fix MaxPool3DGradGrad bug
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66b258841e
commit
432ae32409
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@ -240,7 +240,9 @@
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"axes": "axis"
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},
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"MaxPool3DGradGradD": {
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"ksize": "kernel_size"
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"ksize": "kernel_size",
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"pads": "pad_list",
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"data_format": "format"
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}
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},
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"AttrDefaultValue": {
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@ -54,8 +54,8 @@ class BACKEND_EXPORT DataQueue {
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virtual DataQueueStatus Front(std::vector<DataQueueItem> *data) const = 0;
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virtual DataQueueStatus Pop() = 0;
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virtual void SetThreadDevice() {}
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virtual size_t Size() { return size_; }
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virtual size_t Capacity() { return capacity_; }
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virtual size_t Size() const { return size_; }
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virtual size_t Capacity() const { return capacity_; }
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protected:
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const std::string channel_name_;
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@ -429,6 +429,7 @@ constexpr auto kMaximumGradGradOpName = "MaximumGradGrad";
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constexpr auto kMaximumGradOpName = "MaximumGrad";
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constexpr auto kMaximumOpName = "Maximum";
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constexpr auto kMaxPool3DGradGradOpName = "MaxPool3DGradGrad";
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constexpr auto kMaxPool3DGradGradDOpName = "MaxPool3DGradGradD";
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constexpr auto kMaxPool3DGradOpName = "MaxPool3DGrad";
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constexpr auto kMaxPool3DOpName = "MaxPool3D";
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constexpr auto kMaxPoolGradOpName = "MaxPoolGrad";
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@ -68,7 +68,7 @@ class WingmanQueue : public DataQueue {
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DataQueueStatus Pop() override;
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bool IsEmpty() const override { return queue_.empty(); }
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bool IsFull() const override { return false; }
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size_t Size() override { return queue_.size(); }
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size_t Size() const override { return queue_.size(); }
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private:
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std::queue<std::vector<DataQueueItem>> queue_;
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@ -98,7 +98,7 @@ ValueNodePtr CreateValueNode(const AnfNodePtr &node) {
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const BaseRef MaxPool3DGradGradFission::DefinePattern() const {
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VarPtr Xs = std::make_shared<SeqVar>();
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auto max_pool3d_grad_grad_prim = std::make_shared<Primitive>(kMaxPool3DGradGradOpName);
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auto max_pool3d_grad_grad_prim = std::make_shared<Primitive>(kMaxPool3DGradGradDOpName);
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return VectorRef({max_pool3d_grad_grad_prim, Xs});
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}
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@ -113,7 +113,7 @@ const AnfNodePtr MaxPool3DGradGradFission::Process(const FuncGraphPtr &graph, co
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MS_LOG(INFO) << "The node " << cnode->DebugString() << " is not equal to " << kInputNum << " inputs";
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return nullptr;
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}
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std::vector<AnfNodePtr> new_inputs{NewValueNode(std::make_shared<Primitive>(kMaxPool3DGradGradOpName))};
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std::vector<AnfNodePtr> new_inputs{NewValueNode(std::make_shared<Primitive>(kMaxPool3DGradGradDOpName))};
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auto assist_const = CreateValueNode(cnode);
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(void)new_inputs.insert(new_inputs.cend(), cnode->inputs().cbegin() + 1, cnode->inputs().cend());
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(void)new_inputs.emplace_back(assist_const);
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@ -89,6 +89,7 @@ REG_ASCEND_VM_OP_ADAPTATION_INFO(kLogSoftmaxOpName).set_backend_op_name(kLogSoft
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REG_ASCEND_VM_OP_ADAPTATION_INFO(kMatrixDiagOpName).set_backend_op_name(kMatrixDiagDOpName);
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REG_ASCEND_VM_OP_ADAPTATION_INFO(kMatrixDiagPartOpName).set_backend_op_name(kMatrixDiagPartDOpName);
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REG_ASCEND_VM_OP_ADAPTATION_INFO(kMatrixSetDiagOpName).set_backend_op_name(kMatrixSetDiagDOpName);
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REG_ASCEND_VM_OP_ADAPTATION_INFO(kMaxPool3DGradGradOpName).set_backend_op_name(kMaxPool3DGradGradDOpName);
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REG_ASCEND_VM_OP_ADAPTATION_INFO(kIm2ColOpName).set_backend_op_name(kIm2colOpName);
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REG_ASCEND_VM_OP_ADAPTATION_INFO(kNewIm2ColOpName).set_backend_op_name(kIm2colOpName);
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REG_ASCEND_VM_OP_ADAPTATION_INFO(kParallelResizeBilinearOpName).set_backend_op_name(kSyncResizeBilinearV2OpName);
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