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/external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/
Dnas_job.proto36 // Represents a Neural Architecture Search (NAS) job.
129 // The spec of multi-trial Neural Architecture Search (NAS).
159 // Required. The maximum number of Neural Architecture Search (NAS) trials
198 // The Reinforcement Learning Algorithm for Multi-trial Neural
202 // The Grid Search Algorithm for Multi-trial Neural
207 // The multi-trial Neural Architecture Search (NAS) algorithm
225 // The Neural Architecture Search (NAS) algorithm specification.
237 // It defines the search space for Neural Architecture Search (NAS).
243 // The output of a multi-trial Neural Architecture Search (NAS) jobs.
254 // The output of this Neural Architecture Search (NAS) job.
[all …]
/external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/
Dnas_job.proto36 // Represents a Neural Architecture Search (NAS) job.
129 // The spec of multi-trial Neural Architecture Search (NAS).
159 // Required. The maximum number of Neural Architecture Search (NAS) trials
198 // The Reinforcement Learning Algorithm for Multi-trial Neural
202 // The Grid Search Algorithm for Multi-trial Neural
207 // The multi-trial Neural Architecture Search (NAS) algorithm
225 // The Neural Architecture Search (NAS) algorithm specification.
237 // It defines the search space for Neural Architecture Search (NAS).
243 // The output of a multi-trial Neural Architecture Search (NAS) jobs.
254 // The output of this Neural Architecture Search (NAS) job.
[all …]
/external/googleapis/google/cloud/aiplatform/v1/
Dnas_job.proto36 // Represents a Neural Architecture Search (NAS) job.
129 // The spec of multi-trial Neural Architecture Search (NAS).
159 // Required. The maximum number of Neural Architecture Search (NAS) trials
198 // The Reinforcement Learning Algorithm for Multi-trial Neural
202 // The Grid Search Algorithm for Multi-trial Neural
207 // The multi-trial Neural Architecture Search (NAS) algorithm
225 // The Neural Architecture Search (NAS) algorithm specification.
237 // It defines the search space for Neural Architecture Search (NAS).
243 // The output of a multi-trial Neural Architecture Search (NAS) jobs.
254 // The output of this Neural Architecture Search (NAS) job.
[all …]
/external/googleapis/google/cloud/aiplatform/v1beta1/
Dnas_job.proto36 // Represents a Neural Architecture Search (NAS) job.
129 // The spec of multi-trial Neural Architecture Search (NAS).
159 // Required. The maximum number of Neural Architecture Search (NAS) trials
198 // The Reinforcement Learning Algorithm for Multi-trial Neural
202 // The Grid Search Algorithm for Multi-trial Neural
207 // The multi-trial Neural Architecture Search (NAS) algorithm
225 // The Neural Architecture Search (NAS) algorithm specification.
237 // It defines the search space for Neural Architecture Search (NAS).
243 // The output of a multi-trial Neural Architecture Search (NAS) jobs.
254 // The output of this Neural Architecture Search (NAS) job.
[all …]
/external/armnn/shim/sl/
DREADME.md1 # Arm NN Support Library Neural Networks driver
3 This directory contains the Arm NN Support Library for the Android Neural Networks API.
7 The support library inherits it's parameters from the Arm NN Android Neural Networks driver. Parame…
13 …Setting ARMNN_SL_OPTIONS will pass parameters to the Arm NN Support Library Neural Networks driver.
31 The Arm NN Support Library Neural Networks driver is provided under the [MIT](https://spdx.org/lice…
/external/libopus/dnn/
DREADME.md5 - J.-M. Valin, J. Skoglund, [LPCNet: Improving Neural Speech Synthesis Through Linear Prediction](h…
6 - J.-M. Valin, U. Isik, P. Smaragdis, A. Krishnaswamy, [Neural Speech Synthesis on a Shoestring: Im…
7 - K. Subramani, J.-M. Valin, U. Isik, P. Smaragdis, A. Krishnaswamy, [End-to-end LPCNet: A Neural V…
11 - J.-M. Valin, J. Skoglund, [A Real-Time Wideband Neural Vocoder at 1.6 kb/s Using LPCNet](https://…
12 - J. Skoglund, J.-M. Valin, [Improving Opus Low Bit Rate Quality with Neural Speech Synthesis](http…
14 …P*, arXiv:2212.04453, 2023. ([blog post](https://www.amazon.science/blog/neural-encoding-enables-m…
124 1. [LPCNet: DSP-Boosted Neural Speech Synthesis](https://people.xiph.org/~jm/demo/lpcnet/)
125 1. [A Real-Time Wideband Neural Vocoder at 1.6 kb/s Using LPCNet](https://people.xiph.org/~jm/demo/…
/external/tensorflow/tensorflow/core/platform/
Dcpu_info.h121 AVX512_4VNNIW = 36, // Integer neural network (Intel Xeon Phi only)
122 AVX512_4FMAPS = 37, // Floating point neural network (Intel Xeon Phi only)
123 AVX512_VNNI = 38, // Integer neural network
124 AVX512_BF16 = 39, // Bfloat16 neural network
127 AVX_VNNI = 40, // Integer neural network
131 // supporting two popular data types in neural networks, int8 and bfloat16.
