GitOrigin-RevId: 0f68966211
tags/v1.7.0
| @@ -306,11 +306,37 @@ public: | |||
| m_env.cpu_env().dispatch(do_copy); | |||
| } | |||
| void copy_to_host_ref( | |||
| megdnn::RefPtr& host_ref_ptr, megdnn::RefPtr& device_ref_ptr, | |||
| size_t size) override { | |||
| // use lambda capture to avoid memory allocation in std::bind | |||
| auto do_copy = [host_ref_ptr, device_ref_ptr, size]() { | |||
| std::memcpy(host_ref_ptr.get_ptr(), device_ref_ptr.get_ptr(), size); | |||
| }; | |||
| m_env.cpu_env().dispatch(do_copy); | |||
| } | |||
| void copy_to_device_ref( | |||
| megdnn::RefPtr& device_ref_ptr, megdnn::RefPtr& host_ref_ptr, | |||
| size_t size) override { | |||
| // use lambda capture to avoid memory allocation in std::bind | |||
| auto do_copy = [device_ref_ptr, host_ref_ptr, size]() { | |||
| std::memcpy(device_ref_ptr.get_ptr(), host_ref_ptr.get_ptr(), size); | |||
| }; | |||
| m_env.cpu_env().dispatch(do_copy); | |||
| } | |||
| void peer_copy_to( | |||
| Impl* dest_impl, void* dest, const void* src, size_t size) override { | |||
| dest_impl->copy_to_device(dest, src, size); | |||
| } | |||
| void peer_copy_to_ref( | |||
| Impl* dest_impl, megdnn::RefPtr& dest, megdnn::RefPtr& src, | |||
| size_t size) override { | |||
| dest_impl->copy_to_device_ref(dest, src, size); | |||
| } | |||
| size_t get_mem_addr_alignment() override { return m_env.property().mem_alignment; } | |||
| void dispatch(Task&& task) override { m_env.cpu_env().dispatch(std::move(task)); } | |||
| @@ -733,6 +759,24 @@ public: | |||
| CompNodeBaseImpl::copy_to_device(device_ptr, host_ptr, size); | |||
| } | |||
| void copy_to_host_ref( | |||
| megdnn::RefPtr& host_ref_ptr, megdnn::RefPtr& device_ref_ptr, | |||
| size_t size) override { | |||
| if (m_worker_queue) { | |||
| m_worker_queue->check_exception(); | |||
| } | |||
| CompNodeBaseImpl::copy_to_host_ref(host_ref_ptr, device_ref_ptr, size); | |||
| } | |||
| void copy_to_device_ref( | |||
| megdnn::RefPtr& device_ref_ptr, megdnn::RefPtr& host_ref_ptr, | |||
| size_t size) override { | |||
| if (m_worker_queue) { | |||
| m_worker_queue->check_exception(); | |||
| } | |||
| CompNodeBaseImpl::copy_to_device_ref(device_ref_ptr, host_ref_ptr, size); | |||
| } | |||
| void peer_copy_to( | |||
| Impl* dest_impl, void* dest, const void* src, size_t size) override { | |||
| //! copy to default_cpu | |||
| @@ -774,6 +818,48 @@ public: | |||
| dest_impl->copy_to_device(dest, src, size); | |||
| } | |||
| void peer_copy_to_ref( | |||
| Impl* dest_impl, megdnn::RefPtr& dest, megdnn::RefPtr& src, | |||
| size_t size) override { | |||
| //! copy to default_cpu | |||
| if (dest_impl->same_type<CpuCompNode::CompNodeDefaultImpl>()) { | |||
| CompNodeBaseImpl::peer_copy_to_ref(dest_impl, dest, src, size); | |||
| return; | |||
| } | |||
