MLBEDSW-2412 Refactor constraints for conv ops
Using a new system to report constraints, replaced existing
functionality for checking conv-like ops.
This new system will allow reporting of all constraints regardless of
any input network.
Signed-off-by: Michael McGeagh <michael.mcgeagh@arm.com>
Change-Id: If81177deca2a3b57c9dd9a3a08868cbc9cef0c23
diff --git a/ethosu/vela/test/testutil.py b/ethosu/vela/test/testutil.py
index c5ff003..92bf53d 100644
--- a/ethosu/vela/test/testutil.py
+++ b/ethosu/vela/test/testutil.py
@@ -72,6 +72,31 @@
return op
+def create_op_with_quant_tensors(op_type, ifm_shape, ofm_shape, weights_shape=None, datatype=DataType.uint8):
+ qp = QuantizationParameters()
+ ifm = Tensor(ifm_shape, datatype, "in")
+ ifm.quantization = qp
+ ofm = Tensor(ofm_shape, datatype, "out")
+ ofm.quantization = qp
+ op = Operation(op_type, "op")
+ op.add_input_tensor(ifm)
+ op.set_output_tensor(ofm)
+ # Optional weight tensor
+ if weights_shape is not None:
+ if datatype.size_in_bytes() == 1:
+ np_type = np.uint8
+ elif datatype.size_in_bytes() == 2:
+ np_type = np.int16
+ else:
+ np_type = np.int32
+ qp.zero_point = np.zeros(weights_shape)
+ weights = create_const_tensor(
+ "weights", weights_shape, datatype, np.zeros(weights_shape), np_type, quantization=qp
+ )
+ op.add_input_tensor(weights)
+ return op
+
+
def create_op(op_type, inputs, output, attrs=dict()):
op = Operation(op_type, output.name + "_op")
op.inputs = inputs