pytorch
1.8.2
About: PyTorch provides Tensor computation (like NumPy) with strong GPU acceleration and Deep Neural Networks (in Python) built on a tape-based autograd system. LTS (Long Term Support) release.
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#include <ios_caffe_predictor.h>
Public Attributes | |
std::vector< int64_t > | dims |
uint8_t * | data |
Definition at line 9 of file ios_caffe_predictor.h.
uint8_t* Tensor::data |
Definition at line 11 of file ios_caffe_predictor.h.
Referenced by torch.nn.parameter.Parameter::__deepcopy__(), torch.nn.parameter.Parameter::__reduce_ex__(), torch.utils.hipify.hipify_python.Trie::add(), caffe2.python.layers.constant_weight.ConstantWeight::add_ops(), torch::jit::tensorexpr::SimpleIREvaluator::bindArg(), caffe2.python.layers.adaptive_weight.AdaptiveWeight::concat_data(), torch::nn::utils::rnn::PackedSequence::cpu(), torch::nn::utils::rnn::PackedSequence::cuda(), torch.utils.hipify.hipify_python.Trie::dump(), operator_benchmark.c2.batch_box_cox_test.BatchBoxCoxBenchmark::forward(), operator_benchmark.c2.quantile_op_test.QuantileOpBenchmark::forward(), conv.ConvImplBench::forward(), normalization.BatchNormBench::forward(), normalization.InstanceNormBench::forward(), normalization.LayerNormBench::forward(), pooling.PoolingBench::forward(), softmax.SoftmaxBench::forward(), common.CommitDataCache::get(), torch::nn::utils::rnn::PackedSequence::is_cuda(), torch::nn::utils::rnn::PackedSequence::is_pinned(), torch.nn.parameter.UninitializedParameter::materialize(), torch::nn::utils::rnn::PackedSequence::pin_memory(), softmax.SoftmaxBench::reference(), swish.SwishBench::reference(), Caffe2IOSPredictor::run(), at::strided_tensor_iter_fixed< T, N >::strided_tensor_iter_fixed(), caffe2.python.db_test.TestDB::testSimple(), THCStorage_resizeBytes(), THTensor_getSizePtr(), THTensor_getStridePtr(), torch::nn::utils::rnn::PackedSequence::to(), common.CommitDataCache::write_to_disk(), and torch::jit::ScriptModuleSerializer::writeArchive().
std::vector<int64_t> Tensor::dims |
Definition at line 10 of file ios_caffe_predictor.h.
Referenced by reduction.ReduceBench::forward(), and Caffe2IOSPredictor::run().