| /external/libvpx/libvpx/ |
| CHANGELOG | 402 ARM optimized quantization, dfct, variance, subtract
477 Adds armv6 optimized variance calculation
479 ARMv6 optimized half pixel variance calculations
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| /external/tensorflow/tensorflow/contrib/bayesflow/python/kernel_tests/ |
| csiszar_divergence_test.py | 594 # Variance is very high when approximating Forward KL, so we make
634 # Variance is very high when approximating Forward KL, so we make
916 # Variance is very high when approximating Forward KL, so we make
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| /external/tensorflow/tensorflow/contrib/slim/python/slim/nets/ |
| inception_v3.py | 694 batch_norm_epsilon: Small float added to variance to avoid division by zero
704 # epsilon to prevent 0s in variance.
710 # collection containing the moving mean and moving variance.
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| /external/tensorflow/tensorflow/docs_src/performance/xla/ |
| operation_semantics.md | 25 <b> `BatchNormGrad(operand, scale, mean, variance, grad_output, epsilon, feature_index)` </b>
34 | `variance` | `ComputationDataHandle` | 1 dimensional array |
56 The inputs `mean` and `variance` represents moments value
80 <b> `BatchNormInference(operand, scale, offset, mean, variance, epsilon, feature_index)` </b>
89 | `variance` | `ComputationDataHandle` | 1 dimensional array |
95 feature dimension in `operand`), the operation calculates the mean and variance
96 across all the other dimensions and uses the mean and variance to normalize each
101 computing `mean` and `variance` for each batch. It uses the input `mean` and
102 `variance` instead as estimated values. The purpose of this op is to reduce
132 feature dimension in `operand`), the operation calculates the mean and variance
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| /frameworks/native/libs/vr/libpdx_default_transport/ |
| pdx_benchmarks.cpp | 584 // Samples for variance calculation.
909 const double variance = sum_of_squared_deviations / latency_samples_ns.size(); local
910 const double standard_deviation = std::sqrt(variance);
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| /frameworks/support/v7/appcompat/src/androidTest/java/androidx/appcompat/widget/ |
| AppCompatBaseViewTest.java | 377 // translucent color on top of solid fill color. This is where the allowed variance
446 // translucent color on top of solid fill color. This is where the allowed variance
589 // translucent color on top of solid fill color. This is where the allowed variance
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| /cts/apps/CameraITS/tests/scene5/ |
| test_lens_shading_and_color_uniformity.py | 34 radius of the image, the variance of r/g and b/g value need to be less than
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| /cts/apps/CtsVerifier/assets/scripts/ |
| execute_power_tests.py | 348 # with low-variance around the mean current draw.
351 # variance of the samples is low enough to validate baseline.
413 variance. We use a criteria that allows for a certain fraction of
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| /cts/tests/sensor/src/android/hardware/cts/helpers/ |
| SensorCtsHelper.java | 92 * Calculate the bias-corrected sample variance of a collection.
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| /device/linaro/bootloader/edk2/MdeModulePkg/Universal/Network/Tcp4Dxe/ |
| Tcp4Proto.h | 226 UINT32 RttVar; ///< RTT variance, scaled by 8
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| /device/linaro/bootloader/edk2/NetworkPkg/TcpDxe/ |
| TcpProto.h | 303 UINT32 RttVar; ///< RTT variance, scaled by 8.
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| /device/linaro/bootloader/edk2/StdLib/Include/net/ |
| route.h | 73 u_long rmx_rttvar; /* estimated rtt variance */
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| /external/libvpx/libvpx/vp8/common/ |
| mfqe.c | 22 #include "vpx_dsp/variance.h"
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| /external/libvpx/libvpx/vpx_dsp/arm/ |
| variance_neon.c | 22 // The variance helper functions use int16_t for sum. 8 values are accumulated
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| /external/libvpx/libvpx/vpx_dsp/ |
| psnr.c | 26 /* TODO(yaowu): The block_variance calls the unoptimized versions of variance()
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| /external/mesa3d/src/mesa/main/ |
| texcompress_fxt1.c | 306 fxt1_variance (GLdouble variance[MAX_COMP],
326 if (variance) {
327 variance[i] = var;
1055 /* Scan the channel with max variance for lo & hi
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| /external/tensorflow/tensorflow/contrib/bayesflow/python/ops/ |
| variational_sgd_optimizer.py | 191 # Create an estimator for the moving average of gradient mean and variance
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| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| binomial.py | 161 (e.g., mean, mode, variance) use the value "`NaN`" to indicate the
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| gumbel.py | 119 statistics (e.g., mean, mode, variance) use the value "`NaN`" to
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| independent.py | 208 return self.distribution.variance()
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| kumaraswamy.py | 149 (e.g., mean, mode, variance) use the value "`NaN`" to indicate the
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| logistic.py | 114 (e.g., mean, mode, variance) use the value "`NaN`" to indicate the
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| mvn_diag_plus_low_rank.py | 210 statistics (e.g., mean, mode, variance) use the value "`NaN`" to
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| onehot_categorical.py | 113 (e.g., mean, mode, variance) use the value "`NaN`" to indicate the
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| relaxed_bernoulli.py | 160 (e.g., mean, mode, variance) use the value "`NaN`" to indicate the
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