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| author | Michael McGeagh <michael.mcgeagh@arm.com> | 2020-10-14 09:30:02 +0100 |
|---|---|---|
| committer | Michael McGeagh <michael.mcgeagh@arm.com> | 2020-10-19 12:06:01 +0100 |
| commit | 1f951fc47abd52db0ac048802dab0c95b149d7b8 (patch) | |
| tree | 2d4337a75f557813bdac3a9c5a1272a7bbc792b6 /ethosu/vela/test/testutil.py | |
| parent | c6ac1944d9934faf6d22825cdd3273afe55432a4 (diff) | |
| download | ethos-u-vela-1f951fc47abd52db0ac048802dab0c95b149d7b8.tar.gz | |
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
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 |