| /external/tensorflow/tensorflow/core/lib/bfloat16/ |
| bfloat16.h | 164 static bfloat16 epsilon() { function in struct:tensorflow::bfloat16
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| /external/tensorflow/tensorflow/examples/android/jni/object_tracking/ |
| object_detector.h | 71 } while (descriptor_area.size_ >= smallest_square_size - EPSILON);
|
| /external/webrtc/webrtc/base/ |
| helpers.cc | 305 std::numeric_limits<double>::epsilon());
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| /frameworks/native/libs/math/include/math/ |
| half.h | 197 inline static constexpr type epsilon() noexcept { return android::half(android::half::binary, 0x1400); }
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| /cts/tests/tests/animation/src/android/animation/cts/ |
| PropertyValuesHolderTest.java | 70 private static final float EPSILON = .001f;
399 assertEquals(expectedX, values[0], EPSILON);
400 assertEquals(expectedX * 2, values[1], EPSILON);
[all...] |
| /device/linaro/bootloader/edk2/AppPkg/Applications/Python/Python-2.7.2/Parser/ |
| spark.py | 355 # Compute \epsilon-kernel state's core and see if
371 # \epsilon-nonkernel state together; we'll need it right away.
417 # Check for \epsilon-nonkernel's core. Unfortunately we
|
| /external/clang/test/CodeGenCXX/ |
| mangle-ms.cpp | 166 void epsilon(int a[][10][20]) {} function
167 // CHECK-DAG: @"\01?epsilon@@YAXQAY19BE@H@Z"
168 // X64-DAG: @"\01?epsilon@@YAXQEAY19BE@H@Z"
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| /external/deqp/external/vulkancts/modules/vulkan/tessellation/ |
| vktTessellationFractionalSpacingTests.cpp | 173 const float epsilon = 0.001f; local
176 if (de::abs(seg.length - segmentsA[0].length) < epsilon)
178 else if (segmentsB.empty() || de::abs(seg.length - segmentsB[0].length) < epsilon)
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| /external/eigen/Eigen/src/Eigenvalues/ |
| EigenSolver.h | 327 const RealScalar precision = RealScalar(2)*NumTraits<RealScalar>::epsilon();
349 const RealScalar precision = RealScalar(2)*NumTraits<RealScalar>::epsilon();
462 const Scalar eps = NumTraits<Scalar>::epsilon();
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| /external/eigen/Eigen/src/QR/ |
| ColPivHouseholderQR.h | 384 : NumTraits<Scalar>::epsilon() * RealScalar(m_qr.diagonalSize());
509 RealScalar threshold_helper = numext::abs2<RealScalar>(m_colNormsUpdated.maxCoeff() * NumTraits<RealScalar>::epsilon()) / RealScalar(rows);
510 RealScalar norm_downdate_threshold = numext::sqrt(NumTraits<RealScalar>::epsilon());
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| /external/guava/guava-tests/test/com/google/common/hash/ |
| HashingTest.java | 126 // goodFastHash(32) uses Murmur3_32. Use the same epsilon bounds.
135 // goodFastHash(128) uses Murmur3_128. Use the same epsilon bounds.
144 // goodFastHash(256) uses Murmur3_128. Use the same epsilon bounds.
|
| /external/python/cpython2/Parser/ |
| spark.py | 355 # Compute \epsilon-kernel state's core and see if
371 # \epsilon-nonkernel state together; we'll need it right away.
417 # Check for \epsilon-nonkernel's core. Unfortunately we
|
| /external/robolectric-shadows/robolectric/src/test/java/org/robolectric/shadows/ |
| ShadowMatrixTest.java | 19 private static final float EPSILON = 1e-7f;
502 .isCloseTo(expected.x, Offset.offset(EPSILON));
504 .isCloseTo(expected.y, Offset.offset(EPSILON));
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| /external/tensorflow/tensorflow/compiler/xla/tools/parser/ |
| hlo_parser.cc | 847 optional<float> epsilon; local
848 attrs["epsilon"] = {/*required=*/true, AttrTy::kFloat, &epsilon};
859 /*offset=*/operands[2], *epsilon, *feature_index));
863 optional<float> epsilon; local
864 attrs["epsilon"] = {/*required=*/true, AttrTy::kFloat, &epsilon};
876 /*variance=*/operands[4], *epsilon, *feature_index));
880 optional<float> epsilon; local
881 attrs["epsilon"] = {/*required=*/true, AttrTy::kFloat, &epsilon}
[all...] |
| /external/tensorflow/tensorflow/contrib/tensor_forest/client/ |
| random_forest.py | 48 EPSILON = 0.000001
180 1.0 - class_1_probs, EPSILON), EPSILON))
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| /external/tensorflow/tensorflow/core/ops/ |
| training_ops_test.cc | 282 // beta1_power, beta2_power, lr, beta1, beta2, and epsilon must be scalars.
