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mindspore/mindspore/ccsrc/session/ascend_inference_session.cc

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3.6 KiB

/**
* Copyright 2019-2020 Huawei Technologies Co., Ltd
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "session/ascend_inference_session.h"
#include "operator/ops.h"
#include "ir/tensor.h"
#include "ir/anf.h"
#include "ir/param_value.h"
#include "device/kernel_runtime.h"
#include "session/anf_runtime_algorithm.h"
#include "common/utils.h"
#include "common/trans.h"
#include "kernel/tbe/tbe_python_funcs.h"
#include "utils/config_manager.h"
#include "utils/base_ref_extends.h"
namespace mindspore {
namespace session {
void AscendInferenceSession::LoadInputData(const std::shared_ptr<KernelGraph> &kernel_graph,
const std::vector<tensor::TensorPtr> &inputs_const) const {
MS_EXCEPTION_IF_NULL(kernel_graph);
std::vector<tensor::TensorPtr> inputs(inputs_const);
auto input_nodes = kernel_graph->inputs();
size_t no_weight_input = 0;
for (size_t i = 0; i < input_nodes.size(); ++i) {
tensor::TensorPtr tensor = nullptr;
if (!input_nodes[i]->isa<Parameter>()) {
MS_LOG(ERROR) << "Kernel graph inputs have anfnode which is not Parameter";
continue;
}
auto pk_node = input_nodes[i]->cast<ParameterPtr>();
MS_EXCEPTION_IF_NULL(pk_node);
auto device_address = AnfAlgo::GetMutableOutputAddr(pk_node, 0);
MS_EXCEPTION_IF_NULL(device_address);
if (!AnfAlgo::IsParameterWeight(pk_node)) {
tensor = inputs[no_weight_input++];
if (!device_address->SyncHostToDevice(trans::GetRuntimePaddingShape(pk_node, 0),
LongToSize(tensor->data().nbytes()), tensor->data_type(),
tensor->data_c())) {
MS_LOG(EXCEPTION) << "SyncHostToDevice failed.";
}
}
}
}
GraphId AscendInferenceSession::CompileGraph(NotNull<FuncGraphPtr> func_graph) {
auto graph_id = AscendSession::CompileGraph(func_graph);
auto kernel_graph = GetGraph(graph_id);
MS_EXCEPTION_IF_NULL(kernel_graph);
// load weight data to device
auto input_nodes = kernel_graph->inputs();
for (size_t i = 0; i < input_nodes.size(); ++i) {
if (!input_nodes[i]->isa<Parameter>()) {
MS_LOG(ERROR) << "Kernel graph inputs have anfnode which is not Parameter";
continue;
}
auto pk_node = input_nodes[i]->cast<ParameterPtr>();
MS_EXCEPTION_IF_NULL(pk_node);
auto device_address = AnfAlgo::GetMutableOutputAddr(pk_node, 0);
MS_EXCEPTION_IF_NULL(device_address);
if (AnfAlgo::IsParameterWeight(pk_node)) {
const auto &param_value = pk_node->default_param();
MS_EXCEPTION_IF_NULL(param_value);
auto tensor = std::dynamic_pointer_cast<tensor::Tensor>(param_value->value());
MS_EXCEPTION_IF_NULL(tensor);
if (!device_address->SyncHostToDevice(trans::GetRuntimePaddingShape(pk_node, 0),
LongToSize(tensor->data().nbytes()), tensor->data_type(),
tensor->data_c())) {
MS_LOG(EXCEPTION) << "SyncHostToDevice failed.";
}
}
}
return graph_id;
}
} // namespace session
} // namespace mindspore