add Integer Conv1D for PULPOpen (untiled) and corresponding test

Author: marchioa

Deeploy/Targets/PULPOpen/Bindings.py

@@ -278,11 +278,14 @@
                 FloatMaxPoolTemplate.referenceTemplate, ForkTransformer)
 ]
 
-PULPConv1DBinding = NodeBinding(
-    PULPConvChecker(
-        [PointerClass(int8_t), PointerClass(int8_t),
-         PointerClass(int32_t),
-         PointerClass(int32_t)], [PointerClass(int8_t)]), ConvTemplate.PULPConv1D_8_Template, ForkTransformer)
+PULPConv1DBindings = [
+    NodeBinding(
+        PULPConvChecker(
+            [PointerClass(_type), PointerClass(int8_t),
+            PointerClass(int32_t),
+            PointerClass(int32_t)], [PointerClass(_type)]), ConvTemplate.PULPConv1D_8_Template, ForkTransformer)
+        for _type in (int8_t, uint8_t)
+]
 
 PULPDWConv1DBinding = NodeBinding(
     PULPConvChecker(

Deeploy/Targets/PULPOpen/Platform.py

@@ -29,7 +29,7 @@
 from Deeploy.Targets.Generic.TopologyOptimizationPasses.Passes import DequantPatternPass, IntegerDivRequantMergePass, \
     MergeConstAddAndRequantPass, MergeTrueIntegerDivRequantShiftPass, QuantPatternPass, RQSSplitPass, \
     SkipEmptyConcatPass, SkipUnityRequantPass, iGELURequantMergePass, iHardswishRequantMergePass
-from Deeploy.Targets.PULPOpen.Bindings import BasicDequantBindings, BasicQuantBindings, PULPConv1DBinding, \
+from Deeploy.Targets.PULPOpen.Bindings import BasicDequantBindings, BasicQuantBindings, PULPConv1DBindings, \
     PULPDMASliceBindings, PULPDWConv1DBinding
 from Deeploy.Targets.PULPOpen.Layers import PULPRQSConvLayer, PULPRQSGEMMLayer
 from Deeploy.Targets.PULPOpen.Parsers import PULPConv1DParser, PULPConv2DParser, PULPDWConv1DParser, \
@@ -74,7 +74,7 @@
 RQIntegerDivMapper = NodeMapper(RQIntegerDivParser(), [BasicRQIntegerDivBinding])
 RQGELU_int8_Mapper = NodeMapper(RQSiGELUParser(), PULPiRQSGELUTilingReadyBindings)
 
-Conv1DMapper = NodeMapper(PULPConv1DParser(), [PULPConv1DBinding])
+Conv1DMapper = NodeMapper(PULPConv1DParser(), PULPConv1DBindings)
 DWConv1DMapper = NodeMapper(PULPDWConv1DParser(), [PULPDWConv1DBinding])
 FPConv2DMapper = NodeMapper(PULPFPConv2DParser(), PULPConv2DTilingReadyBindings)
 Conv2DMapper = NodeMapper(PULPConv2DParser(), PULPRQSConv2DTilingReadyBindings)

Deeploy/Targets/PULPOpen/Templates/ConvTemplate.py

@@ -88,7 +88,7 @@ def alignToContext(self, ctxt: NetworkContext,
     def computeTransientBuffersSize(
             ctxt: NetworkContext,
             operatorRepresentation: OperatorRepresentation) -> List[Tuple[str, Union[int, IntVar]]]:
-        im2col_dim = 8 * (1 * (1 + operatorRepresentation['pads'][0]) + operatorRepresentation['dim_kernel_y'])
+        im2col_dim = 8 * 2 * operatorRepresentation['ch_im_in'] * operatorRepresentation['dim_kernel_y']
         im2col_name = operatorRepresentation['nodeName'] + "_buffer"
         return [(im2col_name, im2col_dim)]
 
@@ -175,16 +175,7 @@ def __init__(self, templateStr):
     signatureString += '_u8'
 %>
 
-<%
-operatorString = ''
-if dim_kernel_x == 1 and dim_kernel_y == 1:
-    operatorString = 'pointwise'
-else:
-    operatorString = 'conv'
-operatorString = 'conv'
-%>
-
-pulp_nn_${operatorString}${signatureString}(${data_in}, ${ctxtBuffer}, NULL, ${data_out}, ${weight}, ${mul}, ${add}, 1, ${log2D}, 1, ${dim_im_in_y}, ${ch_im_in}, 1, ${dim_im_out_y}, ${ch_im_out}, 1, ${dim_kernel_y}, ${padding_y_top}, ${padding_y_bottom}, 0, 0, 1, ${stride_y}, 1, 1);
+pulp_nn_conv${signatureString}(${data_in}, ${ctxtBuffer}, NULL, ${data_out}, ${weight}, ${mul}, ${add}, 1, ${log2D}, 1, ${dim_im_in_y}, ${ch_im_in}, 1, ${dim_im_out_y}, ${ch_im_out}, 1, ${dim_kernel_y}, ${padding_y_top}, ${padding_y_bottom}, 0, 0, 1, ${stride_y}, 1, 1);
 """)
 
 PULPDWConv1D_8_Template = PULP1DDWConvTemplate("""