caffe2 sgd
There are multiple ways to utilize multiple GPUs or machines to train models. Synchronous SGD, using Caffe2's data parallel model, is the simplest and easiest ... ,2019年3月21日 — 19 Computes a momentum SGD update for an input gradient and momentum. 20 parameters. Concretely, given inputs (grad, m, lr) and ... ,2019年3月21日 — caffe2 · sgd. momentum_sgd_op.h. 1 #pragma once. 2. 3 #include "caffe2/core/operator.h". 4. 5 namespace caffe2 . 6. 7 template <typename ... ,2019年3月21日 — 1 #include "caffe2/sgd/learning_rate_op.h". 2. 3 namespace caffe2 . 4 REGISTER_CPU_OPERATOR(LearningRate, LearningRateOp<float, ... ,2019年3月21日 — 5 class SGD(Optimizer):. 6 r"""Implements stochastic gradient descent (optionally with momentum). 7. ,2019年3月21日 — 1 #include "caffe2/sgd/learning_rate_adaption_op.h". 2. 3 namespace caffe2 . 4. 5 REGISTER_CPU_OPERATOR(. 6 LearningRateAdaption,. ,Member Function Documentation. def torch.optim.sgd.SGD.step, (, self,. closure = None. ) Performs a single optimization step. Arguments: closure (callable, ... ,2019年3月21日 — 1 #include "caffe2/sgd/lars_op.h". 2. 3 namespace caffe2 . 4. 5 template <>. 6 void LarsOp<float, CPUContext>::ComputeLearningRate(. ,The iter counter as an int64_t TensorCPU. Code#. caffe2/sgd/iter_op.cc. AveragePool#. AveragePool consumes an input blob X and applies average pooling ... ,2019年3月21日 — caffe2 · sgd. adam_op.cc. 1 #include "adam_op.h". 2. 3 namespace caffe2 . 4. 5 REGISTER_CPU_OPERATOR(Adam, AdamOp<float, ...
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 caffe2 sgd 相關參考資料
Synchronous SGD | Caffe2
There are multiple ways to utilize multiple GPUs or machines to train models. Synchronous SGD, using Caffe2's data parallel model, is the simplest and easiest ... https://caffe2.ai C++ API: caffe2sgdmomentum_sgd_op.cc Source File - Caffe2
2019年3月21日 — 19 Computes a momentum SGD update for an input gradient and momentum. 20 parameters. Concretely, given inputs (grad, m, lr) and ... https://caffe2.ai C++ API: caffe2sgdmomentum_sgd_op.h Source File - Caffe2
2019年3月21日 — caffe2 · sgd. momentum_sgd_op.h. 1 #pragma once. 2. 3 #include "caffe2/core/operator.h". 4. 5 namespace caffe2 . 6. 7 template <typename ... https://caffe2.ai C++ API: caffe2sgdlearning_rate_op.cc Source File - Caffe2
2019年3月21日 — 1 #include "caffe2/sgd/learning_rate_op.h". 2. 3 namespace caffe2 . 4 REGISTER_CPU_OPERATOR(LearningRate, LearningRateOp<float, ... https://caffe2.ai Python API: torchoptimsgd.py Source File - Caffe2
2019年3月21日 — 5 class SGD(Optimizer):. 6 r"""Implements stochastic gradient descent (optionally with momentum). 7. https://caffe2.ai Caffe2 - C++ API: caffe2sgdlearning_rate_adaption_op.cc ...
2019年3月21日 — 1 #include "caffe2/sgd/learning_rate_adaption_op.h". 2. 3 namespace caffe2 . 4. 5 REGISTER_CPU_OPERATOR(. 6 LearningRateAdaption,. https://caffe2.ai Python API: torch.optim.sgd.SGD Class Reference - Caffe2
Member Function Documentation. def torch.optim.sgd.SGD.step, (, self,. closure = None. ) Performs a single optimization step. Arguments: closure (callable, ... https://caffe2.ai C++ API: caffe2sgdlars_op.cc Source File - Caffe2
2019年3月21日 — 1 #include "caffe2/sgd/lars_op.h". 2. 3 namespace caffe2 . 4. 5 template <>. 6 void LarsOp<float, CPUContext>::ComputeLearningRate(. https://caffe2.ai Operators Catalog | Caffe2
The iter counter as an int64_t TensorCPU. Code#. caffe2/sgd/iter_op.cc. AveragePool#. AveragePool consumes an input blob X and applies average pooling ... https://caffe2.ai C++ API: caffe2sgdadam_op.cc Source File - Caffe2
2019年3月21日 — caffe2 · sgd. adam_op.cc. 1 #include "adam_op.h". 2. 3 namespace caffe2 . 4. 5 REGISTER_CPU_OPERATOR(Adam, AdamOp<float, ... https://caffe2.ai |