Pass compat of conv_transpose_bias_mkldnn_fuse_pass (#33708)

Author: TeslaZhao

paddle/fluid/framework/ir/mkldnn/conv_bias_mkldnn_fuse_pass.cc

@@ -25,6 +25,102 @@ namespace paddle {
 namespace framework {
 namespace ir {
 
+ConvBiasFusePass::ConvBiasFusePass() {
+  AddOpCompat(OpCompat("conv2d"))
+      .AddInput("Input")
+      .IsTensor()
+      .End()
+      .AddInput("Filter")
+      .IsTensor()
+      .End()
+      .AddInput("Bias")
+      .IsTensor()
+      .IsOptional()
+      .End()
+      .AddOutput("Output")
+      .IsTensor()
+      .End()
+      .AddAttr("strides")
+      .End()
+      .AddAttr("paddings")
+      .End()
+      .AddAttr("padding_algorithm")
+      .IsStringIn({"EXPLICIT", "SAME", "VALID"})
+      .End()
+      .AddAttr("groups")
+      .IsNumGE(1)
+      .End()
+      .AddAttr("dilations")
+      .End()
+      .AddAttr("data_format")
+      .IsStringIn({"NCHW", "NHWC"})
+      .End();
+
+  AddOpCompat(OpCompat("elementwise_add"))
+      .AddInput("X")
+      .IsTensor()
+      .End()
+      .AddInput("Y")
+      .IsTensor()
+      .End()
+      .AddOutput("Out")
+      .IsTensor()
+      .End()
+      .AddAttr("axis")
+      .IsNumEQ(-1)
+      .End();
+}
+
+Conv2DTransposeBiasFusePass::Conv2DTransposeBiasFusePass() {
+  AddOpCompat(OpCompat("conv2d_transpose"))
+      .AddInput("Input")
+      .IsTensor()
+      .End()
+      .AddInput("Filter")
+      .IsTensor()
+      .End()
+      .AddInput("Bias")
+      .IsTensor()
+      .End()
+      .AddOutput("Output")
+      .IsTensor()
+      .End()
+      .AddAttr("output_padding")
+      .End()
+      .AddAttr("output_size")
+      .IsNumGE(1)
+      .End()
+      .AddAttr("groups")
+      .IsNumGE(1)
+      .End()
+      .AddAttr("dilations")
+      .End()
+      .AddAttr("strides")
+      .End()
+      .AddAttr("paddings")
+      .End()
+      .AddAttr("padding_algorithm")
+      .IsStringIn({"EXPLICIT", "SAME", "VALID"})
+      .End()
+      .AddAttr("data_format")
+      .IsStringIn({"NCHW", "NHWC"})
+      .End();
+
+  AddOpCompat(OpCompat("elementwise_add"))
+      .AddInput("X")
+      .IsTensor()
+      .End()
+      .AddInput("Y")
+      .IsTensor()
+      .End()
+      .AddOutput("Out")
+      .IsTensor()
+      .End()
+      .AddAttr("axis")
+      .IsNumEQ(-1)
+      .End();
+}
+
 template <typename BinaryOperation>
 LoDTensor tensor_apply_eltwise(const LoDTensor& vec_a, const LoDTensor& vec_b,
                                BinaryOperation f) {
@@ -80,6 +176,12 @@ void ConvBiasFusePass::ApplyImpl(ir::Graph* graph) const {
         subgraph.count(conv_input), 0,
         platform::errors::NotFound("Detector did not find conv input."));
 
+    // check compat
+    if (!IsCompat(subgraph, g)) {
+      VLOG(3) << "Pass in op compat failed.";
+      return;
+    }
+
     // check if fuse can be done and if MKL-DNN should be used
     FuseOptions fuse_option = FindFuseOption(*conv, *eltwise);
     if (fuse_option == DO_NOT_FUSE || fuse_option == FUSE_NATIVE) {

paddle/fluid/framework/ir/mkldnn/conv_bias_mkldnn_fuse_pass.h

@@ -29,6 +29,7 @@ class Graph;
 
 class ConvBiasFusePass : public FusePassBase {
  public:
+  ConvBiasFusePass();
   virtual ~ConvBiasFusePass() {}
   virtual std::string type() const { return "conv2d"; }
 
@@ -41,6 +42,7 @@ class ConvBiasFusePass : public FusePassBase {
 */
 class Conv2DTransposeBiasFusePass : public ConvBiasFusePass {
  public:
+  Conv2DTransposeBiasFusePass();
   std::string type() const override { return "conv2d_transpose"; }
 };
 

paddle/fluid/framework/ir/mkldnn/conv_bias_mkldnn_fuse_pass_tester.cc

@@ -31,8 +31,19 @@ void SetOp(ProgramDesc* prog, const std::string& type, const std::string& name,
   auto* op = prog->MutableBlock(0)->AppendOp();
   op->SetType(type);
   if (type == "conv2d") {
+    const std::vector<int> strides({1, 1});
+    const std::vector<int> paddings({0, 0});
+    const std::vector<int> dilations({1, 1});
     op->SetAttr("use_mkldnn", true);
     op->SetAttr("name", name);
+    op->SetAttr("strides", strides);
+    op->SetAttr("groups", 1);
+    op->SetAttr("paddings", paddings);
+    op->SetAttr("padding_algorithm", std::string("EXPLICIT"));
+    op->SetAttr("dilations", dilations);
+    op->SetAttr("data_format", std::string("NCHW"));
+
+    op->SetOutput("Output", outputs);
     op->SetInput("Input", {inputs[0]});
     op->SetInput("Filter", {inputs[1]});
     if (inputs.size() > 2)
@@ -41,10 +52,11 @@ void SetOp(ProgramDesc* prog, const std::string& type, const std::string& name,
       op->SetInput("Bias", {});
   } else if (type == "elementwise_add") {
     op->SetAttr("use_mkldnn", true);
+    op->SetAttr("axis", -1);
     op->SetInput("X", {inputs[0]});
     op->SetInput("Y", {inputs[1]});
+    op->SetOutput("Out", outputs);
   }
-  op->SetOutput("Out", outputs);
   op->SetAttr(OpProtoAndCheckerMaker::OpRoleAttrName(),
               static_cast<int>(OpRole::kForward));
 }