feat(dnn): add an get_all_algorithms_safe interface

GitOrigin-RevId: e3734e4531c2f91205814ec6b490f5d6392f3fa3

dnn/include/megdnn/oprs/base.h

@@ -315,7 +315,7 @@ public:
     /*!
      * \brief get a string representation for current algorithm set;
      *
-     * get_all_algorithms() may return different algorithms only if
+     * get_all_algorithms_safe() may return different algorithms only if
      * algorithm set name differs. This is used for checking cache
      * validity.
      */
@@ -354,6 +354,15 @@ public:
         return ret;
     }
 
+    std::vector<AlgorithmInfo> get_all_algorithms_info_safe(const TensorLayout& p0,
+                                                       const TensorLayout& p1) {
+        std::vector<AlgorithmInfo> ret;
+        for (auto&& algo : get_all_algorithms_safe(p0, p1)) {
+            ret.emplace_back(algo->info());
+        }
+        return ret;
+    }
+
     /**
      * \brief Returns the best algorithm information which indicate the
      * algorithm by heuristic.
@@ -378,6 +387,8 @@ protected:
     //! get all possible algorithms for the specified layouts
     virtual std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& p0, const TensorLayout& p1) = 0;
+    virtual std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& p0, const TensorLayout& p1) = 0;
 
     /**
      * \brief Returns the best algorithm by heuristic.
@@ -412,6 +423,16 @@ public:
         return ret;
     }
 
+    std::vector<AlgorithmInfo> get_all_algorithms_info_safe(const TensorLayout& p0,
+                                                       const TensorLayout& p1,
+                                                       const TensorLayout& p2) {
+        std::vector<AlgorithmInfo> ret;
+        for (auto&& algo : get_all_algorithms_safe(p0, p1, p2)) {
+            ret.emplace_back(algo->info());
+        }
+        return ret;
+    }
+
     /**
      * \brief Returns the best algorithm information which indicate the
      * algorithm by heuristic.
@@ -438,6 +459,9 @@ protected:
     virtual std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& p0, const TensorLayout& p1,
             const TensorLayout& p2) = 0;
+    virtual std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& p0, const TensorLayout& p1,
+            const TensorLayout& p2) = 0;
 
     /**
      * \brief Returns the best algorithm by heuristic.
@@ -463,7 +487,7 @@ public:
     using AlgoAttribute = detail::Algorithm::Attribute;
 
     //! get all possible algorithm decriptions for the specified layouts
-    std::vector<AlgorithmInfo> get_all_algorithms_info(const TensorLayout& p0,
+       std::vector<AlgorithmInfo> get_all_algorithms_info(const TensorLayout& p0,
                                                        const TensorLayout& p1,
                                                        const TensorLayout& p2,
                                                        const TensorLayout& p3) {
@@ -474,6 +498,17 @@ public:
         return ret;
     }
 
+    std::vector<AlgorithmInfo> get_all_algorithms_info_safe(const TensorLayout& p0,
+                                                       const TensorLayout& p1,
+                                                       const TensorLayout& p2,
+                                                       const TensorLayout& p3) {
+        std::vector<AlgorithmInfo> ret;
+        for (auto&& algo : get_all_algorithms_safe(p0, p1, p2, p3)) {
+            ret.emplace_back(algo->info());
+        }
+        return ret;
+    }
+
     /**
      * \brief Returns the best algorithm information which indicate the
      * algorithm by heuristic.
@@ -500,6 +535,9 @@ protected:
     virtual std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& p0, const TensorLayout& p1,
             const TensorLayout& p2, const TensorLayout& p3) = 0;
+    virtual std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& p0, const TensorLayout& p1,
+            const TensorLayout& p2, const TensorLayout& p3) = 0;
 
     /**
      * \brief Returns the best algorithm by heuristic.
@@ -537,6 +575,18 @@ public:
         return ret;
     }
 
+    std::vector<AlgorithmInfo> get_all_algorithms_info_safe(const TensorLayout& p0,
+                                                       const TensorLayout& p1,
+                                                       const TensorLayout& p2,
+                                                       const TensorLayout& p3,
+                                                       const TensorLayout& p4) {
+        std::vector<AlgorithmInfo> ret;
+        for (auto&& algo : get_all_algorithms_safe(p0, p1, p2, p3, p4)) {
+            ret.emplace_back(algo->info());
+        }
+        return ret;
+    }
+
     /**
      * \brief Returns the best algorithm information which indicate the
      * algorithm by heuristic.
@@ -562,7 +612,11 @@ protected:
     ~MultiAlgoOpr() = default;
 
     //! get all possible algorithms for the specified layouts
-    virtual std::vector<Algorithm*> get_all_algorithms(
+        virtual std::vector<Algorithm*> get_all_algorithms(
+            const TensorLayout& p0, const TensorLayout& p1,
+            const TensorLayout& p2, const TensorLayout& p3,
+            const TensorLayout& p4) = 0;
+    virtual std::vector<Algorithm*> get_all_algorithms_safe(
             const TensorLayout& p0, const TensorLayout& p1,
             const TensorLayout& p2, const TensorLayout& p3,
             const TensorLayout& p4) = 0;
@@ -604,6 +658,18 @@ public:
         return ret;
     }
 
+    std::vector<AlgorithmInfo> get_all_algorithms_info_safe(
+            const TensorLayout& p0, const TensorLayout& p1,
+            const TensorLayout& p2, const TensorLayout& p3,
+            const TensorLayout& p4, const TensorLayout& p5,
+            const TensorLayout& p6, const TensorLayout& p7) {
+        std::vector<AlgorithmInfo> ret;
+        for (auto&& algo : get_all_algorithms_safe(p0, p1, p2, p3, p4, p5, p6, p7)) {
+            ret.emplace_back(algo->info());
+        }
+        return ret;
+    }
+
     /**
      * \brief Returns the best algorithm information which indicate the
      * algorithm by heuristic.
@@ -629,7 +695,12 @@ protected:
     ~MultiAlgoOpr() = default;
 
     //! get all possible algorithms for the specified layouts
-    virtual std::vector<Algorithm*> get_all_algorithms(
+        virtual std::vector<Algorithm*> get_all_algorithms(
+            const TensorLayout& p0, const TensorLayout& p1,
+            const TensorLayout& p2, const TensorLayout& p3,
+            const TensorLayout& p4, const TensorLayout& p5,
+            const TensorLayout& p6, const TensorLayout& p7) = 0;
+    virtual std::vector<Algorithm*> get_all_algorithms_safe(
             const TensorLayout& p0, const TensorLayout& p1,
             const TensorLayout& p2, const TensorLayout& p3,
             const TensorLayout& p4, const TensorLayout& p5,

dnn/src/arm_common/pooling/opr_impl.cpp

@@ -172,9 +172,14 @@ std::vector<Algorithm*> PoolingImpl::get_all_algorithms(
             ret.push_back(i);
         }
     }
-    megdnn_assert(!ret.empty(), "no usable pooling fwd algorithm");
     return ret;
 }
+std::vector<Algorithm*> PoolingImpl::get_all_algorithms_safe(
+        const TensorLayout& src, const TensorLayout& dst) {
+    auto ret_safe = get_all_algorithms(src,dst);
+    megdnn_assert(!ret_safe.empty(), "no usable pooling fwd algorithm");
+    return ret_safe;
+}
 
 Algorithm* PoolingImpl::get_algorithm_heuristic(
         const TensorLayout& src, const TensorLayout& dst,

dnn/src/arm_common/pooling/opr_impl.h

@@ -131,6 +131,8 @@ public:
 
     std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& src, const TensorLayout& dst) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& src, const TensorLayout& dst) override;
 
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& src, const TensorLayout& dst,

dnn/src/common/algo_chooser.h

@@ -100,10 +100,16 @@ std::vector<typename Opr::Algorithm*> get_all_algorithms(
             ret.push_back(i);
         }
     }
-    megdnn_assert(!ret.empty(), "no algorithm for %s",
-                  args.to_string().c_str());
     return ret;
 }
+template <class Opr>
+std::vector<typename Opr::Algorithm*> get_all_algorithms_safe(
+        const typename Opr::AlgoBase::SizeArgs& args) {
+    auto ret_safe = get_all_algorithms<Opr>(args);
+    megdnn_assert(!ret_safe.empty(), "no algorithm for %s",
+                  args.to_string().c_str());
+    return ret_safe;
+}
 
 /*!
  * \brief a helper function to get an algorithm match attribute. If require a

dnn/src/cuda/batch_conv_bias/opr_impl.cpp

@@ -51,6 +51,15 @@ BatchConvBiasForwardImpl::get_all_algorithms(const TensorLayout& src,
     AlgoBase::SizeArgs args{this, src, filter, bias, z, dst};
     return megdnn::get_all_algorithms<BatchConvBiasForwardImpl>(args);
 }
+std::vector<BatchConvBiasForwardImpl::Algorithm*>
+BatchConvBiasForwardImpl::get_all_algorithms_safe(const TensorLayout& src,
+                                             const TensorLayout& filter,
+                                             const TensorLayout& bias,
+                                             const TensorLayout& z,
+                                             const TensorLayout& dst) {
+    AlgoBase::SizeArgs args{this, src, filter, bias, z, dst};
+    return megdnn::get_all_algorithms_safe<BatchConvBiasForwardImpl>(args);
+}
 
 size_t BatchConvBiasForwardImpl::get_workspace_in_bytes(
         const TensorLayout& src, const TensorLayout& filter,

dnn/src/cuda/batch_conv_bias/opr_impl.h

@@ -42,6 +42,10 @@ protected:
             const TensorLayout& src, const TensorLayout& filter,
             const TensorLayout& bias, const TensorLayout& z,
             const TensorLayout& dst) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& src, const TensorLayout& filter,
+            const TensorLayout& bias, const TensorLayout& z,
+            const TensorLayout& dst) override;
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& src, const TensorLayout& filter,
             const TensorLayout& bias, const TensorLayout& z,

dnn/src/cuda/batched_matrix_mul/opr_impl.cpp

@@ -51,6 +51,12 @@ std::vector<Algorithm*> BatchedMatrixMulForwardImpl::get_all_algorithms(
     }
     return ret;
 }
+std::vector<Algorithm*> BatchedMatrixMulForwardImpl::get_all_algorithms_safe(
+        const TensorLayout& A, const TensorLayout& B, const TensorLayout& C) {
+    auto ret_safe = get_all_algorithms(A,B,C);
+    megdnn_assert(!ret_safe.empty(), "no usable batchedmatrixmulForward fwd algorithm");
+    return ret_safe;
+}
 
