| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| D | batch_norm_op.cc | 29 OP_REQUIRES_OK(ctx, ctx->GetAttr("epsilon", &epsilon_)); in FusedBatchNormOp()
66 input, ctx->Input(1), ctx->Input(2), epsilon_, feature_index); in Compile()
84 epsilon_, feature_index); in Compile()
95 float epsilon_; member in tensorflow::__anonfc91c4b10111::FusedBatchNormOp
106 OP_REQUIRES_OK(ctx, ctx->GetAttr("epsilon", &epsilon_)); in FusedBatchNormGradOp()
152 epsilon_, feature_index); in Compile()
175 b->Pow(b->Add(var, b->ConstantR0<float>(epsilon_)), neg_half); in Compile()
197 float epsilon_; member in tensorflow::__anonfc91c4b10111::FusedBatchNormGradOp
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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/compiler/xla/service/gpu/ |
| D | cudnn_batchnorm_thunk.cc | 91 epsilon_(epsilon), in CudnnBatchNormForwardInferenceThunk()
118 epsilon_, // in ExecuteOnStream()
145 epsilon_(epsilon), in CudnnBatchNormForwardTrainingThunk()
187 epsilon_, // in ExecuteOnStream()
225 epsilon_(epsilon), in CudnnBatchNormBackwardThunk()
268 operand_desc, scale_offset_desc, epsilon_, &output_grad_data, in ExecuteOnStream()
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| D | cudnn_batchnorm_thunk.h | 71 float epsilon_; variable
99 float epsilon_; variable
134 float epsilon_; variable
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | mkl_fused_batch_norm_op.cc | 53 epsilon_ = T(epsilon); in MklFusedBatchNormOp()
114 mkl_context.mkl_lt_input, static_cast<float>(epsilon_), in Compute()
210 T epsilon_; member in tensorflow::MklFusedBatchNormOp
350 epsilon_ = T(epsilon); in MklFusedBatchNormGradOp()
403 mkl_context.mkl_lt_input, static_cast<float>(epsilon_), in Compute()
489 T epsilon_; member in tensorflow::MklFusedBatchNormGradOp
695 epsilon_ = T(epsilon); in MklFusedBatchNormOp()
861 pk, src.GetUsrMemDesc(), epsilon_, in Compute()
932 T epsilon_; member in tensorflow::MklFusedBatchNormOp
1038 epsilon_ = T(epsilon); in MklFusedBatchNormGradOp()
[all …]
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| D | fused_batch_norm_op.cc | 508 epsilon_ = U(epsilon); in FusedBatchNormOp()
567 context, x, scale, offset, estimated_mean, estimated_variance, epsilon_, in Compute()
573 U epsilon_; member in tensorflow::FusedBatchNormOp
585 epsilon_ = U(epsilon); in FusedBatchNormGradOp()
659 saved_maybe_inv_var_or_pop_var, epsilon_, x_backprop, scale_backprop, in Compute()
677 saved_mean_or_pop_mean, saved_maybe_inv_var_or_pop_var, epsilon_, in Compute()
684 U epsilon_; member in tensorflow::FusedBatchNormGradOp
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| /external/tensorflow/tensorflow/contrib/boosted_trees/kernels/ |
| D | quantile_ops.cc | 231 OP_REQUIRES_OK(context, context->GetAttr(kEpsilonName, &epsilon_)); in CreateQuantileAccumulatorOp()
244 auto result = new QuantileStreamResource(epsilon_, num_quantiles_, in Compute()
254 float epsilon_; member in tensorflow::CreateQuantileAccumulatorOp
347 OP_REQUIRES_OK(context, context->GetAttr(kEpsilonName, &epsilon_)); in MakeQuantileSummariesOp()
403 QuantileStream stream(epsilon_, batch_size + 1); in Compute()
423 QuantileStream stream(epsilon_, batch_size + 1); in Compute()
449 float epsilon_; member in tensorflow::MakeQuantileSummariesOp
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| /external/tensorflow/tensorflow/python/keras/_impl/keras/ |
| D | backend.py | 3332 epsilon_ = _to_tensor(epsilon(), output.dtype.base_dtype)
3333 output = clip_ops.clip_by_value(output, epsilon_, 1. - epsilon_)
3359 epsilon_ = _to_tensor(epsilon(), output.dtype.base_dtype)
3360 output = clip_ops.clip_by_value(output, epsilon_, 1 - epsilon_)
3393 epsilon_ = _to_tensor(epsilon(), output.dtype.base_dtype)
3394 output = clip_ops.clip_by_value(output, epsilon_, 1 - epsilon_)
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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/ImageMagick/Magick++/lib/Magick++/ |
| D | Image.h | 1128 void perceptible(const double epsilon_);
1129 void perceptibleChannel(const ChannelType channel_,const double epsilon_);
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| /external/tensorflow/tensorflow/compiler/xla/service/ |
| D | hlo_instruction.h | 839 float epsilon() const { return epsilon_; } in epsilon()
1472 float epsilon_ = 0.0f; variable
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| D | hlo_instruction.cc | 142 instruction->epsilon_ = proto.epsilon(); in CreateFromProto()
607 instruction->epsilon_ = epsilon; in CreateBatchNormTraining()
624 instruction->epsilon_ = epsilon; in CreateBatchNormInference()
642 instruction->epsilon_ = epsilon; in CreateBatchNormGrad()
2378 proto.set_epsilon(epsilon_); in ToProto()
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| /external/ImageMagick/Magick++/lib/ |
| D | Image.cpp | 3757 void Magick::Image::perceptible(const double epsilon_) in perceptible() argument
3761 PerceptibleImage(image(),epsilon_,exceptionInfo); in perceptible()
3766 const double epsilon_) in perceptibleChannel() argument
3771 PerceptibleImage(image(),epsilon_,exceptionInfo); in perceptibleChannel()
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