| if (!dest_impl->same_type<CpuCompNode::CompNodeRecorderImpl>()) { | |||
| if (dest_impl->env().property().type == DeviceType::ATLAS) { | |||
| #if MGB_ATLAS | |||
| dest_impl->copy_to_device(dest.get_ptr(), src.get_ptr(), size); | |||
| return; | |||
| #else | |||
| mgb_throw( | |||
| MegBrainError, | |||
| "Atlas comp_node used but " | |||
| "ATLAS BUILD not enabled"); | |||
| #endif | |||
| } else if (dest_impl->env().property().type == DeviceType::CAMBRICON) { | |||
| #if MGB_CAMBRICON | |||
| dest_impl->copy_to_device(dest.get_ptr(), src.get_ptr(), size); | |||
| return; | |||
| #else | |||
| mgb_throw( | |||
| MegBrainError, | |||
| "Cambricon comp_node used but " | |||
| "CAMBRICON BUILD not enabled"); | |||
| #endif | |||
| } | |||
| else { | |||
| mgb_assert( | |||
| locator().device == Locator::DEVICE_CPU_DEFAULT, | |||
| "currently only peer copy from default cpu comp " | |||
| "nodes " | |||
| "is implemented"); | |||
| } | |||
| } | |||
| dest_impl->copy_to_device_ref(dest, src, size); | |||
| } | |||
| std::unique_ptr<Event> create_event(size_t flags) override { | |||
| if (m_worker_queue) { | |||
| m_worker_queue->check_exception(); | |||
| @@ -81,9 +81,8 @@ const DeviceTensorStorage& StaticDeviceMemoryManager::alloc( | |||
| void StaticDeviceMemoryManager::prefault() { | |||
| for (auto&& i : m_storage) { | |||
| if (i.first.device_type() == CompNode::DeviceType::CPU) { | |||
| auto set = [ptr = i.second.ptr(), size = i.second.size()]() { | |||
| memset(ptr, 0, size); | |||
| }; | |||
| auto storage = i.second; | |||
| auto set = [storage]() { memset(storage.ptr(), 0, storage.size()); }; | |||
| CompNodeEnv::from_comp_node(i.first).cpu_env().dispatch(set); | |||
| i.first.sync(); | |||
| } | |||
| @@ -379,7 +379,9 @@ MGE_WIN_DECLSPEC_FUC void TensorStorage<HostTensorStorageTrait>::copy_from( | |||
| need_sync = true; | |||
| } | |||
| } | |||
| src.comp_node().copy_to_host(ptr(), src.ptr(), size); | |||
| megdnn::RefPtr src_ptr(src.get_ref_ptr(), src.offset(), false); | |||
| megdnn::RefPtr dst_ptr(get_ref_ptr(), offset(), false); | |||
| src.comp_node().copy_to_host_ref(dst_ptr, src_ptr, size); | |||
| if (need_sync) | |||
| src.comp_node().sync(); | |||
| } | |||
| @@ -390,7 +392,9 @@ template <> | |||
| MGE_WIN_DECLSPEC_FUC void TensorStorage<DeviceTensorStorageTrait>::copy_from( | |||
| const TensorStorage<HostTensorStorageTrait>& src, size_t size) const { | |||
| mgb_assert(size <= this->size() && size <= src.size()); | |||
| m_comp_node.copy_to_device(ptr(), src.ptr(), size); | |||
| megdnn::RefPtr src_ptr(src.get_ref_ptr(), src.offset(), false); | |||
| megdnn::RefPtr dst_ptr(get_ref_ptr(), offset(), false); | |||
| m_comp_node.copy_to_device_ref(dst_ptr, src_ptr, size); | |||
| } | |||
| // device to device | |||
| @@ -417,9 +421,13 @@ MGE_WIN_DECLSPEC_FUC void TensorStorage<DeviceTensorStorageTrait>::copy_from( | |||
