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Megvii Engine Team 7c9569e4e5 fix(mge/random): fix random seed 4 years ago
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interpreter feat(dtr): add sqrt sampling 4 years ago
ops fix(mge/random): fix random seed 4 years ago
profiler fix(interpreter): remove notice flag of produce_tensor 4 years ago
proxy_graph refactor(ops): remove BackwardGraph op 4 years ago
async_releaser.h fix(param_pack): impl param pack concat in imperative_rt 4 years ago
backward_graph_opt.cpp refactor(ops): remove BackwardGraph op 4 years ago
blob_manager_impl.cpp feat(dtr): remove eviction threshold 4 years ago
blob_manager_impl.h feat(dtr): remove eviction threshold 4 years ago
dnn_op_helper.h chore(mge): update copyright years 5 years ago
event_pool.cpp fix(tensor): del valid tensors when compnode finalizing 4 years ago
event_pool.h chore(mge): correct license headers 5 years ago
function_hook.h refactor(profiler): integrate profiler into interpreter 5 years ago
mgb_cg_impl.h ci(mge): fix Windows CI 5 years ago
op_def.cpp refactor(opdef): split apply_on_physical_tensor into infer_output_mem_desc and execute 4 years ago
op_trait.cpp refactor(opdef): split apply_on_physical_tensor into infer_output_mem_desc and execute 4 years ago
op_trait.h refactor(opdef): split apply_on_physical_tensor into infer_output_mem_desc and execute 4 years ago
opr_utility.cpp feat(imperative/jit): let trace support empty IO 4 years ago
physical_tensor.cpp refactor(opdef): split apply_on_physical_tensor into infer_output_mem_desc and execute 4 years ago
profiler.cpp feat(profiler): add memory flow format for profiler 4 years ago
profiler_plugin.cpp feat(profiler): imperative profiler support tracing 4 years ago
proxy_graph.cpp refactor(opdef): split apply_on_physical_tensor into infer_output_mem_desc and execute 4 years ago
proxy_graph.h refactor(opdef): split apply_on_physical_tensor into infer_output_mem_desc and execute 4 years ago
proxy_graph_detail.cpp refactor(opdef): split apply_on_physical_tensor into infer_output_mem_desc and execute 4 years ago
tensor_sanity_check.cpp chore(mge): correct license headers 5 years ago

MegEngine 安装包中集成了使用 GPU 运行代码所需的 CUDA 环境,不用区分 CPU 和 GPU 版。 如果想要运行 GPU 程序,请确保机器本身配有 GPU 硬件设备并安装好驱动。 如果你想体验在云端 GPU 算力平台进行深度学习开发的感觉,欢迎访问 MegStudio 平台

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