Removed unnecessary new ConvTranspose type checker. Added the generic Autoencoder1D test to the CI Pipeline

Author: diaconuccalin

.github/workflows/ci-platform-generic.yml

@@ -96,3 +96,4 @@ jobs:
         CCT/CCT_1_16_16_8
         CCT/CCT_2_32_32_128_Opset20
         testFloatDemoTinyViT
+        Autoencoder1D

Deeploy/Targets/Generic/Bindings.py

@@ -21,10 +21,10 @@
     RQIntegerDivTemplate, RQSiGELUTemplate, SliceTemplate, TransposeTemplate, iGELUTemplate, iLayernormTemplate, \
     iRMSNormTemplate, iSoftmaxTemplate
 from Deeploy.Targets.Generic.TypeCheckers import AddChecker, BatchNormChecker, ConcatChecker, ConvChecker, \
-    ConvTransposeChecker, DebugPrintChecker, DequantChecker, DivChecker, DummyChecker, GatherChecker, GELUChecker, \
-    GEMMChecker, LayerNormChecker, MatMulChecker, MaxPoolChecker, MulChecker, PadChecker, QuantChecker, \
-    ReduceMeanChecker, ReduceSumChecker, ReluChecker, RequantShiftChecker, ReshapeChecker, RQIntegerDivChecker, \
-    SliceChecker, SoftmaxChecker, TransposeChecker
+    DebugPrintChecker, DequantChecker, DivChecker, DummyChecker, GatherChecker, GELUChecker, GEMMChecker, \
+    LayerNormChecker, MatMulChecker, MaxPoolChecker, MulChecker, PadChecker, QuantChecker, ReduceMeanChecker, \
+    ReduceSumChecker, ReluChecker, RequantShiftChecker, ReshapeChecker, RQIntegerDivChecker, SliceChecker, \
+    SoftmaxChecker, TransposeChecker
 
 BasicTransformer = CodeTransformation([ArgumentStructGeneration(), MemoryManagementGeneration(), FutureGeneration()])
 
@@ -296,14 +296,14 @@
 
 BasicConvTransposeBindings = [
     NodeBinding(
-        ConvTransposeChecker(
+        ConvChecker(
             [PointerClass(type), PointerClass(type), PointerClass(type)],  # input, weight, bias
             [PointerClass(type)]),
         ConvTransposeTemplate.referenceTemplate,
         BasicTransformer) for type in FloatDataTypes
 ] + [
     NodeBinding(
-        ConvTransposeChecker(
+        ConvChecker(
             [PointerClass(type), PointerClass(type)],  # input, weight
             [PointerClass(type)]),
         ConvTransposeTemplate.referenceTemplate,

Deeploy/Targets/Generic/TypeCheckers.py

@@ -610,23 +610,3 @@ def _inferNumLevels(self, inputs: List[VariableBuffer],
     def _inferSignedness(self, inputs: List[VariableBuffer],
                          operatorRepresentation: OperatorRepresentation) -> List[bool]:
         return [True]
-
-
-class ConvTransposeChecker(SignPropTypeChecker):
-
-    def __init__(self, input_types: Sequence[Type[Pointer]], output_types: Sequence[Type[Pointer]]):
-        super().__init__(input_types, output_types)
-
-    def _inferNumLevels(self, inputs: List[VariableBuffer],
-                        operatorRepresentation: OperatorRepresentation) -> List[int]:
-        # Like ConvChecker: n_levels = kernel_size * weight_levels * ch_in * 2^bit_input
-        weight = inputs[1]
-        return [
-            np.prod(operatorRepresentation['kernel_shape']) * weight.nLevels * weight.shape[1] *  # ch_im_in
-            2**(self.input_types[0].referencedType.typeWidth)
-        ]
-
-    def _inferSignedness(self, inputs: List[VariableBuffer],
-                         operatorRepresentation: OperatorRepresentation) -> List[bool]:
-        # Output is signed if input is signed
-        return [inputs[0]._signed]