| // to pin the memory of src tensor, so it does not require synchronization | |||
| // and is more efficient | |||
| src.comp_node().sync(); | |||
| comp_node().copy_to_device(ptr(), src.ptr(), size); | |||
| megdnn::RefPtr src_ptr(src.get_ref_ptr(), src.offset(), false); | |||
| megdnn::RefPtr dst_ptr(get_ref_ptr(), offset(), false); | |||
| comp_node().copy_to_device_ref(dst_ptr, src_ptr, size); | |||
| } else { | |||
| src.comp_node().peer_copy_to(m_comp_node, ptr(), src.ptr(), size); | |||
| megdnn::RefPtr src_ptr(src.get_ref_ptr(), src.offset(), false); | |||
| megdnn::RefPtr dst_ptr(get_ref_ptr(), offset(), false); | |||
| src.comp_node().peer_copy_to_ref(m_comp_node, dst_ptr, src_ptr, size); | |||
| } | |||
| } | |||
| @@ -712,32 +720,34 @@ const typename TensorND<TensorStorage>::ChainReturnType& TensorND< | |||
| void mgb::dev_tensor_memset(const DeviceTensorND& tensor, int val) { | |||
| auto&& env = CompNodeEnv::from_comp_node(tensor.comp_node()); | |||
| env.activate(); | |||
| void* ptr = tensor.raw_ptr(); | |||
| size_t size = tensor.layout().span().dist_byte(); | |||
| switch (env.property().type) { | |||
| #if MGB_CUDA | |||
| case CompNode::DeviceType::CUDA: | |||
| MGB_CUDA_CHECK(cudaMemsetAsync(ptr, val, size, env.cuda_env().stream)); | |||
| MGB_CUDA_CHECK(cudaMemsetAsync( | |||
| tensor.raw_ptr(), val, size, env.cuda_env().stream)); | |||
| break; | |||
| #endif | |||
| #if MGB_ATLAS | |||
| case CompNode::DeviceType::ATLAS: | |||
| #if MGB_USE_ATLAS_ASYNC_API | |||
| MGB_ATLAS_CHECK( | |||
| aclrtMemsetAsync(ptr, -1, val, size, env.atlas_env().stream)); | |||
| MGB_ATLAS_CHECK(aclrtMemsetAsync( | |||
| tensor.raw_ptr(), -1, val, size, env.atlas_env().stream)); | |||
| #else | |||
| MGB_ATLAS_CHECK(aclrtMemset(ptr, -1, val, size)); | |||
| MGB_ATLAS_CHECK(aclrtMemset(tensor.raw_ptr(), -1, val, size)); | |||
| #endif | |||
| break; | |||
| #endif | |||
| #if MGB_CAMBRICON | |||
| case CompNode::DeviceType::CAMBRICON: | |||
| MGB_CNRT_CHECK(cnrtSyncQueue(env.cnrt_env().queue)); | |||
| MGB_CNRT_CHECK(cnrtMemset(ptr, val, size)); | |||
| MGB_CNRT_CHECK(cnrtMemset(tensor.raw_ptr(), val, size)); | |||
| break; | |||
| #endif | |||
| case CompNode::DeviceType::CPU: { | |||
| auto fill = [ptr, size, val]() { std::memset(ptr, val, size); }; | |||
| auto fill = [tensor, size, val]() { | |||
| std::memset(tensor.as_megdnn().raw_ptr(), val, size); | |||
| }; | |||
| env.cpu_env().dispatch(fill); | |||
| } break; | |||
| default: | |||
| @@ -242,6 +242,20 @@ public: | |||
| return m_impl->copy_to_device(device_ptr, host_ptr, size); | |||
| } | |||
| //! copy from underlying device to host | |||
| void copy_to_host_ref( | |||
| megdnn::RefPtr& host_ref_ptr, megdnn::RefPtr& device_ref_ptr, | |||
| size_t size) const { | |||
