/hardware/qcom/camera/msm8998/QCamera2/util/ |
D | QCameraDisplay.cpp | 200 nsecs_t sum; in computeAverageVsyncInterval() local 211 sum = mVsyncIntervalHistory[0]; in computeAverageVsyncInterval() 215 sum += mVsyncIntervalHistory[j]; in computeAverageVsyncInterval() 222 sum = sum - vsyncMaxOutlier - vsyncMinOutlier; in computeAverageVsyncInterval() 223 mAvgVsyncInterval = sum / (CAMERA_NUM_VSYNC_INTERVAL_HISTORY - 2); in computeAverageVsyncInterval()
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/hardware/google/gchips/gralloc4/src/core/ |
D | format_info.h | 80 int sum = 0; in total_components() local 83 sum += n; in total_components() 85 return sum; in total_components()
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/hardware/qcom/display/msm8998/libqdutils/ |
D | profiler.cpp | 179 nsecs_t sum = 0; in calc_fps() local 181 sum += debug_fps_metadata.framearrivals[i]; in calc_fps() 183 (float)sum)); in calc_fps()
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/hardware/qcom/display/msm8996/libqdutils/ |
D | profiler.cpp | 178 nsecs_t sum = 0; in calc_fps() local 180 sum += debug_fps_metadata.framearrivals[i]; in calc_fps() 182 (float)sum)); in calc_fps()
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/hardware/qcom/display/msm8909/libqdutils/ |
D | profiler.cpp | 179 nsecs_t sum = 0; in calc_fps() local 181 sum += debug_fps_metadata.framearrivals[i]; in calc_fps() 183 (float)sum)); in calc_fps()
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/hardware/qcom/display/msm8960/libqdutils/ |
D | profiler.cpp | 174 nsecs_t sum = 0; in calc_fps() local 176 sum += debug_fps_metadata.framearrivals[i]; in calc_fps() 177 print_fps((debug_fps_metadata.period * float(1000000))/float(sum)); in calc_fps()
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/hardware/qcom/display/msm8226/libqdutils/ |
D | profiler.cpp | 178 nsecs_t sum = 0; in calc_fps() local 180 sum += debug_fps_metadata.framearrivals[i]; in calc_fps() 182 (float)sum)); in calc_fps()
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/hardware/qcom/display/msm8909w_3100/libqdutils/ |
D | profiler.cpp | 179 nsecs_t sum = 0; in calc_fps() local 181 sum += debug_fps_metadata.framearrivals[i]; in calc_fps() 183 (float)sum)); in calc_fps()
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/hardware/qcom/display/msm8084/libqdutils/ |
D | profiler.cpp | 178 nsecs_t sum = 0; in calc_fps() local 180 sum += debug_fps_metadata.framearrivals[i]; in calc_fps() 182 (float)sum)); in calc_fps()
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/hardware/invensense/65xx/libsensors_iio/software/core/mllite/ |
D | ml_math_func.c | 472 float d[6][6], sum = 0; in inv_matrix_det() local 480 sum = in inv_matrix_det() 481 sum + *(p + 6 * i + j) * SIGNM(i + in inv_matrix_det() 486 return (sum); in inv_matrix_det() 491 double d[6][6], sum = 0; in inv_matrix_detd() local 499 sum = in inv_matrix_detd() 500 sum + *(p + 6 * i + j) * SIGNM(i + in inv_matrix_detd() 505 return (sum); in inv_matrix_detd()
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/hardware/invensense/6515/libsensors_iio/software/core/mllite/ |
D | ml_math_func.c | 472 float d[6][6], sum = 0; in inv_matrix_det() local 480 sum = in inv_matrix_det() 481 sum + *(p + 6 * i + j) * SIGNM(i + in inv_matrix_det() 486 return (sum); in inv_matrix_det() 491 double d[6][6], sum = 0; in inv_matrix_detd() local 499 sum = in inv_matrix_detd() 500 sum + *(p + 6 * i + j) * SIGNM(i + in inv_matrix_detd() 505 return (sum); in inv_matrix_detd()
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/hardware/interfaces/tests/memory/2.0/ |
D | IMemoryInterface.hal | 9 // equal size, the first contains the byte-wise sum and the other the byte-
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/hardware/interfaces/tests/expression/1.0/ |
D | IExpression.hal | 63 // both treated int32_t, sum = (int64_t)(int32_t)0x80000000 = (int64_t)(-2147483648) 65 // 0x80000000 is uint32_t, sum = (int64_t)(uint32_t)0x7fffffff = (int64_t)(2147483647)
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/hardware/google/camera/common/profiler/ |
D | profiler.cc | 39 double sum = 0; in StandardDeviation() local 41 sum += pow((samples[i] - mean), 2); in StandardDeviation() 44 return static_cast<float>(sqrt(sum / (size - 1))); in StandardDeviation()
