Searched refs:value_max (Results 1 – 9 of 9) sorted by relevance
| /external/tensorflow/tensorflow/core/kernels/ |
| D | cwise_op_clip.cc | 82 UnaryClipFunc(const T& value_min, const T& value_max) in UnaryClipFunc()
83 : value_min(value_min), value_max(value_max) {} in UnaryClipFunc()
85 return std::max(std::min(value, value_max), value_min); in operator ()()
88 T value_max; member
104 const T operator()(const T& value, const T& value_max) const { in operator ()()
105 return std::max(std::min(value, value_max), value_min); in operator ()()
123 explicit BinaryLeftClipFunc(const T& value_max) : value_max(value_max) {} in BinaryLeftClipFunc()
125 return std::max(std::min(value, value_max), value_min); in operator ()()
127 T value_max; member
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| /external/libchrome/base/metrics/ |
| D | histogram_macros.h | 115 #define UMA_HISTOGRAM_EXACT_LINEAR(name, sample, value_max) \ argument
117 name, sample, value_max, base::HistogramBase::kUmaTargetedHistogramFlag)
134 #define UMA_HISTOGRAM_SCALED_EXACT_LINEAR(name, sample, count, value_max, \ argument
137 name, sample, count, value_max, scale, \
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| D | histogram_functions.cc | 22 int value_max) { in UmaHistogramExactLinear() argument
24 LinearHistogram::FactoryGet(name, 1, value_max, value_max + 1, in UmaHistogramExactLinear()
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| D | histogram_functions.h | 35 int value_max);
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| /external/tensorflow/tensorflow/stream_executor/ |
| D | dnn.proto | 58 // BatchDescriptor::value_max().
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| D | dnn.cc | 339 if (value_min() != value_max()) { in ToShortString()
340 absl::StrAppend(&suffix, "[", value_min(), ";", value_max(), "]"); in ToShortString()
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| D | dnn.h | 256 float value_max() const { return value_max_; } in value_max() function
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| /external/skia/include/core/ |
| D | SkTypes.h | 417 # define SK_HISTOGRAM_EXACT_LINEAR(name, sample, value_max) argument
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| /external/tensorflow/tensorflow/stream_executor/cuda/ |
| D | cuda_dnn.cc | 861 double value_max) in CudnnActivationDescriptor() argument
874 relu_ceiling = value_max; in CudnnActivationDescriptor()
3240 activation_mode, CUDNN_NOT_PROPAGATE_NAN, output_descriptor.value_max()); in DoFusedConvolveImpl()
3536 activation_mode, CUDNN_PROPAGATE_NAN, x_desc.value_max()); in DoBatchNormalizationForwardImpl()
4243 activation_mode, CUDNN_PROPAGATE_NAN, dimensions.value_max()); in DoActivate()
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