| return m_impl->copy_to_host_ref(host_ref_ptr, device_ref_ptr, size); | |||
| } | |||
| //! copy from host to underlying device | |||
| void copy_to_device_ref( | |||
| megdnn::RefPtr& device_ref_ptr, megdnn::RefPtr& host_ref_ptr, | |||
| size_t size) const { | |||
| return m_impl->copy_to_device_ref(device_ref_ptr, host_ref_ptr, size); | |||
| } | |||
| /*! | |||
| * \brief copy from this device to another device; would use the | |||
| * computing resource on dest_node | |||
| @@ -253,6 +267,14 @@ public: | |||
| reinterpret_cast<Impl*>(dest_node.m_impl), dest, src, size); | |||
| } | |||
| void peer_copy_to_ref( | |||
| CompNode dest_node, megdnn::RefPtr& dst_ref_ptr, | |||
| megdnn::RefPtr& src_ref_ptr, size_t size) const { | |||
| return m_impl->peer_copy_to_ref( | |||
| reinterpret_cast<Impl*>(dest_node.m_impl), dst_ref_ptr, src_ref_ptr, | |||
| size); | |||
| } | |||
| //! get alignment requiement in bytes; guaranteed to be power of 2 | |||
| size_t get_mem_addr_alignment() const { return m_impl->get_mem_addr_alignment(); } | |||
| @@ -517,9 +539,25 @@ protected: | |||
| void* host_ptr, const void* device_ptr, size_t size) = 0; | |||
| virtual void copy_to_device( | |||
| void* device_ptr, const void* host_ptr, size_t size) = 0; | |||
| virtual void copy_to_host_ref( | |||
| megdnn::RefPtr& host_ref_ptr, megdnn::RefPtr& device_ref_ptr, | |||
| size_t size) { | |||
| copy_to_host(host_ref_ptr.get_ptr(), device_ref_ptr.get_ptr(), size); | |||
| } | |||
| virtual void copy_to_device_ref( | |||
| megdnn::RefPtr& device_ref_ptr, megdnn::RefPtr& host_ref_ptr, | |||
| size_t size) { | |||
| copy_to_device(device_ref_ptr.get_ptr(), host_ref_ptr.get_ptr(), size); | |||
| } | |||
| virtual void peer_copy_to( | |||
| Impl* dest_impl, void* dest, const void* src, size_t size) = 0; | |||
| virtual void peer_copy_to_ref( | |||
| Impl* dest_impl, megdnn::RefPtr& dest, megdnn::RefPtr& src, | |||
| size_t size) { | |||
| peer_copy_to(dest_impl, dest.get_ptr(), src.get_ptr(), size); | |||
| } | |||
| virtual size_t get_mem_addr_alignment() = 0; | |||
| virtual size_t get_mem_padding(); | |||
| @@ -100,6 +100,10 @@ SymbolVar Network::add_type_cvt(SymbolVar f, DType out_dtype) { | |||
| return opr::TypeCvt::make(f, out_dtype); | |||
| } | |||
| SymbolVar Network::add_concat(SymbolVar f, SymbolVar g, int axis) { | |||
| return opr::Concat::make({f, g}, axis); | |||
| } | |||
| SymbolVar mgb::create_block( | |||
| Network& network, SymbolVar f_in, size_t stride, size_t num_outputs1, | |||
| bool has_proj, DType out_dtype) { | |||
| @@ -60,6 +60,7 @@ public: | |||
| Padding padding = {0, 0}, | |||
| opr::Pooling::Param::Mode mode = opr::Pooling::Param::Mode::MAX); | |||
| SymbolVar add_type_cvt(SymbolVar f, DType out_dtype = dtype::Float32()); | |||
| SymbolVar add_concat(SymbolVar f, SymbolVar g, int axis = 0); | |||