 Algorithm* BatchedMatrixMulForwardImpl::get_algorithm_heuristic(
         const TensorLayout& A, const TensorLayout& B, const TensorLayout& C,

dnn/src/cuda/batched_matrix_mul/opr_impl.h

@@ -45,6 +45,9 @@ protected:
     std::vector<Algorithm*> get_all_algorithms(const TensorLayout& A,
                                                const TensorLayout& B,
                                                const TensorLayout& C) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(const TensorLayout& A,
+                                               const TensorLayout& B,
+                                               const TensorLayout& C) override;
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& A, const TensorLayout& B, const TensorLayout& C,
             size_t workspace_limit_in_bytes, const AlgoAttribute& positive_attr,

dnn/src/cuda/conv_bias/opr_impl.cpp

@@ -49,6 +49,16 @@ ConvBiasForwardImpl::get_all_algorithms(const TensorLayout& src,
             {this, src, filter, bias, z, dst});
 }
 
+std::vector<ConvBiasForward::Algorithm*>
+ConvBiasForwardImpl::get_all_algorithms_safe(const TensorLayout& src,
+                                        const TensorLayout& filter,
+                                        const TensorLayout& bias,
+                                        const TensorLayout& z,
+                                        const TensorLayout& dst) {
+    return megdnn::get_all_algorithms_safe<ConvBiasForwardImpl>(
+            {this, src, filter, bias, z, dst});
+}
+
 ConvBiasForward::Algorithm* ConvBiasForwardImpl::get_algorithm_heuristic(
         const TensorLayout& src, const TensorLayout& filter,
         const TensorLayout& bias, const TensorLayout& z,

dnn/src/cuda/conv_bias/opr_impl.h

@@ -84,6 +84,10 @@ public:
             const TensorLayout& src, const TensorLayout& filter,
             const TensorLayout& bias, const TensorLayout& z,
             const TensorLayout& dst) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& src, const TensorLayout& filter,
+            const TensorLayout& bias, const TensorLayout& z,
+            const TensorLayout& dst) override;
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& src, const TensorLayout& filter,
             const TensorLayout& bias, const TensorLayout& z,

dnn/src/cuda/convolution/opr_impl.cpp

@@ -53,6 +53,14 @@ ConvolutionForwardImpl::get_all_algorithms(const TensorLayout& src,
     return megdnn::get_all_algorithms<ConvolutionForwardImpl>(args);
 }
 
+std::vector<ConvolutionForwardImpl::Algorithm*>
+ConvolutionForwardImpl::get_all_algorithms_safe(const TensorLayout& src,
+                                           const TensorLayout& filter,
+                                           const TensorLayout& dst) {
+    AlgoBase::SizeArgs args{this, src, filter, dst};
+    return megdnn::get_all_algorithms_safe<ConvolutionForwardImpl>(args);
+}
+
 size_t ConvolutionForwardImpl::get_workspace_in_bytes(
         const TensorLayout& src, const TensorLayout& filter,
         const TensorLayout& dst,
@@ -97,6 +105,14 @@ ConvolutionBackwardDataImpl::get_all_algorithms(const TensorLayout& filter,
             {this, filter, diff, grad});
 }
 
+std::vector<ConvolutionBackwardDataImpl::Algorithm*>
+ConvolutionBackwardDataImpl::get_all_algorithms_safe(const TensorLayout& filter,
+                                                const TensorLayout& diff,
+                                                const TensorLayout& grad) {
+    return megdnn::get_all_algorithms_safe<ConvolutionBackwardDataImpl>(
+            {this, filter, diff, grad});
+}
+
 ConvolutionBackwardDataImpl::Algorithm*
 ConvolutionBackwardDataImpl::get_algorithm_heuristic(
         const TensorLayout& filter, const TensorLayout& diff,
@@ -222,6 +238,14 @@ ConvolutionBackwardFilterImpl::get_all_algorithms(const TensorLayout& src,
             {this, src, diff, grad});
 }
 
+std::vector<ConvolutionBackwardFilterImpl::Algorithm*>
+ConvolutionBackwardFilterImpl::get_all_algorithms_safe(const TensorLayout& src,
+                                                  const TensorLayout& diff,
+                                                  const TensorLayout& grad) {
+    return megdnn::get_all_algorithms_safe<ConvolutionBackwardFilterImpl>(
+            {this, src, diff, grad});
+}
+
 ConvolutionBackwardFilterImpl::Algorithm*
 ConvolutionBackwardFilterImpl::get_algorithm_heuristic(
         const TensorLayout& src, const TensorLayout& diff,

dnn/src/cuda/convolution/opr_impl.h

@@ -59,6 +59,10 @@ protected:
     std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& src, const TensorLayout& filter,
             const TensorLayout& dst) override;
+
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& src, const TensorLayout& filter,
+            const TensorLayout& dst) override;
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& src, const TensorLayout& filter,
             const TensorLayout& dst, size_t workspace_limit_in_bytes,
@@ -111,6 +115,10 @@ protected:
     std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& filter, const TensorLayout& diff,
             const TensorLayout& grad) override;
+
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& filter, const TensorLayout& diff,
+            const TensorLayout& grad) override;
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& filter, const TensorLayout& diff,
             const TensorLayout& grad, size_t workspace_limit_in_bytes,
@@ -159,6 +167,10 @@ protected:
     std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& src, const TensorLayout& diff,
             const TensorLayout& grad) override;
+
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& src, const TensorLayout& diff,
+            const TensorLayout& grad) override;
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& src, const TensorLayout& diff,
             const TensorLayout& grad, size_t workspace_limit_in_bytes,

dnn/src/cuda/convolution3d/opr_impl.cpp

@@ -108,6 +108,14 @@ Convolution3DForwardImpl::get_all_algorithms(const TensorLayout& src,
             {this, src, filter, dst});
 }
 
+std::vector<Convolution3DForwardImpl::Algorithm*>
+Convolution3DForwardImpl::get_all_algorithms_safe(const TensorLayout& src,
+                                             const TensorLayout& filter,
+                                             const TensorLayout& dst) {
+    return megdnn::get_all_algorithms_safe<Convolution3DForwardImpl>(
+            {this, src, filter, dst});
+}
+
 size_t Convolution3DForwardImpl::get_workspace_in_bytes(
         const TensorLayout& src, const TensorLayout& filter,
         const TensorLayout& dst) {
@@ -146,6 +154,14 @@ Convolution3DBackwardDataImpl::get_all_algorithms(const TensorLayout& filter,
             {this, filter, diff, grad});
 }
 
+std::vector<Convolution3DBackwardDataImpl::Algorithm*>
+Convolution3DBackwardDataImpl::get_all_algorithms_safe(const TensorLayout& filter,
+                                                  const TensorLayout& diff,
+                                                  const TensorLayout& grad) {
+    return megdnn::get_all_algorithms_safe<Convolution3DBackwardDataImpl>(
+            {this, filter, diff, grad});
+}
+
 Convolution3DBackwardDataImpl::Algorithm*
 Convolution3DBackwardDataImpl::get_algorithm_heuristic(
         const TensorLayout& filter, const TensorLayout& diff,
@@ -226,6 +242,14 @@ Convolution3DBackwardFilterImpl::get_all_algorithms(const TensorLayout& src,
             {this, src, diff, grad});
 }
 
+std::vector<Convolution3DBackwardFilterImpl::Algorithm*>
+Convolution3DBackwardFilterImpl::get_all_algorithms_safe(const TensorLayout& src,
+                                                    const TensorLayout& diff,
+                                                    const TensorLayout& grad) {
+    return megdnn::get_all_algorithms_safe<Convolution3DBackwardFilterImpl>(
+            {this, src, diff, grad});
+}
+
 Convolution3DBackwardFilterImpl::Algorithm*
 Convolution3DBackwardFilterImpl::get_algorithm_heuristic(
         const TensorLayout& src, const TensorLayout& diff,

dnn/src/cuda/convolution3d/opr_impl.h

@@ -39,6 +39,9 @@ protected:
     std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& src, const TensorLayout& filter,
             const TensorLayout& dst) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& src, const TensorLayout& filter,
+            const TensorLayout& dst) override;
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& src, const TensorLayout& filter,
             const TensorLayout& dst, size_t workspace_limit_in_bytes,
@@ -72,6 +75,9 @@ public:
 
 protected:
     std::vector<Algorithm*> get_all_algorithms(
+            const TensorLayout& src, const TensorLayout& filter,
+            const TensorLayout& dst) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
             const TensorLayout& filter, const TensorLayout& diff,
             const TensorLayout& grad) override;
     Algorithm* get_algorithm_heuristic(
@@ -109,6 +115,9 @@ protected:
     std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& src, const TensorLayout& diff,
             const TensorLayout& grad) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& src, const TensorLayout& diff,
+            const TensorLayout& grad) override;
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& src, const TensorLayout& diff,
             const TensorLayout& grad, size_t workspace_limit_in_bytes,

dnn/src/cuda/deformable_conv/opr_impl.cpp

@@ -51,6 +51,15 @@ std::vector<AlgoFwd*> Fwd::get_all_algorithms(const TensorLayout& /* im */,
 
     return algos;
 }
+std::vector<AlgoFwd*> Fwd::get_all_algorithms_safe(const TensorLayout& im,
+                                              const TensorLayout& filter,
+                                              const TensorLayout& offset,
+                                              const TensorLayout& mask,
+                                              const TensorLayout& dst) {
+    auto ret_safe = Fwd::get_all_algorithms(im,filter,offset,mask,dst);
+    megdnn_assert(!ret_safe.empty(), "no usable deformable_conv fwd algorithm");
+    return ret_safe;
+}
 
 AlgoFwd* Fwd::get_algorithm_heuristic(const TensorLayout& im,
                                       const TensorLayout& filter,
@@ -115,6 +124,14 @@ std::vector<AlgoBwdFlt*> BwdFlt::get_all_algorithms(const TensorLayout& /* im */
     return algos;
 }
 
