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opt parameter->cast->transdata to parameter->cast

This commit is contained in:
LianLiguang 2021-03-29 19:08:13 +08:00
parent bda7fc5153
commit 282d477740
1 changed files with 10 additions and 8 deletions
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18
mindspore/ccsrc/runtime/device/ascend/kernel_select_ascend.cc
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@ -354,13 +354,15 @@ void SetCastAndWeightFormat(const CNodePtr &kernel_node) {
}
void SetWeightFormat(const AnfNodePtr &real_input_node, const std::vector<string> &output_format,
const CNodePtr &kernel_node, size_t input_index) {
const CNodePtr &kernel_node, size_t input_index, bool force_fresh = false) {
if (real_input_node->isa<CNode>() || AnfAlgo::OutputAddrExist(real_input_node, 0)) {
return;
}
auto builder = std::make_shared<kernel::KernelBuildInfo::KernelBuildInfoBuilder>();
// we set special device info of a input tensor.
bool is_ref = false;
auto op_info = kernel::tbe::TbeDynamicShapeUtil::FindOp(AnfAlgo::GetCNodeName(kernel_node), kernel_node);
if (op_info != nullptr) {
is_ref = op_info->is_ref();
force_fresh = op_info->is_ref() || force_fresh;
}
auto selected_kernel_info = AnfAlgo::GetSelectKernelBuildInfo(kernel_node);
if (IsValueNode<tensor::Tensor>(real_input_node) &&
@ -371,7 +373,7 @@ void SetWeightFormat(const AnfNodePtr &real_input_node, const std::vector<string
AnfAlgo::SetSelectKernelBuildInfo(builder->Build(), real_input_node.get());
return;
}
if (AnfAlgo::GetOutputDeviceDataType(real_input_node, 0) == kTypeUnknown || is_ref) {
if (AnfAlgo::GetOutputDeviceDataType(real_input_node, 0) == kTypeUnknown || force_fresh) {
builder->SetOutputsFormat(output_format);
std::vector<TypeId> output_type = {AnfAlgo::GetOutputInferDataType(real_input_node, 0)};
builder->SetOutputsDeviceType(output_type);
@ -381,6 +383,9 @@ void SetWeightFormat(const AnfNodePtr &real_input_node, const std::vector<string
bool RefreshCastAndParamWeightFormat(const AnfNodePtr &input_node, const string &format) {
MS_EXCEPTION_IF_NULL(input_node);
if (MsContext::GetInstance()->get_param<int>(MS_CTX_EXECUTION_MODE) == kPynativeMode) {
return false;
}
if (!input_node->isa<CNode>()) {
return false;
}
@ -397,7 +402,7 @@ bool RefreshCastAndParamWeightFormat(const AnfNodePtr &input_node, const string
info_builder->SetOutputsFormat({format});
AnfAlgo::SetSelectKernelBuildInfo(info_builder->Build(), cast_node.get());
auto cast_input_node = AnfAlgo::VisitKernel(AnfAlgo::GetInputNode(cast_node, 0), 0);
SetWeightFormat(cast_input_node.first, {format}, cast_node, 0);
SetWeightFormat(cast_input_node.first, {format}, cast_node, 0, true);
return true;
}
} // namespace
@ -418,9 +423,6 @@ void SetTensorDeviceInfo(const CNodePtr &kernel_node) {
if (real_input_node->isa<Parameter>() && !AnfAlgo::IsParameterWeight(real_input_node->cast<ParameterPtr>())) {
continue;
}
if (AnfAlgo::OutputAddrExist(real_input_node, 0)) {
continue;
}
auto refresh_format = selected_kernel_info->GetInputFormat(input_index);
std::vector<std::string> output_format = {refresh_format};
// if not find in host convert format map means the host has not registered the convert function of this format