| }; | |||
| SymbolVar create_block( | |||
| @@ -41,7 +41,8 @@ struct TestGraph { | |||
| f = m_network->add_elemwise( | |||
| {f}, dtype::Float32(), opr::Elemwise::Param::Mode::EXP); | |||
| f = m_network->add_conv(f, 8, {3, 3}, dtype::Float32(), true, {1, 1}, {1, 1}); | |||
| m_out_var = m_network->add_pooling(f, {2, 2}, {2, 2}); | |||
| f = m_network->add_pooling(f, {2, 2}, {2, 2}); | |||
| m_out_var = m_network->add_concat(f, -f); | |||
| } | |||
| void create_graph_with_subtensor_forward() { | |||
| @@ -63,7 +64,8 @@ struct TestGraph { | |||
| f = m_network->add_elemwise( | |||
| {f}, dtype::Float32(), opr::Elemwise::Param::Mode::EXP); | |||
| f = m_network->add_conv(f, 8, {3, 3}, dtype::Float32(), true, {1, 1}, {1, 1}); | |||
| m_out_var = m_network->add_pooling(f, {2, 2}, {2, 2}); | |||
| f = m_network->add_pooling(f, {2, 2}, {2, 2}); | |||
| m_out_var = m_network->add_concat(f, -f); | |||
| } | |||
| void create_graph_with_subtensor_relayout() { | |||
| @@ -86,7 +88,8 @@ struct TestGraph { | |||
| f = m_network->add_elemwise( | |||
| {f}, dtype::Float32(), opr::Elemwise::Param::Mode::EXP); | |||
| f = m_network->add_conv(f, 8, {3, 3}, dtype::Float32(), true, {1, 1}, {1, 1}); | |||
| m_out_var = m_network->add_pooling(f, {2, 2}, {2, 2}); | |||
| f = m_network->add_pooling(f, {2, 2}, {2, 2}); | |||
| m_out_var = m_network->add_concat(f, -f); | |||
| } | |||
| void create_graph_with_setsubtensor() { | |||
| @@ -113,7 +116,8 @@ struct TestGraph { | |||
| f = m_network->add_elemwise( | |||
| {f}, dtype::Float32(), opr::Elemwise::Param::Mode::EXP); | |||
| f = m_network->add_conv(f, 8, {3, 3}, dtype::Float32(), true, {1, 1}, {1, 1}); | |||
| m_out_var = m_network->add_pooling(f, {2, 2}, {2, 2}); | |||
| f = m_network->add_pooling(f, {2, 2}, {2, 2}); | |||
| m_out_var = m_network->add_concat(f, -f); | |||
| } | |||
| std::unique_ptr<cg::AsyncExecutable> compile_without_copy() { | |||
| @@ -173,8 +177,8 @@ TEST(TestNoCopy, IONoCopyPtrEQ) { | |||
| test_graph.create_graph(); | |||
| auto func = test_graph.compile_without_copy(); | |||
| auto&& outvar = func->get_output_vars()[0]; | |||
| DeviceTensorND dv0(test_graph.m_cn, {1, 8, 7, 7}); | |||
| DeviceTensorND dv1(test_graph.m_cn, {1, 8, 7, 7}); | |||
| DeviceTensorND dv0(test_graph.m_cn, {2, 8, 7, 7}); | |||
| DeviceTensorND dv1(test_graph.m_cn, {2, 8, 7, 7}); | |||
| size_t times = 10; | |||
| for (size_t i = 0; i < times; i++) { | |||
| auto input_tensor = test_graph.input_tensor; | |||
| @@ -229,7 +233,7 @@ TEST(TestNoCopy, IONoCopyCorrect) { | |||
| ptr[d] = i / 5 + 3; | |||
| } | |||
| input_tensor->reset(storage, layout); | |||
| DeviceTensorND dv(test_graph.m_cn, {1, 8, 7, 7}); | |||
| DeviceTensorND dv(test_graph.m_cn, {2, 8, 7, 7}); | |||
| outvar->init_mem_plan(&dv); | |||