+std::vector<AlgoBwdFlt*> BwdFlt::get_all_algorithms_safe(const TensorLayout& im, 
+        const TensorLayout& offset, const TensorLayout& mask,
+        const TensorLayout& out_grad, const TensorLayout& filter_grad) {
+    auto ret_safe = BwdFlt::get_all_algorithms(im,offset,mask,out_grad,filter_grad);
+    megdnn_assert(!ret_safe.empty(), "no usable deformable_conv bwd filter algorithm");
+    return ret_safe;
+}
+
 AlgoBwdFlt* BwdFlt::get_algorithm_heuristic(
         const TensorLayout& im, const TensorLayout& offset,
         const TensorLayout& mask, const TensorLayout& out_grad,
@@ -181,6 +198,14 @@ std::vector<AlgoBwdData*> BwdData::get_all_algorithms(
         algos.push_back(static_cast<AlgoBwdData*>(i));
     return algos;
 }
+std::vector<AlgoBwdData*> BwdData::get_all_algorithms_safe(
+        const TensorLayout& im, const TensorLayout& filter,
+        const TensorLayout& offset, const TensorLayout& mask, const TensorLayout& out_grad,
+        const TensorLayout& im_grad, const TensorLayout& offset_grad, const TensorLayout& mask_grad ) {
+    auto ret_safe = BwdData::get_all_algorithms(im,filter,offset,mask,out_grad,im_grad,offset_grad,mask_grad);
+    megdnn_assert(!ret_safe.empty(), "no usable deformable_conv bwd data algorithm");
+    return ret_safe;
+}
 
 AlgoBwdData* BwdData::get_algorithm_heuristic(
         const TensorLayout& im, const TensorLayout& filter,

dnn/src/cuda/deformable_conv/opr_impl.h

@@ -54,6 +54,10 @@ protected:
             const TensorLayout& im, const TensorLayout& filter,
             const TensorLayout& offset, const TensorLayout& mask,
             const TensorLayout& dst) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& im, const TensorLayout& filter,
+            const TensorLayout& offset, const TensorLayout& mask,
+            const TensorLayout& dst) override;
 
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& im, const TensorLayout& filter,
@@ -105,6 +109,10 @@ protected:
             const TensorLayout& im, const TensorLayout& offset,
             const TensorLayout& mask, const TensorLayout& out_grad,
             const TensorLayout& filter_grad) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& im, const TensorLayout& offset,
+            const TensorLayout& mask, const TensorLayout& out_grad,
+            const TensorLayout& filter_grad) override;
 
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& im, const TensorLayout& offset,
@@ -161,6 +169,13 @@ protected:
             const TensorLayout& out_grad, const TensorLayout& im_grad,
             const TensorLayout& offset_grad,
             const TensorLayout& mask_grad) override;
+            
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& im, const TensorLayout& filter,
+            const TensorLayout& offset, const TensorLayout& mask,
+            const TensorLayout& out_grad, const TensorLayout& im_grad,
+            const TensorLayout& offset_grad,
+            const TensorLayout& mask_grad) override;
 
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& im, const TensorLayout& filter,

dnn/src/cuda/local_share/opr_impl.cpp

@@ -47,7 +47,6 @@ LocalShareForwardImpl::get_algorithm_heuristic(
                      Algorithm::attribute_str(positive_attr).c_str(),
                      args.to_string().c_str(), workspace_limit_in_bytes));
 }
-
 std::vector<LocalShareForwardImpl::Algorithm*>
 LocalShareForwardImpl::get_all_algorithms(const TensorLayout& src,
                                           const TensorLayout& filter,
@@ -56,6 +55,14 @@ LocalShareForwardImpl::get_all_algorithms(const TensorLayout& src,
     return megdnn::get_all_algorithms<LocalShareForwardImpl>(args);
 }
 
+std::vector<LocalShareForwardImpl::Algorithm*>
+LocalShareForwardImpl::get_all_algorithms_safe(const TensorLayout& src,
+                                          const TensorLayout& filter,
+                                          const TensorLayout& dst) {
+    AlgoBase::SizeArgs args{this, src, filter, dst};
+    return megdnn::get_all_algorithms_safe<LocalShareForwardImpl>(args);
+}
+
 size_t LocalShareForwardImpl::get_workspace_in_bytes(const TensorLayout& src,
                                                      const TensorLayout& filter,
                                                      const TensorLayout& dst) {
@@ -109,6 +116,14 @@ LocalShareBackwardDataImpl::get_all_algorithms(const TensorLayout& filter,
     return megdnn::get_all_algorithms<LocalShareBackwardDataImpl>(args);
 }
 
+std::vector<LocalShareBackwardDataImpl::Algorithm*>
+LocalShareBackwardDataImpl::get_all_algorithms_safe(const TensorLayout& filter,
+                                          const TensorLayout& diff,
+                                          const TensorLayout& grad) {
+    AlgoBase::SizeArgs args{this, filter, diff, grad};
+    return megdnn::get_all_algorithms_safe<LocalShareBackwardDataImpl>(args);
+}
+
 size_t LocalShareBackwardDataImpl::get_workspace_in_bytes(const TensorLayout& filter,
                                                      const TensorLayout& diff,
                                                      const TensorLayout& grad) {
@@ -162,6 +177,14 @@ LocalShareBackwardFilterImpl::get_all_algorithms(const TensorLayout& src,
     return megdnn::get_all_algorithms<LocalShareBackwardFilterImpl>(args);
 }
 
+std::vector<LocalShareBackwardFilterImpl::Algorithm*>
+LocalShareBackwardFilterImpl::get_all_algorithms_safe(const TensorLayout& src,
+                                          const TensorLayout& diff,
+                                          const TensorLayout& grad) {
+    AlgoBase::SizeArgs args{this, src, diff, grad};
+    return megdnn::get_all_algorithms_safe<LocalShareBackwardFilterImpl>(args);
+}
+
 size_t LocalShareBackwardFilterImpl::get_workspace_in_bytes(const TensorLayout& src,
                                                      const TensorLayout& diff,
                                                      const TensorLayout& grad) {

dnn/src/cuda/local_share/opr_impl.h

@@ -37,6 +37,9 @@ public:
 
 protected:
     std::vector<Algorithm*> get_all_algorithms(
+            const TensorLayout& filter, const TensorLayout& diff,
+            const TensorLayout& grad) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
             const TensorLayout& src, const TensorLayout& filter,
             const TensorLayout& dst) override;
     Algorithm* get_algorithm_heuristic(
@@ -72,6 +75,9 @@ protected:
     std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& filter, const TensorLayout& diff,
             const TensorLayout& grad) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& filter, const TensorLayout& diff,
+            const TensorLayout& grad) override;
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& filter, const TensorLayout& diff,
             const TensorLayout& grad, size_t workspace_limit_in_bytes,
@@ -105,6 +111,9 @@ protected:
     std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& src, const TensorLayout& diff,
             const TensorLayout& grad) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& src, const TensorLayout& diff,
+            const TensorLayout& grad) override;
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& src, const TensorLayout& diff,
             const TensorLayout& grad, size_t workspace_limit_in_bytes,

dnn/src/cuda/matrix_mul/opr_impl.cpp

@@ -28,6 +28,14 @@ MatrixMulForwardImpl::get_all_algorithms(const TensorLayout& A,
     return megdnn::get_all_algorithms<MatrixMulForwardImpl>(args);
 }
 
+std::vector<MatrixMulForwardImpl::Algorithm*>
+MatrixMulForwardImpl::get_all_algorithms_safe(const TensorLayout& A,
+                                         const TensorLayout& B,
+                                         const TensorLayout& C) {
+    AlgoBase::SizeArgs args{this, A, B, C};
+    return megdnn::get_all_algorithms_safe<MatrixMulForwardImpl>(args);
+}
+
 MatrixMulForwardImpl::Algorithm* MatrixMulForwardImpl::get_algorithm_heuristic(
         const TensorLayout& A, const TensorLayout& B, const TensorLayout& C,
         size_t workspace_limit_in_bytes, const AlgoAttribute& positive_attr,

dnn/src/cuda/matrix_mul/opr_impl.h

@@ -60,6 +60,10 @@ protected:
     std::vector<Algorithm*> get_all_algorithms(const TensorLayout& A,
                                                const TensorLayout& B,
                                                const TensorLayout& C) override;
+
+    std::vector<Algorithm*> get_all_algorithms_safe(const TensorLayout& A,
+                                               const TensorLayout& B,
+                                               const TensorLayout& C) override;
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& A, const TensorLayout& B, const TensorLayout& C,
             size_t workspace_limit_in_bytes, const AlgoAttribute& positive_attr,

dnn/src/cuda/pooling/opr_impl.cpp

@@ -33,6 +33,11 @@ PoolingForwardImpl::get_all_algorithms(const TensorLayout& src,
                                        const TensorLayout& dst) {
     return megdnn::get_all_algorithms<PoolingForwardImpl>({this, src, dst});
 }
+std::vector<PoolingForwardImpl::Algorithm*>
+PoolingForwardImpl::get_all_algorithms_safe(const TensorLayout& src,
+                                            const TensorLayout& dst) {
+    return megdnn::get_all_algorithms_safe<PoolingForwardImpl>({this, src, dst});
+}
 
 PoolingForwardImpl::Algorithm* PoolingForwardImpl::get_algorithm_heuristic(
         const TensorLayout& src, const TensorLayout& dst,
@@ -77,6 +82,15 @@ PoolingBackwardImpl::get_all_algorithms(const TensorLayout& src,
             {this, src, dst, diff, grad});
 }
 