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/hardware/interfaces/camera/provider/2.6/ |
D | ICameraProvider.hal | 78 * sum up to > 100 for the concurrent set, to ensure arbitration between 82 * configuration settings exposed through camera metadata), should the sum
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/hardware/interfaces/gnss/2.1/ |
D | IGnssMeasurementCallback.hal | 82 * This value is the sum of the estimated receiver-side and the space-segment-side 121 * This value is the sum of the space-segment-side inter-system bias, inter-frequency bias
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/hardware/interfaces/renderscript/1.0/vts/functional/ |
D | VtsScriptTests.cpp | 279 int sum = 63*64/2; in TEST_P() local 280 EXPECT_EQ(sum, dataOut[0]); in TEST_P()
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/hardware/interfaces/camera/common/1.0/ |
D | types.hal | 278 * combination of camera devices exposed by the HAL where the sum of 315 * Since the sum of the resource costs is > 100, if a higher-priority
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/hardware/interfaces/gnss/1.0/ |
D | IGnssMeasurementCallback.hal | 210 * can be derived by subtracting the sum of fullBiasNs and biasNs (when 244 * The error estimate for the sum of this and the biasNs is the biasUncertaintyNs. 255 * The error estimate for the sum of this and the fullBiasNs is the
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/hardware/interfaces/neuralnetworks/1.0/ |
D | types.hal | 84 * dimensions. The output is the sum of both input tensors, optionally 118 * * 0: The sum, a tensor of the same {@link OperandType} as input0. 135 * ) / sum(1) 218 * tensors. The output shape is [D0, D1, ..., sum(Daxis(i)), ..., Dm]. 664 * sum(1)) 726 * given vector, each component is divided by the weighted, squared sum of 731 * sqr_sum[a, b, c, d] = sum(
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/hardware/interfaces/neuralnetworks/1.3/ |
D | types.hal | 97 * dimensions. The output is the sum of both input tensors, optionally 141 * * 0: The sum, a tensor of the same {@link OperandType} as input0. 159 * ) / sum(1) 263 * tensors. The output shape is [D0, D1, ..., sum(Daxis(i)), ..., Dm]. 890 * sum(1)) 964 * given vector, each component is divided by the weighted, squared sum of 969 * sqr_sum[a, b, c, d] = sum( 3526 * sum_{h, w}(input[b, h, w, c]) / sum(1) 3529 * sum_{h, w}(pow(input[b, h, w, c] - mean[b, c], 2)) / sum(1) 4456 * A sum of begin offset and a size of a slice must not exceed size of a [all …]
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/hardware/qcom/sm7250/media/mm-video-v4l2/vidc/venc/src/ |
D | video_encoder_device_v4l2.cpp | 2850 unsigned long long int sum = 0, weighted_sum = 0; in venc_empty_buf() local 2871 sum = in venc_empty_buf() 2880 compression_ratio = (weighted_sum && sum) ? in venc_empty_buf() 2881 ((256 * sum) << 16) / weighted_sum : compression_ratio; in venc_empty_buf()
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/hardware/interfaces/neuralnetworks/1.2/ |
D | types.hal | 160 * dimensions. The output is the sum of both input tensors, optionally 199 * * 0: The sum, a tensor of the same {@link OperandType} as input0. 216 * ) / sum(1) 314 * tensors. The output shape is [D0, D1, ..., sum(Daxis(i)), ..., Dm]. 894 * sum(1)) 968 * given vector, each component is divided by the weighted, squared sum of 973 * sqr_sum[a, b, c, d] = sum( 3318 * sum_{h, w}(input[b, h, w, c]) / sum(1) 3321 * sum_{h, w}(pow(input[b, h, w, c] - mean[b, c], 2)) / sum(1) 4218 * A sum of begin offset and a size of a slice must not exceed size of a
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/hardware/qcom/sm8150/media/mm-video-v4l2/vidc/venc/src/ |
D | video_encoder_device_v4l2.cpp | 4492 unsigned long long int sum = 0, weighted_sum = 0; in venc_empty_buf() local 4513 sum = in venc_empty_buf() 4522 compression_ratio = (weighted_sum && sum) ? in venc_empty_buf() 4523 ((256 * sum) << 16) / weighted_sum : compression_ratio; in venc_empty_buf()
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/hardware/interfaces/automotive/vehicle/2.0/ |
D | types.hal | 603 * be the sum of the ranges based on fuel and battery.
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