| outvar->reset_dev_tensor_from_tensor(dv); | |||
| @@ -258,7 +262,7 @@ TEST(TestNoCopy, IONoCopyRecord) { | |||
| HostTensorND truth; | |||
| auto func = test_graph.compile_without_copy(); | |||
| auto&& outvar = func->get_output_vars()[0]; | |||
| DeviceTensorND tmp(test_graph.m_cn, {1, 8, 7, 7}); | |||
| DeviceTensorND tmp(test_graph.m_cn, {2, 8, 7, 7}); | |||
| outvar->init_mem_plan(&tmp); | |||
| size_t times = 10; | |||
| for (size_t i = 0; i < times; i++) { | |||
| @@ -272,7 +276,7 @@ TEST(TestNoCopy, IONoCopyRecord) { | |||
| ptr[d] = i / 5 + 3; | |||
| } | |||
| input_tensor->only_reset_raw_storage(storage); | |||
| DeviceTensorND dv(test_graph.m_cn, {1, 8, 7, 7}); | |||
| DeviceTensorND dv(test_graph.m_cn, {2, 8, 7, 7}); | |||
| dv.raw_ptr(); | |||
| auto& dev_tensor = outvar->mutable_dev_tensor(); | |||
| @@ -306,7 +310,7 @@ void test_subtensor_record(int level) { | |||
| HostTensorND truth; | |||
| auto func = test_graph.compile_without_copy(); | |||
| auto&& outvar = func->get_output_vars()[0]; | |||
| DeviceTensorND tmp(test_graph.m_cn, {1, 8, 7, 7}); | |||
| DeviceTensorND tmp(test_graph.m_cn, {2, 8, 7, 7}); | |||
| outvar->init_mem_plan(&tmp); | |||
| size_t times = 10; | |||
| for (size_t i = 0; i < times; i++) { | |||
| @@ -320,7 +324,7 @@ void test_subtensor_record(int level) { | |||
| ptr[d] = i / 5 + 3; | |||
| } | |||
| input_tensor->only_reset_raw_storage(storage); | |||
| DeviceTensorND dv(test_graph.m_cn, {1, 8, 7, 7}); | |||
| DeviceTensorND dv(test_graph.m_cn, {2, 8, 7, 7}); | |||
| dv.raw_ptr(); | |||
| auto& dev_tensor = outvar->mutable_dev_tensor(); | |||
| @@ -139,11 +139,9 @@ void NMSKeep::CPUKern::exec( | |||
| // See CUDAKern::exec for more explanation on output comp nodes. | |||
| CompNode comp_node = out_idx.comp_node(); | |||
| auto inp_ptr = inp.ptr<float>(); | |||
| auto out_idx_ptr = reinterpret_cast<uint32_t*>(out_idx.ptr<int32_t>()), | |||
| out_size_ptr = reinterpret_cast<uint32_t*>(out_size.ptr<int32_t>()); | |||
| size_t batch = inp.shape(0), nr_boxes = inp.shape(1); | |||
| if (nr_boxes == 0) { | |||
| auto out_size_ptr = reinterpret_cast<uint32_t*>(out_size.ptr<int32_t>()); | |||
| for (size_t i = 0; i < batch; ++i) { | |||
| *(out_size_ptr + i) = 0; | |||
| } | |||
| @@ -157,6 +155,11 @@ void NMSKeep::CPUKern::exec( | |||
| // be dispatched on a different thread | |||
| auto kern = [=]() { | |||
| for (size_t i = 0; i < batch; ++i) { | |||
| auto inp_ptr = inp.as_megdnn().ptr<float>(); | |||
| auto out_idx_ptr = | |||
| reinterpret_cast<uint32_t*>(out_idx.as_megdnn().ptr<int32_t>()); | |||
| auto out_size_ptr = | |||
| reinterpret_cast<uint32_t*>(out_size.as_megdnn().ptr<int32_t>()); | |||
| nms::cpu_kern( | |||
| nr_boxes, param.max_output, param.iou_thresh, | |||
| inp_ptr + i * nr_boxes * 4, out_idx_ptr + i * param.max_output, | |||