+std::vector<PoolingBackwardImpl::Algorithm*>
+PoolingBackwardImpl::get_all_algorithms_safe(const TensorLayout& src,
+                                        const TensorLayout& dst,
+                                        const TensorLayout& diff,
+                                        const TensorLayout& grad) {
+    return megdnn::get_all_algorithms_safe<PoolingBackwardImpl>(
+            {this, src, dst, diff, grad});
+}
+
 PoolingBackwardImpl::Algorithm* PoolingBackwardImpl::get_algorithm_heuristic(
         const TensorLayout& src, const TensorLayout& dst,
         const TensorLayout& diff, const TensorLayout& grad,

dnn/src/cuda/pooling/opr_impl.h

@@ -55,6 +55,8 @@ public:
 protected:
     std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& src, const TensorLayout& dst) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& src, const TensorLayout& dst) override;
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& src, const TensorLayout& dst,
             size_t workspace_limit_in_bytes, const AlgoAttribute& positive_attr,
@@ -99,6 +101,9 @@ protected:
     std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& src, const TensorLayout& dst,
             const TensorLayout& diff, const TensorLayout& grad) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& src, const TensorLayout& dst,
+            const TensorLayout& diff, const TensorLayout& grad) override;
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& src, const TensorLayout& dst,
             const TensorLayout& diff, const TensorLayout& grad,

dnn/src/fallback/batched_matrix_mul/opr_impl.cpp

@@ -26,6 +26,13 @@ BatchedMatrixMulForwardImpl::get_all_algorithms(const TensorLayout& A,
     AlgoBase::SizeArgs args{this, A, B, C};
     return megdnn::get_all_algorithms<BatchedMatrixMulForwardImpl>(args);
 }
+std::vector<BatchedMatrixMulForwardImpl::Algorithm*>
+BatchedMatrixMulForwardImpl::get_all_algorithms_safe(const TensorLayout& A,
+                                                const TensorLayout& B,
+                                                const TensorLayout& C) {
+    AlgoBase::SizeArgs args{this, A, B, C};
+    return megdnn::get_all_algorithms_safe<BatchedMatrixMulForwardImpl>(args);
+}
 
 BatchedMatrixMulForwardImpl::Algorithm*
 BatchedMatrixMulForwardImpl::get_algorithm_heuristic(

dnn/src/fallback/batched_matrix_mul/opr_impl.h

@@ -35,6 +35,9 @@ private:
     std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& /*A*/, const TensorLayout& /*B*/,
             const TensorLayout& /*C*/) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& /*A*/, const TensorLayout& /*B*/,
+            const TensorLayout& /*C*/) override;
 
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& /*A*/, const TensorLayout& /*B*/,

dnn/src/fallback/conv_bias/opr_impl.cpp

@@ -279,11 +279,18 @@ std::vector<ConvBiasImpl::Algorithm*> ConvBiasImpl::get_all_algorithms(
     auto fparam = make_ncb_kern_size_param(src, filter, bias, dst, nullptr);
     auto ret = get_all_algorithms_with_ncb(fparam);
     if (ret.empty()) {
-        return naive::ConvBiasForwardImpl::get_all_algorithms(src, filter, bias,
+        return naive::ConvBiasForwardImpl::get_all_algorithms_safe(src, filter, bias,
                                                               z, dst);
     }
     return ret;
 }
+std::vector<ConvBiasImpl::Algorithm*> ConvBiasImpl::get_all_algorithms_safe(
+        const TensorLayout& src, const TensorLayout& filter,
+        const TensorLayout& bias, const TensorLayout& z,
+        const TensorLayout& dst) {
+    auto ret_safe = ConvBiasImpl::get_all_algorithms(src,filter,bias,z,dst);
+    return ret_safe;
+}
 
 ConvBiasImpl::Algorithm* ConvBiasImpl::get_algorithm_heuristic(
         const TensorLayout& src, const TensorLayout& filter,

dnn/src/fallback/conv_bias/opr_impl.h

@@ -87,6 +87,10 @@ public:
             const TensorLayout& src, const TensorLayout& filter,
             const TensorLayout& bias, const TensorLayout& z,
             const TensorLayout& dst) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& src, const TensorLayout& filter,
+            const TensorLayout& bias, const TensorLayout& z,
+            const TensorLayout& dst) override;
 
     //! implemented by get_algorithm_heuristic_with_ncb()
     Algorithm* get_algorithm_heuristic(

dnn/src/fallback/convolution/opr_impl.cpp

@@ -198,12 +198,19 @@ std::vector<ConvolutionImpl::Algorithm*> ConvolutionImpl::get_all_algorithms(
     auto fparam = make_ncb_kern_size_param(src, filter, dst, nullptr);
     auto ret = get_all_algorithms_with_ncb(fparam);
     if (ret.empty()) {
-        return naive::ConvolutionForwardImpl::get_all_algorithms(src, filter,
+        return naive::ConvolutionForwardImpl::get_all_algorithms_safe(src, filter,
                                                                  dst);
     }
     return ret;
 }
 
+std::vector<ConvolutionImpl::Algorithm*> ConvolutionImpl::get_all_algorithms_safe(
+        const TensorLayout& src, const TensorLayout& filter,
+        const TensorLayout& dst) {
+    auto ret_safe = ConvolutionImpl::get_all_algorithms(src,filter,dst);
+    return ret_safe;
+}
+
 ConvolutionImpl::Algorithm* ConvolutionImpl::get_algorithm_heuristic(
         const TensorLayout& src, const TensorLayout& filter,
         const TensorLayout& dst, size_t workspace_limit_in_bytes,
@@ -536,10 +543,19 @@ ConvolutionBackwardDataImpl::get_all_algorithms(const TensorLayout& filter,
     }
     auto fparam = make_ncb_kern_size_param(filter, diff, grad);
     auto ret = get_all_algorithms_with_ncb(fparam);
-    megdnn_assert(!ret.empty(), "no usable conv fwd algorithm");
     return ret;
 }
 
+std::vector<ConvolutionBackwardDataImpl::Algorithm*>
+ConvolutionBackwardDataImpl::get_all_algorithms_safe(const TensorLayout& filter,
+                                                const TensorLayout& diff,
+                                                const TensorLayout& grad) {
+    
+    auto ret_safe = ConvolutionBackwardDataImpl::get_all_algorithms(filter,diff,grad);
+    megdnn_assert(!ret_safe.empty(), "no usable conv bwd algorithm");
+    return ret_safe;
+}
+
 ConvolutionBackwardDataImpl::Algorithm*
 ConvolutionBackwardDataImpl::get_algorithm_heuristic(
         const TensorLayout& filter, const TensorLayout& diff,

dnn/src/fallback/convolution/opr_impl.h

@@ -85,6 +85,10 @@ public:
             const TensorLayout& src, const TensorLayout& filter,
             const TensorLayout& dst) override;
 
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& src, const TensorLayout& filter,
+            const TensorLayout& dst) override;
+
     //! implemented by get_algorithm_heuristic_with_ncb()
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& src, const TensorLayout& filter,
@@ -326,6 +330,9 @@ public:
     std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& filter, const TensorLayout& diff,
             const TensorLayout& grad) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& filter, const TensorLayout& diff,
+            const TensorLayout& grad) override;
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& filter, const TensorLayout& diff,
             const TensorLayout& grad, size_t workspace_limit_in_bytes,

dnn/src/fallback/matrix_mul/opr_impl.cpp

@@ -96,6 +96,13 @@ std::vector<MatrixMul::Algorithm*> MatrixMulImpl::get_all_algorithms(
     return gemv_algos;
 }
 
+std::vector<MatrixMul::Algorithm*> MatrixMulImpl::get_all_algorithms_safe(
+        const TensorLayout& A, const TensorLayout& B, const TensorLayout& C) {
+    auto gemv_algos_safe = get_all_algorithms(A,B,C);
+    megdnn_assert(!gemv_algos_safe.empty(), "no usable MatrixMul fwd algorithm");
+    return gemv_algos_safe;
+}
+
 MatrixMulImpl::Algorithm* MatrixMulImpl::get_algorithm_from_desc(
         const AlgorithmDesc& desc) {
     if (!desc.valid()) {

dnn/src/fallback/matrix_mul/opr_impl.h

@@ -270,6 +270,10 @@ protected:
                                                const TensorLayout& B,
                                                const TensorLayout& C) override;
 
+    std::vector<Algorithm*> get_all_algorithms_safe(const TensorLayout& A,
+                                               const TensorLayout& B,
+                                               const TensorLayout& C) override;
+
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& A, const TensorLayout& B, const TensorLayout& C,
             size_t workspace_limit_in_bytes, const AlgoAttribute& positive_attr,

dnn/src/naive/batch_conv_bias/opr_impl.cpp

@@ -128,6 +128,16 @@ BatchConvBiasForwardImpl::get_all_algorithms(const TensorLayout&,
                     ->default_batch_conv_bias_fwd_algo()};
 }
 
+std::vector<BatchConvBiasForward::Algorithm*>
+BatchConvBiasForwardImpl::get_all_algorithms_safe(const TensorLayout&,
+                                             const TensorLayout&,
+                                             const TensorLayout&,
+                                             const TensorLayout&,
+                                             const TensorLayout&) {
+    return {static_cast<HandleImpl*>(handle())
+                    ->default_batch_conv_bias_fwd_algo()};
+}
+
 BatchConvBiasForward::Algorithm*
 BatchConvBiasForwardImpl::get_algorithm_heuristic(
         const TensorLayout& /* src */, const TensorLayout& /* filter */,

dnn/src/naive/batch_conv_bias/opr_impl.h

@@ -30,6 +30,11 @@ public:
             const TensorLayout& src, const TensorLayout& filter,
             const TensorLayout& bias, const TensorLayout& z,
             const TensorLayout& dst) override;
+            
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& src, const TensorLayout& filter,
+            const TensorLayout& bias, const TensorLayout& z,
+            const TensorLayout& dst) override;
 
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& src, const TensorLayout& filter,

dnn/src/naive/batched_matrix_mul/opr_impl.cpp

@@ -63,7 +63,6 @@ void BatchedMatrixMulForwardImpl::exec(_megdnn_tensor_in A,
     }
 
 }
-
 std::vector<BatchedMatrixMulForward::Algorithm*>
 BatchedMatrixMulForwardImpl::get_all_algorithms(const TensorLayout& /*A*/,
                                                 const TensorLayout& /*B*/,
@@ -71,6 +70,13 @@ BatchedMatrixMulForwardImpl::get_all_algorithms(const TensorLayout& /*A*/,
     return {static_cast<HandleImpl*>(handle())
                     ->default_batched_matmul_fwd_algo()};
 }
+std::vector<BatchedMatrixMulForward::Algorithm*>
+BatchedMatrixMulForwardImpl::get_all_algorithms_safe(const TensorLayout& /*A*/,
+                                                const TensorLayout& /*B*/,
+                                                const TensorLayout& /*C*/) {
+    return {static_cast<HandleImpl*>(handle())
+                    ->default_batched_matmul_fwd_algo()};
+}
 
