Restore deleted float tests

Author: runwangdl

.github/workflows/TestRunnerTiledSiracusaWithRedmule.yml

@@ -373,9 +373,6 @@ def __init__(self, name: str = '', size = 0):
         self._type: Type[Pointer] = PointerClass(VoidType)
         self.size = size
 
-        self.is_input: bool = False
-        self.is_output: bool = False
-
     def __eq__(self, other):
         ret = all([self.name == other.name, self.size == other.size])
         return ret

Deeploy/DeeployTypes.py

@@ -157,35 +157,4 @@ def hoistTransientBuffers(self, ctxt: NetworkContext,
     ref_${data_out}_${data_in} += ${ch_im_in} * ${dim_im_in_x} * ${dim_im_in_y};
     ref_${data_out}_${data_out} += ${ch_im_out} * ${dim_im_out_x} * ${dim_im_out_y};
 }
-""")
-
-reference2DIm2ColTemplate = PULP2DFloatConvIm2ColTemplate("""
-// 2D FP Conv HWC with Im2Col and ChannelOout parallelism (Name: ${nodeName}, Op: ${nodeOp})
-
-${data_in_type.typeName} ref_${data_out}_${data_in} = ${data_in};
-${data_out_type.typeName} ref_${data_out}_${data_out} = ${data_out};
-
-for (uint32_t n=0; n<${batch}; ++n) {   
-    PULP_Conv2d_Im2Col_fp${data_in_type.referencedType.typeWidth}_fp${weight_type.referencedType.typeWidth}_fp${data_out_type.referencedType.typeWidth}_HWC(
-        ref_${data_out}_${data_in},            
-        ${dim_im_in_y},                      
-        ${dim_im_in_x},                      
-        ${ch_im_in},                          
-        ${weight},               
-        ${ch_im_out},            
-        ${dim_kernel_y},                      
-        ${dim_kernel_x},                      
-        ${stride_y},                          
-        ${stride_x},                          
-        ref_${data_out}_${data_out},         
-        ${padding_y_top},                    
-        ${padding_y_bottom},                  
-        ${padding_x_left},                    
-        ${padding_x_right},                   
-        ${ctxtBuffer}             
-    );
-
-    ref_${data_out}_${data_in} += ${ch_im_in} * ${dim_im_in_x} * ${dim_im_in_y};
-    ref_${data_out}_${data_out} += ${ch_im_out} * ${dim_im_out_x} * ${dim_im_out_y};
-}
 """)

Deeploy/Targets/PULPOpen/Templates/FloatConvTemplate.py

@@ -29,6 +29,7 @@ def alignToContext(self, ctxt: NetworkContext,
     uint32_t compute_num = 1; //snrt_cluster_compute_core_num();
     int32_t ldI = compute_num * ${input_samples};
     int32_t batch_offset = ${seq_len} * ${input_samples};
+
     // JUNGVI: This implementation is broken and has memory leak.
     if (snrt_hartid() == 0){
         ${kernelName}(${data_in}, ${data_out}, ldI, batch_offset, batch_size, ${seq_len}, ${input_samples});

Deeploy/Targets/Snitch/Templates/FloatSoftmaxTemplate.py

@@ -354,7 +354,7 @@ def annotateMemoryLevel(self, ctxt: NetworkContext, tilingSolution: TilingSoluti
                         memoryConstraint.addrSpace = block.addrSpace
         return ctxt
 
-    def setupModel(self, ctxt: NetworkContext, schedule: Schedule, layerBinding: 'OrderedDict[str, ONNXLayer]',
+    def setupModel(self, ctxt: NetworkContext, schedule: Schedule, layerBinding: OrderedDict[str, ONNXLayer],
                    targetMemoryLevelMapping: TargetMemoryLevelMapping) -> NetworkContext:
 
         wrapSchedule: List[SubGraph] = []
@@ -561,7 +561,7 @@ def _setupHeuristics(self, tilerModel: TilerModel, ctxt: NetworkContext, schedul
 
     def _setupMemoryConstraints(
             self, tilerModel: TilerModel, ctxt: NetworkContext, schedule: List[SubGraph],
-            layerBinding: 'OrderedDict[str, ONNXLayer]',
+            layerBinding: OrderedDict[str, ONNXLayer],
             targetMemoryLevelMapping: TargetMemoryLevelMapping) -> Tuple[TilerModel, List[PatternMemoryConstraints]]:
 
         allMemoryConstraints = self._generateAllMemoryConstraints(tilerModel, ctxt, schedule, layerBinding,