| /external/tensorflow/tensorflow/python/kernel_tests/ |
| batchtospace_op_test.py | 241 epsilon = 1e-5
248 delta=epsilon)
250 self.assertAllClose(x_jacob_t, x_jacob_n, rtol=1e-2, atol=epsilon)
299 epsilon = 1e-5
306 delta=epsilon)
308 self.assertAllClose(x_jacob_t, x_jacob_n, rtol=1e-2, atol=epsilon)
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/fraction/ |
| BigFraction.java | 219 * @param epsilon
221 * <code>epsilon</code> of <code>value</code>, in absolute terms.
228 public BigFraction(final double value, final double epsilon,
231 this(value, epsilon, Integer.MAX_VALUE, maxIterations);
239 * NOTE: This constructor is called with EITHER - a valid epsilon value and
241 * has no effect). OR - a valid maxDenominator value and the epsilon value
242 * set to zero (that way epsilon only has effect if there is an exact match
258 * @param epsilon
260 * <code>epsilon</code> of <code>value</code>, in absolute terms.
268 private BigFraction(final double value, final double epsilon,
[all...] |
| /external/deqp/external/openglcts/modules/glesext/tessellation_shader/ |
| esextcTessellationShaderTriangles.hpp | 65 * locations. Assume epsilon 1e-5. A single triangle should be drawn.
136 * second set. (assume epsilon 1e-5)
208 * found in the second captured set. [assume epsilon 1e-5].
|
| /external/eigen/Eigen/src/IterativeLinearSolvers/ |
| BiCGSTAB.h | 63 RealScalar eps2 = NumTraits<Scalar>::epsilon()*NumTraits<Scalar>::epsilon();
139 * and NumTraits<Scalar>::epsilon() for the tolerance.
|
| /external/tensorflow/tensorflow/python/keras/_impl/keras/ |
| constraints.py | 70 return w * (desired / (K.epsilon() + norms))
108 K.epsilon() + K.sqrt(K.sum(K.square(w), axis=self.axis, keepdims=True)))
155 return w * (desired / (K.epsilon() + norms))
|
| /external/antlr/antlr-3.4/tool/src/main/java/org/antlr/analysis/ |
| RuleClosureTransition.java | 49 super(Label.EPSILON, ruleStart);
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/ |
| SimpleScalarValueChecker.java | 38 private static final double DEFAULT_RELATIVE_THRESHOLD = 100 * MathUtils.EPSILON;
|
| /external/curl/tests/libtest/ |
| lib573.c | 98 fprintf(stderr, "connect time %e is < epsilon %e\n",
|
| /external/deqp/external/openglcts/modules/glesext/geometry_shader/ |
| esextcGeometryShaderLayeredFramebuffer.cpp | 333 #define EPSILON (1)
338 if (de::abs((int)data[0] - (int)ref_data[0]) > EPSILON ||
339 de::abs((int)data[1] - (int)ref_data[1]) > EPSILON ||
340 de::abs((int)data[2] - (int)ref_data[2]) > EPSILON ||
341 de::abs((int)data[3] - (int)ref_data[3]) > EPSILON)
345 << "Reference value is different than the rendered data (epsilon > " << EPSILON
356 #undef EPSILON
717 * If we asked for a FP-based clear, consider an epsilon. */
744 #define EPSILON (1
[all...] |
| /external/eigen/unsupported/Eigen/src/LevenbergMarquardt/ |
| LMcovar.h | 23 Scalar tol = std::sqrt(NumTraits<Scalar>::epsilon()) )
|
| /external/eigen/unsupported/Eigen/src/NonLinearOptimization/ |
| LevenbergMarquardt.h | 51 return sqrt(NumTraits<Scalar>::epsilon());
349 if (abs(actred) <= NumTraits<Scalar>::epsilon() && prered <= NumTraits<Scalar>::epsilon() && Scalar(.5) * ratio <= 1.)
351 if (delta <= NumTraits<Scalar>::epsilon() * xnorm)
353 if (gnorm <= NumTraits<Scalar>::epsilon())
599 if (abs(actred) <= NumTraits<Scalar>::epsilon() && prered <= NumTraits<Scalar>::epsilon() && Scalar(.5) * ratio <= 1.)
601 if (delta <= NumTraits<Scalar>::epsilon() * xnorm)
603 if (gnorm <= NumTraits<Scalar>::epsilon())
|
| covar.h | 9 Scalar tol = std::sqrt(NumTraits<Scalar>::epsilon()) )
|
| fdjac1.h | 28 const Scalar epsmch = NumTraits<Scalar>::epsilon();
|
| /external/libmojo/ui/gfx/geometry/ |
| size_f.h | 68 static constexpr float kTrivial = 8.f * std::numeric_limits<float>::epsilon();
|
| /external/lmfit/lib/ |
| lmstruct.h | 43 double epsilon; /* Step used to calculate the Jacobian, should be member in struct:__anon28499
|
| /external/opencv/cvaux/src/ |
| _cvvm.h | 58 /* Epsilon and real zero */
59 #define EPSILON 1.e-4
60 //#define REAL_ZERO(x) ( (x) < EPSILON && (x) > -EPSILON)
|
| /external/protobuf/python/google/protobuf/internal/ |
| descriptor_pool_test1.proto | 48 EPSILON = 5;
|
| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| api_def_FusedBatchNorm.pbtxt | 76 name: "epsilon"
|
| api_def_FusedBatchNormGrad.pbtxt | 78 name: "epsilon"
|
| api_def_FusedBatchNormGradV2.pbtxt | 84 name: "epsilon"
|
| api_def_FusedBatchNormV2.pbtxt | 82 name: "epsilon"
|
| /external/tensorflow/tensorflow/core/kernels/ |
| mkl_fused_batch_norm_op.cc | 51 float epsilon; local
52 OP_REQUIRES_OK(context, context->GetAttr("epsilon", &epsilon));
53 epsilon_ = T(epsilon);
348 float epsilon; local
349 OP_REQUIRES_OK(context, context->GetAttr("epsilon", &epsilon));
350 epsilon_ = T(epsilon);
693 float epsilon; local
694 OP_REQUIRES_OK(context, context->GetAttr("epsilon", &epsilon))
1036 float epsilon; local
[all...] |
| training_ops_test.cc | 177 auto epsilon = Scalar(g, 1e-8); local
181 {var, m, v, beta1_power, beta2_power, lr, beta1, beta2, epsilon, grad});
218 auto epsilon = Scalar(g, 1e-8); local
221 {var, ms, mom, lr, rho, momentum, epsilon, grad});
|
| /external/tensorflow/tensorflow/tools/api/golden/ |
| tensorflow.losses.pbtxt | 49 argspec: "args=[\'labels\', \'predictions\', \'weights\', \'epsilon\', \'scope\', \'loss_collection\', \'reduction\'], varargs=None, keywords=None, defaults=[\'1.0\', \'1e-07\', \'None\', \'losses\', \'weighted_sum_by_nonzero_weights\'], "
|
| /external/vulkan-validation-layers/libs/glm/gtx/ |
| vector_angle.inl | 50 //! \todo epsilon is hard coded to 0.01
|