/external/tensorflow/tensorflow/lite/nnapi/
DREADME.md1 # Android Neural Network API
3 The Android Neural Networks API (NNAPI) is an Android C API designed for running
9 processors, including dedicated neural network hardware, graphics processing
/external/gemmlowp/doc/
Dpublic.md111 Because gemmlowp is primarily aimed at neural network inference workloads,
118 The rationale is that the LHS is typically the constant weights of a neural
120 multiplication), while the RHS and result are neural network activations,
145 This is useful for some flavors of neural network inference with "per-channel
147 a neural network trained in float arithmetic was subsequently quantized. On the
148 other hand, retraining neural networks for quantized inference tends to remove
Dquantization.md24 principles and some domain-specific knowledge of neural networks, we can arrive
55 Here a domain-specific constrain from neural networks appears: for some neural
259 `[-10,10]` in most neural networks. For example, a neural network using Relu6
340 least in some convolutional neural network applications.
/external/libpalmrejection/ui/events/ozone/evdev/touch_filter/palm_model/
Donedevice_train_palm_detection_filter_model.h15 // A simplified Neural stylus Palm Detection Model, trained on the data based on
16 // a single device class but translatable to others. Neural inference
17 // implementation based on inline neural net inference.
/external/XNNPACK/
DREADME.md3 XNNPACK is a highly optimized library of floating-point neural network inference operators for ARM,…
17 XNNPACK implements the following neural network operators:
80 …NDK r21 (`bazel build -c opt --config android_arm64 :end2end_bench`) and neural network models wit…
95 …` on a Raspbian Buster build with CMake (`./scripts/build-local.sh`) and neural network models wit…
105 - Yury Pisarchyk, Juhyun Lee "Efficient Memory Management for Deep Neural Net Inference".
117 - [Samsung ONE (On-device Neural Engine)](https://github.com/Samsung/ONE)
/external/glide/third_party/gif_encoder/
DLICENSE13 NEUQUANT Neural-Net quantization algorithm by Anthony Dekker, 1994. See
14 "Kohonen neural networks for optimal colour quantization" in "Network:
15 Computation in Neural Systems" Vol. 5 (1994) pp 351-367. for a discussion of
/external/licenseclassifier/v2/assets/License/GIF-Encoder/
Dlicense.txt13 NEUQUANT Neural-Net quantization algorithm by Anthony Dekker, 1994.
14 See "Kohonen neural networks for optimal colour quantization"
15 in "Network: Computation in Neural Systems" Vol. 5 (1994) pp 351-367.
/external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/
DNasJobOutputOrBuilder.java30 * Output only. The output of this multi-trial Neural Architecture Search
45 * Output only. The output of this multi-trial Neural Architecture Search
60 * Output only. The output of this multi-trial Neural Architecture Search
/external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/
DNasJobOutputOrBuilder.java30 * Output only. The output of this multi-trial Neural Architecture Search
45 * Output only. The output of this multi-trial Neural Architecture Search
60 * Output only. The output of this multi-trial Neural Architecture Search
/external/tensorflow/tensorflow/lite/delegates/gpu/
DREADME.md8 workloads. Thus, they are well-suited for deep neural nets which consists of a
17 quantization of your neural network was not an option due to lower accuracy
18 caused by lost precision, such concern can be discarded when running deep neural
166 * [On-Device Neural Net Inference with Mobile GPUs](https://arxiv.org/abs/1907.01989)
/external/tensorflow/tensorflow/lite/swift/Sources/
DCoreMLDelegate.swift29 /// `neuralEngine` but the device does not have the Neural Engine.
53 /// Enables the delegate for devices with Neural Engine only.
73 /// value is `.neuralEngine` indicating that the delegate is enabled for Neural Engine devices
/external/tensorflow/tensorflow/lite/g3doc/performance/
Dcoreml_delegate.md17 and later (iPhone Xs and later) to use Neural Engine for faster inference.
58 // Core ML delegate will only be created for devices with Neural Engine
133 ### Using Core ML delegate on devices without Neural Engine
135 By default, Core ML delegate will only be created if the device has Neural
223 determine its Neural Engine availability. See the
/external/android-nn-driver/
DNnapiSupport.txt3 This release of ArmNN for Android supports use as a driver for the Android Neural Networks API. It …
8 For more information on the Android Neural Networks API, see https://developer.android.com/ndk/guid…
12 --- Support for Android Neural Networks HAL operations ---
DREADME.md1 # Arm NN Android Neural Networks driver
3 This directory contains the Arm NN driver for the Android Neural Networks API, implementing the and…
/external/tensorflow/tensorflow/stream_executor/
Ddnn.h16 // Neural Net operation support for StreamExecutor instances.
19 // neural net operations; it accommodates implementations such as the cudnn
/external/tensorflow/tensorflow/core/api_def/base_api/
Dapi_def_LRN.pbtxt45 convolutional neural networks (NIPS 2012)](http://papers.nips.cc/paper/4824-imagenet-classification…
/external/tensorflow/tensorflow/lite/g3doc/examples/recommendation/
Doverview.md58 * Convolutional neural network encoder (CNN): applying multiple layers of
59 convolutional neural networks to generate context encoding.
60 * Recurrent neural network encoder (RNN): applying recurrent neural network to
/external/armnn/docs/
D05_01_parsers.dox27 `armnnOnnxParser` is a library for loading neural networks defined in ONNX protobuf files into the …
98 Arm tested these operators with the following ONNX fp32 neural networks:
110 `armnnTfLiteParser` is a library for loading neural networks defined by TensorFlow Lite FlatBuffers…
196 Arm tested these operators with the following TensorFlow Lite neural network:

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