 BatchedMatrixMulForward::Algorithm*
 BatchedMatrixMulForwardImpl::get_algorithm_heuristic(

dnn/src/naive/batched_matrix_mul/opr_impl.h

@@ -27,6 +27,9 @@ public:
     std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& /*A*/, const TensorLayout& /*B*/,
             const TensorLayout& /*C*/) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& /*A*/, const TensorLayout& /*B*/,
+            const TensorLayout& /*C*/) override;
 
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& /*A*/, const TensorLayout& /*B*/,

dnn/src/naive/conv_bias/opr_impl.cpp

@@ -321,6 +321,15 @@ ConvBiasForwardImpl::get_all_algorithms(const TensorLayout&,
     return {static_cast<HandleImpl*>(handle())->default_conv_bias_fwd_algo()};
 }
 
+std::vector<ConvBiasForward::Algorithm*>
+ConvBiasForwardImpl::get_all_algorithms_safe(const TensorLayout&,
+                                        const TensorLayout&,
+                                        const TensorLayout&,
+                                        const TensorLayout&,
+                                        const TensorLayout&) {
+    return {static_cast<HandleImpl*>(handle())->default_conv_bias_fwd_algo()};
+}
+
 ConvBiasForward::Algorithm* ConvBiasForwardImpl::get_algorithm_heuristic(
         const TensorLayout& /* src */, const TensorLayout& /* filter */,
         const TensorLayout& /* bias */, const TensorLayout& /* z */,

dnn/src/naive/conv_bias/opr_impl.h

@@ -31,6 +31,11 @@ public:
             const TensorLayout& bias, const TensorLayout& z,
             const TensorLayout& dst) override;
 
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& src, const TensorLayout& filter,
+            const TensorLayout& bias, const TensorLayout& z,
+            const TensorLayout& dst) override;
+
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& src, const TensorLayout& filter,
             const TensorLayout& bias, const TensorLayout& z,

dnn/src/naive/convolution/convolution.cpp

@@ -287,6 +287,13 @@ ConvolutionForwardImpl:: get_all_algorithms(const TensorLayout &,
     return {static_cast<HandleImpl *>(handle())->default_conv_fwd_algo()};
 }
 
+std::vector<ConvolutionForward::Algorithm *>
+ConvolutionForwardImpl:: get_all_algorithms_safe(const TensorLayout &,
+        const TensorLayout &, const TensorLayout &)
+{
+    return {static_cast<HandleImpl *>(handle())->default_conv_fwd_algo()};
+}
+
 ConvolutionForward::Algorithm* ConvolutionForwardImpl::get_algorithm_heuristic(
         const TensorLayout& /* src */, const TensorLayout& /* filter */,
         const TensorLayout& /* dst */, size_t /* workspace_limit_in_bytes */,
@@ -313,6 +320,13 @@ ConvolutionBackwardDataImpl:: get_all_algorithms(const TensorLayout &,
     return {static_cast<HandleImpl *>(handle())->default_conv_bwd_data_algo()};
 }
 
+std::vector<ConvolutionBackwardData::Algorithm *>
+ConvolutionBackwardDataImpl:: get_all_algorithms_safe(const TensorLayout &,
+        const TensorLayout &, const TensorLayout &)
+{
+    return {static_cast<HandleImpl *>(handle())->default_conv_bwd_data_algo()};
+}
+
 ConvolutionBackwardData::Algorithm*
 ConvolutionBackwardDataImpl::get_algorithm_heuristic(
         const TensorLayout& /* filter */, const TensorLayout& /* diff */,
@@ -341,6 +355,13 @@ ConvolutionBackwardFilterImpl:: get_all_algorithms(const TensorLayout &,
     return {static_cast<HandleImpl*>(handle())->default_conv_bwd_filter_algo()};
 }
 
+std::vector<ConvolutionBackwardFilter::Algorithm *>
+ConvolutionBackwardFilterImpl:: get_all_algorithms_safe(const TensorLayout &,
+        const TensorLayout &, const TensorLayout &)
+{
+    return {static_cast<HandleImpl*>(handle())->default_conv_bwd_filter_algo()};
+}
+
 ConvolutionBackwardFilter::Algorithm*
 ConvolutionBackwardFilterImpl::get_algorithm_heuristic(
         const TensorLayout& /* src */, const TensorLayout& /* diff */,

dnn/src/naive/convolution/opr_impl.h

@@ -25,6 +25,9 @@ class ConvolutionForwardImpl: public ConvolutionForward {
         std::vector<Algorithm *> get_all_algorithms(const TensorLayout &src,
                 const TensorLayout &filter,
                 const TensorLayout &dst) override;
+        std::vector<Algorithm *> get_all_algorithms_safe(const TensorLayout &src,
+                const TensorLayout &filter,
+                const TensorLayout &dst) override;
         Algorithm* get_algorithm_heuristic(
                 const TensorLayout& src, const TensorLayout& filter,
                 const TensorLayout& dst, size_t workspace_limit_in_bytes,
@@ -67,6 +70,9 @@ class ConvolutionBackwardDataImpl: public ConvolutionBackwardData {
         std::vector<Algorithm *> get_all_algorithms(const TensorLayout &filter,
                 const TensorLayout &diff,
                 const TensorLayout &grad) override;
+        std::vector<Algorithm *> get_all_algorithms_safe(const TensorLayout &filter,
+                const TensorLayout &diff,
+                const TensorLayout &grad) override;
         Algorithm* get_algorithm_heuristic(
                 const TensorLayout& filter, const TensorLayout& diff,
                 const TensorLayout& grad, size_t workspace_limit_in_bytes,
@@ -90,6 +96,9 @@ class ConvolutionBackwardFilterImpl: public ConvolutionBackwardFilter {
         std::vector<Algorithm *> get_all_algorithms(const TensorLayout &src,
                 const TensorLayout &diff,
                 const TensorLayout &grad) override;
+        std::vector<Algorithm *> get_all_algorithms_safe(const TensorLayout &src,
+                const TensorLayout &diff,
+                const TensorLayout &grad) override;
         Algorithm* get_algorithm_heuristic(
                 const TensorLayout& src, const TensorLayout& diff,
                 const TensorLayout& grad, size_t workspace_limit_in_bytes,

dnn/src/naive/convolution3d/convolution3d.cpp

@@ -108,13 +108,18 @@ void Convolution3DBackwardFilterImpl::exec(_megdnn_tensor_in src,
 
     megdnn_assert_internal(0);
 }
-
 std::vector<Convolution3DForward::Algorithm*>
 Convolution3DForwardImpl::get_all_algorithms(const TensorLayout&,
                                              const TensorLayout&,
                                              const TensorLayout&) {
     return {static_cast<HandleImpl*>(handle())->default_conv3d_fwd_algo()};
 }
+std::vector<Convolution3DForward::Algorithm*>
+Convolution3DForwardImpl::get_all_algorithms_safe(const TensorLayout&,
+                                             const TensorLayout&,
+                                             const TensorLayout&) {
+    return {static_cast<HandleImpl*>(handle())->default_conv3d_fwd_algo()};
+}
 
 Convolution3DForward::Algorithm*
 Convolution3DForwardImpl::get_algorithm_heuristic(
@@ -143,6 +148,13 @@ Convolution3DBackwardDataImpl::get_all_algorithms(const TensorLayout&,
     return {static_cast<HandleImpl*>(handle())->default_conv3d_bwd_data_algo()};
 }
 
+std::vector<Convolution3DBackwardData::Algorithm*>
+Convolution3DBackwardDataImpl::get_all_algorithms_safe(const TensorLayout&,
+                                                  const TensorLayout&,
+                                                  const TensorLayout&) {
+    return {static_cast<HandleImpl*>(handle())->default_conv3d_bwd_data_algo()};
+}
+
 Convolution3DBackwardData::Algorithm*
 Convolution3DBackwardDataImpl::get_algorithm_heuristic(
         const TensorLayout& /* filter */, const TensorLayout& /* diff */,
@@ -172,6 +184,14 @@ Convolution3DBackwardFilterImpl::get_all_algorithms(const TensorLayout&,
                     ->default_conv3d_bwd_filter_algo()};
 }
 
+std::vector<Convolution3DBackwardFilter::Algorithm*>
+Convolution3DBackwardFilterImpl::get_all_algorithms_safe(const TensorLayout&,
+                                                    const TensorLayout&,
+                                                    const TensorLayout&) {
+    return {static_cast<HandleImpl*>(handle())
+                    ->default_conv3d_bwd_filter_algo()};
+}
+
 Convolution3DBackwardFilter::Algorithm*
 Convolution3DBackwardFilterImpl::get_algorithm_heuristic(
         const TensorLayout& /* src */, const TensorLayout& /* diff */,

dnn/src/naive/convolution3d/opr_impl.h

@@ -22,6 +22,9 @@ public:
     std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& src, const TensorLayout& filter,
             const TensorLayout& dst) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& src, const TensorLayout& filter,
+            const TensorLayout& dst) override;
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& src, const TensorLayout& filter,
             const TensorLayout& dst, size_t workspace_limit_in_bytes,
@@ -44,6 +47,9 @@ public:
     std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& filter, const TensorLayout& diff,
             const TensorLayout& grad) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& filter, const TensorLayout& diff,
+            const TensorLayout& grad) override;
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& filter, const TensorLayout& diff,
             const TensorLayout& grad, size_t workspace_limit_in_bytes,
@@ -66,6 +72,9 @@ public:
     std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& src, const TensorLayout& diff,
             const TensorLayout& grad) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& src, const TensorLayout& diff,
+            const TensorLayout& grad) override;
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& src, const TensorLayout& diff,
             const TensorLayout& grad, size_t workspace_limit_in_bytes,

dnn/src/naive/deformable_conv/opr_impl.h

@@ -25,6 +25,12 @@ public:
             const TensorLayout& /* dst */) override {
         return std::vector<Algorithm*>();
     };
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& /* im */, const TensorLayout& /* filter */,
+            const TensorLayout& /* offset */, const TensorLayout& /* mask */,
+            const TensorLayout& /* dst */) override {
+        return std::vector<Algorithm*>();
+    };
 
