pnnx pytorch 1.13 (#4314)

.github/workflows/pnnx.yml

@@ -41,6 +41,9 @@ jobs:
           - torch-version: 1.12.0
             torchvision-version: 0.13.0
 
+          - torch-version: 1.13.0
+            torchvision-version: 0.14.0
+
     steps:
     - uses: actions/checkout@v3
       with:

tools/pnnx/src/pass_level2/F_upsample_nearest.cpp

@@ -63,6 +63,29 @@ pnnx.Output             output      1 0 out
 
 REGISTER_GLOBAL_PNNX_GRAPH_REWRITER_PASS(F_upsample_nearest_1, 10)
 
+class F_upsample_nearest_1_1 : public GraphRewriterPass
+{
+public:
+    const char* match_pattern_graph() const
+    {
+        return R"PNNXIR(7767517
+5 4
+pnnx.Input              input_0     0 1 input
+pnnx.Input              input_1     0 1 size
+prim::Constant          op_0        0 1 scale_factor value=None
+aten::upsample_nearest2d op_1       3 1 input size scale_factor out
+pnnx.Output             output      1 0 out
+)PNNXIR";
+    }
+
+    const char* type_str() const
+    {
+        return "F.upsample_nearest";
+    }
+};
+
+REGISTER_GLOBAL_PNNX_GRAPH_REWRITER_PASS(F_upsample_nearest_1_1, 10)
+
 class F_upsample_nearest_2 : public GraphRewriterPass
 {
 public:

tools/pnnx/src/pass_level2/torch_einsum.cpp

@@ -38,4 +38,27 @@ pnnx.Output             output      1 0 out
 
 REGISTER_GLOBAL_PNNX_GRAPH_REWRITER_PASS(torch_einsum, 20)
 
+class torch_einsum_1 : public GraphRewriterPass
+{
+public:
+    const char* match_pattern_graph() const
+    {
+        return R"PNNXIR(7767517
+5 4
+pnnx.Input              input_0     0 1 equation
+pnnx.Input              input_1     0 1 operands
+prim::Constant          op_0        0 1 path value=None
+aten::einsum            op_1        3 1 equation operands path out
+pnnx.Output             output      1 0 out
+)PNNXIR";
+    }
+
+    const char* type_str() const
+    {
+        return "torch.einsum";
+    }
+};
+
+REGISTER_GLOBAL_PNNX_GRAPH_REWRITER_PASS(torch_einsum_1, 20)
+
 } // namespace pnnx