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Diffstat (limited to 'ethosu/vela/test/testutil.py')
| -rw-r--r-- | ethosu/vela/test/testutil.py | 25 |
1 files changed, 25 insertions, 0 deletions
diff --git a/ethosu/vela/test/testutil.py b/ethosu/vela/test/testutil.py index c5ff0033..92bf53dc 100644 --- a/ethosu/vela/test/testutil.py +++ b/ethosu/vela/test/testutil.py @@ -72,6 +72,31 @@ def create_elemwise_op( 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 |