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& /* src */, const TensorLayout& /* filter */,
@@ -67,6 +73,13 @@ public:
             const TensorLayout& /* filter_grad */) override {
         return std::vector<Algorithm*>();
     };
+    
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& /* im */, const TensorLayout& /* offset */,
+            const TensorLayout& /* mask */, const TensorLayout& /* out_grad */,
+            const TensorLayout& /* filter_grad */) override {
+        return std::vector<Algorithm*>();
+    };
 
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& /* im */, const TensorLayout& /* offset */,
@@ -112,6 +125,16 @@ public:
         return std::vector<Algorithm*>();
     };
 
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& /* im */, const TensorLayout& /* filter */,
+            const TensorLayout& /* offset */, const TensorLayout& /* mask */,
+            const TensorLayout& /* out_grad */,
+            const TensorLayout& /* im_grad */,
+            const TensorLayout& /* offset_grad */,
+            const TensorLayout& /* mask_grad */) override {
+        return std::vector<Algorithm*>();
+    };
+
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& /* im */, const TensorLayout& /* filter */,
             const TensorLayout& /* offset */, const TensorLayout& /* mask */,

dnn/src/naive/local_share/opr_impl.cpp

@@ -159,6 +159,13 @@ LocalShareForwardImpl::get_all_algorithms(const TensorLayout&,
     return {static_cast<HandleImpl*>(handle())->default_local_share_fwd_algo()};
 }
 
+std::vector<LocalShareForward::Algorithm*>
+LocalShareForwardImpl::get_all_algorithms_safe(const TensorLayout&,
+                                          const TensorLayout&,
+                                          const TensorLayout&) {
+    return {static_cast<HandleImpl*>(handle())->default_local_share_fwd_algo()};
+}
+
 LocalShareForward::Algorithm* LocalShareForwardImpl::get_algorithm_heuristic(
         const TensorLayout& /* src */, const TensorLayout& /* diff */,
         const TensorLayout& /* grad */, size_t /* workspace_limit_in_bytes */,
@@ -187,6 +194,14 @@ LocalShareBackwardDataImpl::get_all_algorithms(const TensorLayout&,
                     ->default_local_share_bwd_data_algo()};
 }
 
+std::vector<LocalShareBackwardData::Algorithm*>
+LocalShareBackwardDataImpl::get_all_algorithms_safe(const TensorLayout&,
+                                               const TensorLayout&,
+                                               const TensorLayout&) {
+    return {static_cast<HandleImpl*>(handle())
+                    ->default_local_share_bwd_data_algo()};
+}
+
 LocalShareBackwardData::Algorithm*
 LocalShareBackwardDataImpl::get_algorithm_heuristic(
         const TensorLayout& /* filter */, const TensorLayout& /* diff */,
@@ -216,6 +231,14 @@ LocalShareBackwardFilterImpl::get_all_algorithms(const TensorLayout&,
                     ->default_local_share_bwd_filter_algo()};
 }
 
+std::vector<LocalShareBackwardFilter::Algorithm*>
+LocalShareBackwardFilterImpl::get_all_algorithms_safe(const TensorLayout&,
+                                                 const TensorLayout&,
+                                                 const TensorLayout&) {
+    return {static_cast<HandleImpl*>(handle())
+                    ->default_local_share_bwd_filter_algo()};
+}
+
 LocalShareBackwardFilter::Algorithm*
 LocalShareBackwardFilterImpl::get_algorithm_heuristic(
         const TensorLayout& /* src */, const TensorLayout& /* diff */,

dnn/src/naive/local_share/opr_impl.h

@@ -30,6 +30,10 @@ public:
             const TensorLayout& /*src*/, const TensorLayout& /*filter*/,
             const TensorLayout& /*dst*/) override;
 
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& /*src*/, const TensorLayout& /*filter*/,
+            const TensorLayout& /*dst*/) override;
+
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& /*src*/, const TensorLayout& /*filter*/,
             const TensorLayout& /*dst*/, size_t /*workspace_limit_in_bytes*/,
@@ -55,6 +59,10 @@ public:
             const TensorLayout& /*filter*/, const TensorLayout& /*diff*/,
             const TensorLayout& /*grad*/) override;
 
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& /*filter*/, const TensorLayout& /*diff*/,
+            const TensorLayout& /*grad*/) override;
+
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& /*filter*/, const TensorLayout& /*diff*/,
             const TensorLayout& /*grad*/, size_t /*workspace_limit_in_bytes*/,
@@ -75,11 +83,14 @@ public:
                                   const TensorLayout&) override {
         return 0;
     }
-
     std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& /*src*/, const TensorLayout& /*diff*/,
             const TensorLayout& /*grad*/) override;
 
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& /*src*/, const TensorLayout& /*diff*/,
+            const TensorLayout& /*grad*/) override;
+
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& /*src*/, const TensorLayout& /*diff*/,
             const TensorLayout& /*grad*/, size_t /*workspace_limit_in_bytes*/,

dnn/src/naive/matrix_mul/opr_impl.cpp

@@ -88,6 +88,13 @@ MatrixMulForwardImpl::get_all_algorithms(const TensorLayout& /*A*/,
     return {static_cast<HandleImpl*>(handle())->default_matmul_fwd_algo()};
 }
 
+std::vector<MatrixMulForward::Algorithm*>
+MatrixMulForwardImpl::get_all_algorithms_safe(const TensorLayout& /*A*/,
+                                         const TensorLayout& /*B*/,
+                                         const TensorLayout& /*C*/)  {
+    return {static_cast<HandleImpl*>(handle())->default_matmul_fwd_algo()};
+}
+
 MatrixMulForward::Algorithm* MatrixMulForwardImpl::get_algorithm_heuristic(
         const TensorLayout& /*A*/, const TensorLayout& /*B*/,
         const TensorLayout& /*C*/, size_t /*workspace_limit_in_bytes*/,

dnn/src/naive/matrix_mul/opr_impl.h

@@ -29,6 +29,10 @@ public:
             const TensorLayout& /*A*/, const TensorLayout& /*B*/,
             const TensorLayout& /*C*/) override;
 
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& /*A*/, const TensorLayout& /*B*/,
+            const TensorLayout& /*C*/) override;
+
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& /*A*/, const TensorLayout& /*B*/,
             const TensorLayout& /*C*/, size_t /*workspace_limit_in_bytes*/,

dnn/src/naive/pooling/opr_impl.cpp

@@ -603,6 +603,10 @@ std::vector<Algorithm*> PoolingForwardImpl::get_all_algorithms(
         const TensorLayout&, const TensorLayout&) {
     return {static_cast<HandleImpl*>(handle())->default_pooling_fwd_algo()};
 }
+std::vector<Algorithm*> PoolingForwardImpl::get_all_algorithms_safe(
+        const TensorLayout&, const TensorLayout&) {
+    return {static_cast<HandleImpl*>(handle())->default_pooling_fwd_algo()};
+}
 
 Algorithm* PoolingForwardImpl::get_algorithm_heuristic(
         const TensorLayout& /*src*/, const TensorLayout& /*dst*/,
@@ -626,6 +630,11 @@ std::vector<Algorithm*> PoolingBackwardImpl::get_all_algorithms(
         const TensorLayout& /*diff*/, const TensorLayout& /*grad*/) {
     return {static_cast<HandleImpl*>(handle())->default_pooling_bwd_algo()};
 }
+std::vector<Algorithm*> PoolingBackwardImpl::get_all_algorithms_safe(
+        const TensorLayout& /*src*/, const TensorLayout& /*dst*/,
+        const TensorLayout& /*diff*/, const TensorLayout& /*grad*/) {
+    return {static_cast<HandleImpl*>(handle())->default_pooling_bwd_algo()};
+}
 
 Algorithm* PoolingBackwardImpl::get_algorithm_heuristic(
         const TensorLayout& /*src*/, const TensorLayout& /*dst*/,

dnn/src/naive/pooling/opr_impl.h

@@ -35,6 +35,8 @@ class PoolingForwardImpl: public PoolingForward {
 
         std::vector<Algorithm*> get_all_algorithms(
                 const TensorLayout& src, const TensorLayout& dst) override;
+        std::vector<Algorithm*> get_all_algorithms_safe(
+                const TensorLayout& src, const TensorLayout& dst) override;
 
         Algorithm* get_algorithm_heuristic(
                 const TensorLayout& src, const TensorLayout& dst,
@@ -60,6 +62,9 @@ public:
     std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& src, const TensorLayout& dst,
             const TensorLayout& diff, const TensorLayout& grad) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& src, const TensorLayout& dst,
+            const TensorLayout& diff, const TensorLayout& grad) override;
 
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& src, const TensorLayout& dst,

dnn/src/rocm/batched_matrix_mul/opr_impl.cpp

@@ -29,6 +29,14 @@ BatchedMatrixMulForwardImpl::get_all_algorithms(const TensorLayout& A,
     return megdnn::get_all_algorithms<BatchedMatrixMulForwardImpl>(args);
 }
 
+std::vector<BatchedMatrixMulForwardImpl::Algorithm*>
+BatchedMatrixMulForwardImpl::get_all_algorithms_safe(const TensorLayout& A,
+                                                const TensorLayout& B,
+                                                const TensorLayout& C) {
+    AlgoBase::SizeArgs args{this, A, B, C};
+    return megdnn::get_all_algorithms_safe<BatchedMatrixMulForwardImpl>(args);
+}
+
 BatchedMatrixMulForwardImpl::Algorithm*
 BatchedMatrixMulForwardImpl::get_algorithm_heuristic(
         const TensorLayout& A, const TensorLayout& B, const TensorLayout& C,

dnn/src/rocm/batched_matrix_mul/opr_impl.h

@@ -35,6 +35,9 @@ private:
     std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& /*A*/, const TensorLayout& /*B*/,
             const TensorLayout& /*C*/) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& /*A*/, const TensorLayout& /*B*/,
+            const TensorLayout& /*C*/) override;
 
