Replace serialization/ and verif/ with MLPlatform's serialization_lib submodule

- Remove Usage and Format
- Run black on verif/*.py scripts

Signed-off-by: Kevin Cheng <kevin.cheng@arm.com>
Change-Id: Ie81515891eb0039540f614894f4b6b0e0e78ba74

1 files changed, 0 insertions, 63 deletions

diff --git a/reference_model/src/ops/tensor_ops.cc b/reference_model/src/ops/tensor_ops.cc
index d6cd1cd..b8c7ade 100644
--- a/reference_model/src/ops/tensor_ops.cc
+++ b/reference_model/src/ops/tensor_ops.cc
@@ -103,12 +103,6 @@ int OpAvgPool2d<Dtype>::checkTensorAttributes()
     in  = dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[0]);
     out = dynamic_cast<TosaReference::TensorTemplate<TOut>*>(outputs[0]);
 
-    if (!in->hasFormat(Format_NHWC))
-    {
-        printNodeValidationError("OpAvgPool2d: unsupported tensor format");
-        return 1;
-    }
-
     if (attribute->padding().size() != 4)
     {
         printNodeValidationError("OpAvgPool2d: illegal size for attribute padding");
@@ -321,28 +315,11 @@ int OpConv2d<InDtype, WeightDtype>::checkTensorAttributes()
         printNodeValidationError("OpConv2d: bias tensor must be rank 1");
     }
 
-    if (inputs[1]->getIsConst() == 0)
-    {
-        printNodeValidationError("OpConv2d: weight tensor is not const typed");
-    }
-
     input  = dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[0]);
     weight = dynamic_cast<TosaReference::TensorTemplate<TWeight>*>(inputs[1]);
     bias   = dynamic_cast<TosaReference::TensorTemplate<TBias>*>(inputs[2]);
     output = dynamic_cast<TosaReference::TensorTemplate<TAcc>*>(outputs[0]);
 
-    if (!input->hasFormat(Format_NHWC))
-    {
-        printNodeValidationError("OpConv2d: unsupported input tensor format");
-        return 1;
-    }
-
-    if (!weight->hasFormat(Format_OHWI))
-    {
-        printNodeValidationError("OpConv2d: unsupported weight tensor format");
-        return 1;
-    }
-
     if (attribute->padding().size() != 4)
     {
         printNodeValidationError("OpConv2d: illegal size for attribute padding");
@@ -530,28 +507,11 @@ int OpDepthwiseConv2d<InDtype, WeightDtype>::checkTensorAttributes()
         printNodeValidationError("OpDepthwiseConv2d: bias tensor must be rank 1");
     }
 
-    if (inputs[1]->getIsConst() == 0)
-    {
-        printNodeValidationError("OpDepthwiseConv2d: weight tensor is not const typed");
-    }
-
     input  = dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[0]);
     weight = dynamic_cast<TosaReference::TensorTemplate<TWeight>*>(inputs[1]);
     bias   = dynamic_cast<TosaReference::TensorTemplate<TBias>*>(inputs[2]);
     output = dynamic_cast<TosaReference::TensorTemplate<TAcc>*>(outputs[0]);
 
-    if (!input->hasFormat(Format_NHWC))
-    {
-        printNodeValidationError("OpDepthwiseConv2d: unsupported input tensor format");
-        return 1;
-    }
-
-    if (!weight->hasFormat(Format_HWIM))
-    {
-        printNodeValidationError("OpDepthwiseConv2d: unsupported weight tensor format");
-        return 1;
-    }
-
     if (attribute->padding().size() != 4)
     {
         printNodeValidationError("OpDepthwiseConv2d: illegal size for attribute padding");
@@ -881,12 +841,6 @@ int OpMaxPool2d<Dtype>::checkTensorAttributes()
     in  = dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[0]);
     out = dynamic_cast<TosaReference::TensorTemplate<TOut>*>(outputs[0]);
 
-    if (!in->hasFormat(Format_NHWC))
-    {
-        printNodeValidationError("OpMaxPool2d: unsupported tensor format");
-        return 1;
-    }
-
     if (attribute->padding().size() != 4)
     {
         printNodeValidationError("OpMaxPool2d: illegal size for attribute padding");
@@ -1021,28 +975,11 @@ int OpTransposeConv2d<InDtype, OutDtype>::checkTensorAttributes()
         return 1;
     }
 
-    if (inputs[1]->getIsConst() == 0)
-    {
-        printNodeValidationError("OpTransposeConv2d: weight tensor is not const typed");
-    }
-
     input  = dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[0]);
     weight = dynamic_cast<TosaReference::TensorTemplate<TWeight>*>(inputs[1]);
     bias   = dynamic_cast<TosaReference::TensorTemplate<TBias>*>(inputs[2]);
     output = dynamic_cast<TosaReference::TensorTemplate<TAcc>*>(outputs[0]);
 
-    if (!input->hasFormat(Format_NHWC))
-    {
-        printNodeValidationError("OpTransposeConv2d: unsupported input tensor format");
-        return 1;
-    }
-
-    if (!weight->hasFormat(Format_OHWI))
-    {
-        printNodeValidationError("OpTransposeConv2d: unsupported weight tensor format");
-        return 1;
-    }
-
     if (attribute->outpad().size() != 2)
     {
         printNodeValidationError("OpTransposeConv2d: illegal size for attribute outpad");