| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| D | batch_norm_op.cc | 32 OP_REQUIRES_OK(ctx, ctx->GetAttr("epsilon", &epsilon_)); in FusedBatchNormOp()
63 input, ctx->Input(1), ctx->Input(2), epsilon_, feature_index); in Compile()
85 variance, xla::ScalarLike(variance, epsilon_)))); in Compile()
92 epsilon_, feature_index); in Compile()
103 float epsilon_; member in tensorflow::__anonfc91c4b10111::FusedBatchNormOp
115 OP_REQUIRES_OK(ctx, ctx->GetAttr("epsilon", &epsilon_)); in FusedBatchNormGradOp()
161 xla::XlaOp epsilon = xla::ScalarLike(var, epsilon_); in Compile()
167 epsilon_, feature_index); in Compile()
193 auto epsilon = XlaHelpers::FloatLiteral(b, scale_dtype, epsilon_); in Compile()
219 float epsilon_; member in tensorflow::__anonfc91c4b10111::FusedBatchNormGradOp
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| D | xla_self_adjoint_eig_op.cc | 29 OP_REQUIRES_OK(ctx, ctx->GetAttr("epsilon", &epsilon_)); in XlaSelfAdjointEigOp()
33 xla::SelfAdjointEig(ctx->Input(0), lower_, max_iter_, epsilon_); in Compile()
41 float epsilon_; member in tensorflow::__anon8db77a3e0111::XlaSelfAdjointEigOp
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| D | xla_svd_op.cc | 29 OP_REQUIRES_OK(ctx, ctx->GetAttr("epsilon", &epsilon_)); in XlaSvdOp()
42 auto result = xla::SVD(ctx->Input(0), max_iter_, epsilon_, in Compile()
51 float epsilon_; member in tensorflow::__anon8179f0250111::XlaSvdOp
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| /external/tensorflow/tensorflow/contrib/boosted_trees/resources/ |
| D | quantile_stream_resource.h | 39 epsilon_(epsilon), in QuantileStreamResource()
66 float epsilon() const { return epsilon_; } in epsilon()
71 stream_ = QuantileStream(epsilon_, max_elements_); in Reset()
101 const float epsilon_; variable
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| /external/tensorflow/tensorflow/core/kernels/boosted_trees/quantiles/ |
| D | quantile_stream_resource.h | 37 epsilon_(epsilon), in BoostedTreesQuantileStreamResource()
62 float epsilon() const { return epsilon_; } in epsilon()
86 const float epsilon_; variable
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| /external/tensorflow/tensorflow/compiler/xla/service/gpu/ |
| D | cudnn_batchnorm_thunk.cc | 90 epsilon_(epsilon), in CudnnBatchNormForwardInferenceThunk()
119 epsilon_, // in ExecuteOnStream()
147 epsilon_(epsilon), in CudnnBatchNormForwardTrainingThunk()
191 epsilon_, // in ExecuteOnStream()
229 epsilon_(epsilon), in CudnnBatchNormBackwardThunk()
274 operand_desc, scale_offset_desc, epsilon_, &output_grad_data, in ExecuteOnStream()
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| D | cudnn_batchnorm_thunk.h | 73 float epsilon_; variable
102 float epsilon_; variable
138 float epsilon_; variable
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| /external/tensorflow/tensorflow/contrib/boosted_trees/kernels/ |
| D | quantile_ops.cc | 233 OP_REQUIRES_OK(context, context->GetAttr(kEpsilonName, &epsilon_)); in CreateQuantileAccumulatorOp()
249 context, epsilon_ > 0, in Compute()
251 auto result = new QuantileStreamResource(epsilon_, num_quantiles_, in Compute()
261 float epsilon_; member in tensorflow::CreateQuantileAccumulatorOp
355 OP_REQUIRES_OK(context, context->GetAttr(kEpsilonName, &epsilon_)); in MakeQuantileSummariesOp()
411 QuantileStream stream(epsilon_, batch_size + 1); in Compute()
431 QuantileStream stream(epsilon_, batch_size + 1); in Compute()
457 float epsilon_; member in tensorflow::MakeQuantileSummariesOp
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | fused_batch_norm_op.cc | 529 epsilon_ = U(epsilon); in FusedBatchNormOp()
588 context, x, scale, offset, estimated_mean, estimated_variance, epsilon_, in Compute()
594 U epsilon_; member in tensorflow::FusedBatchNormOp
606 epsilon_ = U(epsilon); in FusedBatchNormGradOp()
680 saved_maybe_inv_var_or_pop_var, epsilon_, x_backprop, scale_backprop, in Compute()
698 saved_mean_or_pop_mean, saved_maybe_inv_var_or_pop_var, epsilon_, in Compute()
705 U epsilon_; member in tensorflow::FusedBatchNormGradOp
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| D | mkl_fused_batch_norm_op.cc | 502 epsilon_ = T(epsilon); in MklFusedBatchNormOp()
640 MklBatchNormFwdParams fwdParams(src_dims, depth_, epsilon_, is_training_); in Compute()
717 T epsilon_; member in tensorflow::MklFusedBatchNormOp
825 epsilon_ = T(epsilon); in MklFusedBatchNormGradOp()
956 MklBatchNormBwdParams bwdParams(src_dims, diff_dst_dims, depth_, epsilon_, in Compute()
1041 T epsilon_; member in tensorflow::MklFusedBatchNormGradOp
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| D | conv_ops_fused_impl.h | 887 OP_REQUIRES_OK(context, context->GetAttr("epsilon", &epsilon_));
931 args.epsilon = epsilon_;
954 float epsilon_; // Used only in FusedBatchNorm fusion
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_MatrixSolveLs.pbtxt | 59 \\(\mathrm{cond}(A) \lt \frac{1}{\sqrt{\epsilon_{mach} } }\\) or \\(\lambda\\) is
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| /external/tensorflow/tensorflow/python/keras/ |
| D | backend.py | 3922 epsilon_ = _to_tensor(epsilon(), output.dtype.base_dtype)
3923 output = clip_ops.clip_by_value(output, epsilon_, 1. - epsilon_)
3959 epsilon_ = _to_tensor(epsilon(), output.dtype.base_dtype)
3960 output = clip_ops.clip_by_value(output, epsilon_, 1 - epsilon_)
4005 epsilon_ = _to_tensor(epsilon(), output.dtype.base_dtype)
4006 output = clip_ops.clip_by_value(output, epsilon_, 1. - epsilon_)
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| /external/ImageMagick/Magick++/lib/Magick++/ |
| D | Image.h | 1142 void perceptible(const double epsilon_);
1143 void perceptibleChannel(const ChannelType channel_,const double epsilon_);
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| /external/tensorflow/tensorflow/compiler/xla/service/ |
| D | hlo_instructions.h | 34 float epsilon() const { return epsilon_; } in epsilon()
53 float epsilon_ = 0.0f; variable
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| D | hlo_instructions.cc | 77 epsilon_(epsilon), in HloBatchNormInstruction()
94 proto.set_epsilon(epsilon_); in ToProto()
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| /external/ImageMagick/Magick++/lib/ |
| D | Image.cpp | 3819 void Magick::Image::perceptible(const double epsilon_) in perceptible() argument
3823 PerceptibleImage(image(),epsilon_,exceptionInfo); in perceptible()
3828 const double epsilon_) in perceptibleChannel() argument
3833 PerceptibleImage(image(),epsilon_,exceptionInfo); in perceptibleChannel()
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