305 // lr, rho, momentum, and epsilon must be scalars.
328 // lr, rho, momentum, and epsilon must be scalars.
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| /external/tensorflow/tensorflow/python/keras/_impl/keras/ |
| callbacks_test.py | 324 ) < keras.backend.epsilon()
352 # This should reduce the LR after the first epoch (due to high epsilon).
357 epsilon=10,
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| /external/tensorflow/tensorflow/python/kernel_tests/ |
| cwise_ops_test.py | [all...] |
| /external/tensorflow/tensorflow/tools/api/golden/ |
| tensorflow.keras.backend.pbtxt | 49 argspec: "args=[\'x\', \'mean\', \'var\', \'beta\', \'gamma\', \'epsilon\'], varargs=None, keywords=None, defaults=[\'0.001\'], "
144 name: "epsilon"
301 argspec: "args=[\'x\', \'gamma\', \'beta\', \'reduction_axes\', \'epsilon\'], varargs=None, keywords=None, defaults=[\'0.001\'], "
|
| /frameworks/base/core/tests/coretests/src/android/text/ |
| LayoutTest.java | 604 final float epsilon = 1.0f; local
609 assertTrue(bounds.top >= layout.getLineTop(i) - epsilon);
610 assertTrue(bounds.bottom <= layout.getLineBottom(i) + epsilon);
|
| /frameworks/layoutlib/bridge/src/android/graphics/ |
| Path_Delegate.java | 60 private static final float EPSILON = 1e-4f;
695 if (Math.abs(dx) < EPSILON && Math.abs(dy) < EPSILON) {
|
| /prebuilts/gcc/linux-x86/host/x86_64-linux-glibc2.15-4.8/x86_64-linux/include/c++/4.8/tr1/ |
| bessel_function.tcc | 100 if (std::abs(__mu) < std::numeric_limits<_Tp>::epsilon())
152 const _Tp __eps = std::numeric_limits<_Tp>::epsilon();
430 if (std::abs(__term / __Jn) < std::numeric_limits<_Tp>::epsilon())
|
| /prebuilts/gcc/linux-x86/host/x86_64-w64-mingw32-4.8/x86_64-w64-mingw32/include/c++/4.8.3/tr1/ |
| bessel_function.tcc | 100 if (std::abs(__mu) < std::numeric_limits<_Tp>::epsilon())
152 const _Tp __eps = std::numeric_limits<_Tp>::epsilon();
430 if (std::abs(__term / __Jn) < std::numeric_limits<_Tp>::epsilon())
|
| /external/tensorflow/tensorflow/docs_src/performance/xla/ |
| operation_semantics.md | 25 <b> `BatchNormGrad(operand, scale, mean, variance, grad_output, epsilon, feature_index)` </b>
39 | `epsilon` | `float` | Epsilon value (\\(\epsilon\\)) |
50 \\( \nabla x = \nabla y * \gamma * \sqrt{\sigma^2+\epsilon} \\)
52 \\( \nabla \gamma = sum(\nabla y * (x - \mu) * \sqrt{\sigma^2 + \epsilon}) \\)
80 <b> `BatchNormInference(operand, scale, offset, mean, variance, epsilon, feature_index)` </b>
90 | `epsilon` | `float` | Epsilon value |
117 <b> `BatchNormTraining(operand, scale, offset, epsilon, feature_index)` </b
[all...] |
| /external/deqp/modules/gles3/functional/ |
| es3fTextureUnitTests.cpp | 588 const float epsilon = 0.01f; local
593 const deInt32 maxLevel = (lodMax + epsilon < 0.5f) ? (0) : (deCeilFloatToInt32(lodMax + epsilon + 0.5f) - 1);
594 const deInt32 minLevel = (lodMin - epsilon < 0.5f) ? (0) : (deCeilFloatToInt32(lodMin - epsilon + 0.5f) - 1);
[all...] |
