finally fast googlenet with correct latency artifacts for fair comparison

src/PIM/Dialect/Spatial/Spatial.td

@@ -307,6 +307,21 @@ def SpatMaxPool2DPlanOp : SpatOp<"max_pool2d_plan", []> {
   let hasVerifier = 1;
 }
 
+def SpatGlobalAveragePoolPlanOp : SpatOp<"global_average_pool_plan", []> {
+  let summary = "Layout-aware NCHW global average-pool planning op";
+
+  let arguments = (ins
+    SpatTensor:$input,
+    StrAttr:$logicalLayout
+  );
+
+  let results = (outs
+    SpatTensor:$output
+  );
+
+  let hasVerifier = 1;
+}
+
 def SpatBiasAddPlanOp : SpatOp<"bias_add_plan", []> {
   let summary = "Layout-aware Conv-style bias add planning op";
 
@@ -323,6 +338,38 @@ def SpatBiasAddPlanOp : SpatOp<"bias_add_plan", []> {
   let hasVerifier = 1;
 }
 
+def SpatAddPlanOp : SpatOp<"add_plan", []> {
+  let summary = "Layout-aware elementwise add planning op";
+
+  let arguments = (ins
+    SpatTensor:$lhs,
+    SpatTensor:$rhs,
+    StrAttr:$logicalLayout
+  );
+
+  let results = (outs
+    SpatTensor:$output
+  );
+
+  let hasVerifier = 1;
+}
+
+def SpatConcatPlanOp : SpatOp<"concat_plan", []> {
+  let summary = "Layout-aware tensor concatenation planning op";
+
+  let arguments = (ins
+    Variadic<SpatTensor>:$inputs,
+    I64Attr:$axis,
+    StrAttr:$logicalLayout
+  );
+
+  let results = (outs
+    SpatTensor:$output
+  );
+
+  let hasVerifier = 1;
+}
+
 def SpatBlueprintOp : SpatOp<"blueprint", []> {
   let summary = "Blueprint for assembling logical tensors from published fragments";