/sensorservice/
H A DCorrectedGyroSensor.cpp59 const vec3_t bias(mSensorFusion.getGyroBias()); in process() local
61 outEvent->data[0] -= bias.x; in process()
62 outEvent->data[1] -= bias.y; in process()
63 outEvent->data[2] -= bias.z; in process()
/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_0/
H A Dfully_connected_float_large_weights_as_inputs.mod.py20 bias = Input("b0", "TENSOR_FLOAT32", "{1}") variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
30 bias:
H A Dfully_connected_float_weights_as_inputs.mod.py20 bias = Input("b0", "TENSOR_FLOAT32", "{1}") variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
29 bias: [4]}
H A Dfully_connected_quant8_large_weights_as_inputs.mod.py20 bias = Input("b0", "TENSOR_INT32", "{1}, 0.04, 0") variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
30 bias:
H A Dfully_connected_quant8_weights_as_inputs.mod.py20 bias = Input("b0", "TENSOR_INT32", "{1}, 0.25f, 0") variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
29 bias: [4]}
H A Drnn_state.mod.py26 bias = Input("bias", "TENSOR_FLOAT32", "{%d}" % (units)) variable
34 model = model.Operation("RNN", input, weights, recurrent_weights, bias, hidden_state_in,
80 bias: [
H A Dsvdf_state.mod.py27 bias = Input("bias", "TENSOR_FLOAT32", "{%d}" % (units)) variable
34 model = model.Operation("SVDF", input, weights_feature, weights_time, bias, state_in,
56 bias: [],
/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_1/
H A Dfully_connected_float_large_weights_as_inputs_relaxed.mod.py20 bias = Input("b0", "TENSOR_FLOAT32", "{1}") variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
31 bias:
H A Dfully_connected_float_weights_as_inputs_relaxed.mod.py20 bias = Input("b0", "TENSOR_FLOAT32", "{1}") variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
30 bias: [4]}
H A Drnn_state_relaxed.mod.py26 bias = Input("bias", "TENSOR_FLOAT32", "{%d}" % (units)) variable
34 model = model.Operation("RNN", input, weights, recurrent_weights, bias, hidden_state_in,
81 bias: [
/aosp12/frameworks/base/services/core/java/com/android/server/display/whitebalance/
H A DDisplayWhiteBalanceController.java378 float bias = mLowLightAmbientBrightnessToBiasSpline.interpolate(ambientBrightness); in updateAmbientColorTemperature() local
380 bias * ambientColorTemperature + (1.0f - bias) in updateAmbientColorTemperature()
382 mLatestLowLightBias = bias; in updateAmbientColorTemperature()
386 float bias = mHighLightAmbientBrightnessToBiasSpline.interpolate(ambientBrightness); in updateAmbientColorTemperature() local
388 (1.0f - bias) * ambientColorTemperature + bias in updateAmbientColorTemperature()
390 mLatestHighLightBias = bias; in updateAmbientColorTemperature()

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