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& /*A*/, const TensorLayout& /*B*/,

dnn/src/rocm/convolution/opr_impl.cpp

@@ -109,6 +109,14 @@ ConvolutionForwardImpl::get_all_algorithms(const TensorLayout& src,
             {this, src, filter, dst});
 }
 
+std::vector<ConvolutionForwardImpl::Algorithm*>
+ConvolutionForwardImpl::get_all_algorithms_safe(const TensorLayout& src,
+                                           const TensorLayout& filter,
+                                           const TensorLayout& dst) {
+    return megdnn::get_all_algorithms_safe<ConvolutionForwardImpl>(
+            {this, src, filter, dst});
+}
+
 size_t ConvolutionForwardImpl::get_workspace_in_bytes(
         const TensorLayout& src, const TensorLayout& filter,
         const TensorLayout& dst, const PreprocessedFilter*) {
@@ -162,6 +170,14 @@ ConvolutionBackwardDataImpl::get_all_algorithms(const TensorLayout& filter,
             {this, filter, diff, grad});
 }
 
+std::vector<ConvolutionBackwardDataImpl::Algorithm*>
+ConvolutionBackwardDataImpl::get_all_algorithms_safe(const TensorLayout& filter,
+                                                const TensorLayout& diff,
+                                                const TensorLayout& grad) {
+    return megdnn::get_all_algorithms_safe<ConvolutionBackwardDataImpl>(
+            {this, filter, diff, grad});
+}
+
 ConvolutionBackwardDataImpl::Algorithm*
 ConvolutionBackwardDataImpl::get_algorithm_heuristic(
         const TensorLayout& filter, const TensorLayout& diff,
@@ -243,6 +259,14 @@ ConvolutionBackwardFilterImpl::get_all_algorithms(const TensorLayout& src,
             {this, src, diff, grad});
 }
 
+std::vector<ConvolutionBackwardFilterImpl::Algorithm*>
+ConvolutionBackwardFilterImpl::get_all_algorithms_safe(const TensorLayout& src,
+                                                  const TensorLayout& diff,
+                                                  const TensorLayout& grad) {
+    return megdnn::get_all_algorithms_safe<ConvolutionBackwardFilterImpl>(
+            {this, src, diff, grad});
+}
+
 ConvolutionBackwardFilterImpl::Algorithm*
 ConvolutionBackwardFilterImpl::get_algorithm_heuristic(
         const TensorLayout& src, const TensorLayout& diff,

dnn/src/rocm/convolution/opr_impl.h

@@ -74,6 +74,9 @@ private:
     std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& src, const TensorLayout& filter,
             const TensorLayout& dst) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& src, const TensorLayout& filter,
+            const TensorLayout& dst) override;
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& src, const TensorLayout& filter,
             const TensorLayout& dst, size_t workspace_limit_in_bytes,
@@ -123,6 +126,9 @@ private:
     std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& filter, const TensorLayout& diff,
             const TensorLayout& grad) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& filter, const TensorLayout& diff,
+            const TensorLayout& grad) override;
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& filter, const TensorLayout& diff,
             const TensorLayout& grad, size_t workspace_limit_in_bytes,
@@ -172,6 +178,9 @@ private:
     std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& src, const TensorLayout& diff,
             const TensorLayout& grad) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& src, const TensorLayout& diff,
+            const TensorLayout& grad) override;
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& src, const TensorLayout& diff,
             const TensorLayout& grad, size_t workspace_limit_in_bytes,

dnn/src/rocm/matrix_mul/opr_impl.cpp

@@ -27,6 +27,14 @@ MatrixMulForwardImpl::get_all_algorithms(const TensorLayout& A,
     return megdnn::get_all_algorithms<MatrixMulForwardImpl>(args);
 }
 
+std::vector<MatrixMulForwardImpl::Algorithm*>
+MatrixMulForwardImpl::get_all_algorithms_safe(const TensorLayout& A,
+                                         const TensorLayout& B,
+                                         const TensorLayout& C) {
+    AlgoBase::SizeArgs args{this, A, B, C};
+    return megdnn::get_all_algorithms_safe<MatrixMulForwardImpl>(args);
+}
+
 MatrixMulForwardImpl::Algorithm* MatrixMulForwardImpl::get_algorithm_heuristic(
         const TensorLayout& A, const TensorLayout& B, const TensorLayout& C,
         size_t workspace_limit_in_bytes, const AlgoAttribute& positive_attr,

dnn/src/rocm/matrix_mul/opr_impl.h

@@ -36,6 +36,10 @@ private:
             const TensorLayout& /*A*/, const TensorLayout& /*B*/,
             const TensorLayout& /*C*/) override;
 
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& /*A*/, const TensorLayout& /*B*/,
+            const TensorLayout& /*C*/) override;
+
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& /*A*/, const TensorLayout& /*B*/,
             const TensorLayout& /*C*/, size_t /*workspace_limit_in_bytes*/,

dnn/src/rocm/pooling/opr_impl.cpp

@@ -25,12 +25,16 @@ size_t PoolingForwardImpl::get_workspace_in_bytes(const TensorLayout& src,
 const char* PoolingForwardImpl::get_algorithm_set_name() const {
     return "ROCM_POOLING_FORWARD";
 }
-
 std::vector<PoolingForwardImpl::Algorithm*>
 PoolingForwardImpl::get_all_algorithms(const TensorLayout& src,
                                        const TensorLayout& dst) {
     return megdnn::get_all_algorithms<PoolingForwardImpl>({this, src, dst});
 }
+std::vector<PoolingForwardImpl::Algorithm*>
+PoolingForwardImpl::get_all_algorithms_safe(const TensorLayout& src,
+                                       const TensorLayout& dst) {
+    return megdnn::get_all_algorithms_safe<PoolingForwardImpl>({this, src, dst});
+}
 
 PoolingForwardImpl::Algorithm* PoolingForwardImpl::get_algorithm_heuristic(
         const TensorLayout& src, const TensorLayout& dst,
@@ -82,6 +86,13 @@ std::vector<Algorithm*> PoolingBackwardImpl::get_all_algorithms(
             {this, src, dst, diff, grad});
 }
 
+std::vector<Algorithm*> PoolingBackwardImpl::get_all_algorithms_safe(
+        const TensorLayout& src, const TensorLayout& dst,
+        const TensorLayout& diff, const TensorLayout& grad) {
+    return megdnn::get_all_algorithms_safe<PoolingBackwardImpl>(
+            {this, src, dst, diff, grad});
+}
+
 Algorithm* PoolingBackwardImpl::get_algorithm_heuristic(
         const TensorLayout& src, const TensorLayout& dst,
         const TensorLayout& diff, const TensorLayout& grad,

dnn/src/rocm/pooling/opr_impl.h

@@ -46,6 +46,8 @@ class PoolingForwardImpl final: public PoolingForward {
     protected:
         std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& src, const TensorLayout& dst) override;
+        std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& src, const TensorLayout& dst) override;
         Algorithm* get_algorithm_heuristic(
                 const TensorLayout& src, const TensorLayout& dst,
                 size_t workspace_limit_in_bytes, const AlgoAttribute& positive_attr,
@@ -93,6 +95,9 @@ class PoolingBackwardImpl final: public PoolingBackward {
         std::vector<Algorithm*> get_all_algorithms(
                 const TensorLayout& src, const TensorLayout& dst,
                 const TensorLayout& diff, const TensorLayout& grad) override;
+        std::vector<Algorithm*> get_all_algorithms_safe(
+                const TensorLayout& src, const TensorLayout& dst,
+                const TensorLayout& diff, const TensorLayout& grad) override;
         Algorithm* get_algorithm_heuristic(
                 const TensorLayout& src, const TensorLayout& dst,
                 const TensorLayout& diff, const TensorLayout& grad,

dnn/src/x86/pooling/opr_impl.cpp

@@ -74,11 +74,14 @@ size_t PoolingImpl::get_workspace_in_bytes(const TensorLayout& src,
         return fallback_worksapce;
     }
 }
-
 std::vector<Algorithm*> PoolingImpl::get_all_algorithms(
         const TensorLayout& src, const TensorLayout& dst) {
     return megdnn::get_all_algorithms<PoolingImpl>({this, src, dst});
 }
+std::vector<Algorithm*> PoolingImpl::get_all_algorithms_safe(
+        const TensorLayout& src, const TensorLayout& dst) {
+    return megdnn::get_all_algorithms_safe<PoolingImpl>({this, src, dst});
+}
 
 Algorithm* PoolingImpl::get_algorithm_heuristic(
         const TensorLayout& src, const TensorLayout& dst,

dnn/src/x86/pooling/opr_impl.h

@@ -63,6 +63,8 @@ public:
 protected:
     std::vector<Algorithm*> get_all_algorithms(
             const TensorLayout& src, const TensorLayout& dst) override;
+    std::vector<Algorithm*> get_all_algorithms_safe(
+            const TensorLayout& src, const TensorLayout& dst) override;
     Algorithm* get_algorithm_heuristic(
             const TensorLayout& src, const TensorLayout& dst,
             size_t workspace_limit_in_bytes, const AlgoAttribute& positive_attr,

dnn/test/common/accuracy_shake_checker.h

@@ -164,7 +164,7 @@ public:
         }
         std::vector<Algorithm::Info::Desc> ret;
         megdnn_assert(layouts.size() == OprTrait<Opr>::arity);
-        auto vec = AlgoProxy<Opr, OprTrait<Opr>::arity>::get_all_algorithms_info(
+        auto vec = AlgoProxy<Opr, OprTrait<Opr>::arity>::get_all_algorithms_info_safe(
                      opr, layouts);
         for (auto algo_info : vec) {
             if (!(algo_info.attribute &

dnn/test/common/benchmarker.h

@@ -377,7 +377,7 @@ float algo_benchmark(Benchmarker<Opr, T>& benchmark, TensorLayoutArray layouts,
     auto opr = benchmark.opr();
     opr->param() = benchmark.param();
     proxy.deduce_layout(opr, layouts);
-    auto algos = OprAlgoProxy<Opr>::get_all_algorithms_info(opr, layouts);
+    auto algos = OprAlgoProxy<Opr>::get_all_algorithms_info_safe(opr, layouts);
     float min_used = std::numeric_limits<float>::max();
     bool execed = false;
     for (auto i : algos) {

dnn/test/common/checker.h

@@ -514,7 +514,7 @@ struct ExecutionPolicyAlgoName {
  * \brief a callable to check that given algorithm is used for heuristic
  * \param require_algo if its value is true, then requires
  *      get_algorithm_heuristic() to return the expected algo; otherwise the
- *      expected algo must exist in get_all_algorithms() and it would be set to
+ *      expected algo must exist in get_all_algorithms_safe() and it would be set to
  *      be used
  */
 template <class Opr, typename OprAlgoProxy = OprAlgoProxy<Opr>>
@@ -536,7 +536,7 @@ public:
         opr->param() =
                 Algorithm::deserialize_read_pod<typename Opr::Param>(param);
         for (auto algo_info :
-             AlgoProxy<Opr, OprTrait<Opr>::arity>::get_all_algorithms_info(
+             AlgoProxy<Opr, OprTrait<Opr>::arity>::get_all_algorithms_info_safe(
                      opr.get(), layouts)) {
             if (std::regex_match(
                         algo_info.desc.name,

dnn/test/common/convolution.cpp

@@ -695,7 +695,7 @@ Checker<Convolution> checker(handle);
         float scale = 1.0f / sqrt(fshp[channel_start] * FH * FW);
         UniformFloatRNG rng(scale, 2 * scale);
         checker.set_rng(0, &rng).set_rng(1, &rng);
-        for (auto algo : opr->get_all_algorithms_info(ily, fly, oly)) {
+        for (auto algo : opr->get_all_algorithms_info_safe(ily, fly, oly)) {
             used_algos.insert(algo.desc);
             opr->execution_policy().algo = algo.desc;
 
@@ -720,7 +720,7 @@ Checker<Convolution> checker(handle);
             opr->param() = param;
             std::string param_str;
             Algorithm::serialize_write_pod(opr->param(), param_str);
-            for (auto algo : opr->get_all_algorithms_info(fly, oly, ily)) {
+            for (auto algo : opr->get_all_algorithms_info_safe(fly, oly, ily)) {
                 used_algos_bwd_data.insert(algo.desc);
                 opr->execution_policy().algo = algo.desc;
                 construct_sub_execution_policy_heuristic<
@@ -747,7 +747,7 @@ Checker<Convolution> checker(handle);
             opr->param() = param;
             std::string param_str;
             Algorithm::serialize_write_pod(opr->param(), param_str);
-            for (auto algo : opr->get_all_algorithms_info(ily, oly, fly)) {
+            for (auto algo : opr->get_all_algorithms_info_safe(ily, oly, fly)) {
                 used_algos_bwd_flt.insert(algo.desc);
                 opr->execution_policy().algo = algo.desc;
                 construct_sub_execution_policy_heuristic<

dnn/test/common/opr_algo_proxy.h

@@ -25,9 +25,9 @@ struct AlgoProxy;
     template <typename Opr>                                                   \
     struct AlgoProxy<Opr, arity> {                                            \
         static std::vector<typename Opr::AlgorithmInfo>                       \
-        get_all_algorithms_info(Opr* opr, const TensorLayoutArray& layouts) { \
+        get_all_algorithms_info_safe(Opr* opr, const TensorLayoutArray& layouts) { \
             megdnn_assert(layouts.size() == arity);                           \
-            return opr->get_all_algorithms_info(LAYOUTS);                     \
+            return opr->get_all_algorithms_info_safe(LAYOUTS);                     \
         }                                                                     \
         static typename Opr::AlgorithmInfo get_algorithm_info_heuristic(      \
                 Opr* opr, const TensorLayoutArray& layouts) {                 \
@@ -80,9 +80,9 @@ DEF_ALGO_PROXY(8);
     template <>                                                                \
     struct AlgoProxy<Opr, arity> {                                             \
         static std::vector<typename Opr::AlgorithmInfo>                        \
-        get_all_algorithms_info(Opr* opr, const TensorLayoutArray& layouts) {  \
+        get_all_algorithms_info_safe(Opr* opr, const TensorLayoutArray& layouts) {  \
             megdnn_assert(layouts.size() == arity);                            \
-            return opr->get_all_algorithms_info(LAYOUTS);                      \
+            return opr->get_all_algorithms_info_safe(LAYOUTS);                      \
         }                                                                      \
         static typename Opr::AlgorithmInfo get_algorithm_info_heuristic(       \
                 Opr* opr, const TensorLayoutArray& layouts) {                  \

dnn/test/common/opr_proxy.h

@@ -288,7 +288,7 @@ struct OprProxyProfilingBase
                 Algorithm::deserialize_read_pod<typename Opr::Param>(param);
 
         std::vector<Algorithm::SearchItem> ret;
-        for (auto algo_info : AlgoProxy<Opr, arity>::get_all_algorithms_info(
+        for (auto algo_info : AlgoProxy<Opr, arity>::get_all_algorithms_info_safe(
                      opr.get(), layouts)) {
             Algorithm* algo = opr->get_algorithm_from_desc(algo_info.desc);
             std::vector<Algorithm::SearchItem>&& sub_items =
@@ -367,7 +367,7 @@ struct OprProxyProfilingBase
             megdnn_log("Find best algo %s in cache", algo->name());
             return;
         }
-        for (auto algo : AlgoProxy<Opr, arity>::get_all_algorithms_info(
+        for (auto algo : AlgoProxy<Opr, arity>::get_all_algorithms_info_safe(
                      opr.get(), layouts)) {
             //! construct execution_policy
             opr->execution_policy().algo = algo.desc;
@@ -492,7 +492,7 @@ struct OprWeightPreprocessProxyImpl : public OprProxyProfilingBase<Opr> {
         if (Base::m_profiling && !Base::target_execution_policy.algo.valid()) {
             size_t min_time = std::numeric_limits<size_t>::max();
             for (auto algo :
-                 AlgoProxy<Opr, arity>::get_all_algorithms_info(opr, layouts)) {
+                 AlgoProxy<Opr, arity>::get_all_algorithms_info_safe(opr, layouts)) {
                 opr->execution_policy().algo = algo.desc;
 
                 auto preprocess_tensors =

dnn/test/cuda/cutlass_matmul.cpp

@@ -84,7 +84,7 @@ void test_multibatchsize(
         auto opr_reference = handle_cuda->create_operator<MatrixMulForward>();
         {
             opr_reference->execution_policy().algo.reset();
-            for (auto i : opr_reference->get_all_algorithms_info(
+            for (auto i : opr_reference->get_all_algorithms_info_safe(
                          A_tensor.layout(), B_tensor.layout(),
                          C_tensor.layout())) {
                 if (std::regex_match(
@@ -113,7 +113,7 @@ void test_multibatchsize(
                        {{}, {}, C_tensor_prime.tensornd_host()});
         {
             opr_reference->execution_policy().algo.reset();
-            for (auto i : opr_reference->get_all_algorithms_info(
+            for (auto i : opr_reference->get_all_algorithms_info_safe(
                          A_tensor_prime.layout(), B_tensor.layout(),
                          C_tensor_batch.layout())) {
                 if (std::regex_match(

src/core/test/graph/misc.cpp

@@ -1938,7 +1938,7 @@ typename megdnn::ExecutionPolicy try_find_any_weight_preprocess_algo(
             return {};
         }
     }
-    for (auto&& algo : dnn_op->get_all_algorithms_info(
+    for (auto&& algo : dnn_op->get_all_algorithms_info_safe(
             std::forward<Args>(args)...)) {
         dnn_op->execution_policy().algo = algo.desc;
         auto layouts = dnn_op->deduce_preprocessed_filter_layout(
@@ -1972,7 +1972,7 @@ typename megdnn::ExecutionPolicy try_find_any_bias_preprocess_algo(
             return {};
         }
     }
-    for (auto&& algo : dnn_op->get_all_algorithms_info(
+    for (auto&& algo : dnn_op->get_all_algorithms_info_safe(
             std::forward<Args>(args)...)) {
         dnn_op->execution_policy().algo = algo.desc;
         auto layouts = dnn_op->deduce_preprocessed_filter_layout(

src/opr/impl/search_policy/algo_chooser.cpp

@@ -805,7 +805,7 @@ std::vector<typename AlgoChooser<Opr>::ImplAlgo>
 AlgoChooser<Opr>::AlgoChooserHelper::get_all_candidates() const {
     MIDOUT_B(Opr, midout_iv(MGB_HASH_STR("get_all_candidates")))
     auto heu = choose_by_heuristic(m_execution_policy.strategy);
-    auto&& ret = APPLY(m_dnn_opr->get_all_algorithms_info(args...),
+    auto&& ret = APPLY(m_dnn_opr->get_all_algorithms_info_safe(args...),
                        m_fastrun_layouts);
     bool found = false;
     for (size_t i = 0; i < ret.size(); ++i) {

src/opr/test/dnn/convolution.cpp

@@ -2473,6 +2473,11 @@ public:
                  std::vector<AlgorithmInfo>(const TensorLayout& p0,
                                          const TensorLayout& p1,
                                          const TensorLayout& p2));
+
+    MOCK_METHOD3(get_all_algorithms_info_safe,
+                 std::vector<AlgorithmInfo>(const TensorLayout& p0,
+                                         const TensorLayout& p1,
+                                         const TensorLayout& p2));
     MOCK_METHOD6(get_algorithm_info_heuristic,
                  AlgorithmInfo(const TensorLayout& p0, const TensorLayout& p1,
                                const TensorLayout& p2,
@@ -2484,6 +2489,11 @@ public:
                  std::vector<Algorithm*>(const TensorLayout& p0,
                                          const TensorLayout& p1,
                                          const TensorLayout& p2));
+
+    MOCK_METHOD3(get_all_algorithms_safe,
+                 std::vector<Algorithm*>(const TensorLayout& p0,
+                                         const TensorLayout& p1,
+                                         const TensorLayout& p2));
     MOCK_METHOD6(get_algorithm_heuristic,
                  Algorithm*(const TensorLayout& p0, const TensorLayout& p1,
                             const TensorLayout& p2,