diff options
Diffstat (limited to 'ethosu/vela/test/test_tflite_supported_operators.py')
| -rw-r--r-- | ethosu/vela/test/test_tflite_supported_operators.py | 37 |
1 files changed, 36 insertions, 1 deletions
diff --git a/ethosu/vela/test/test_tflite_supported_operators.py b/ethosu/vela/test/test_tflite_supported_operators.py index f54211f..e5cc280 100644 --- a/ethosu/vela/test/test_tflite_supported_operators.py +++ b/ethosu/vela/test/test_tflite_supported_operators.py @@ -218,12 +218,47 @@ def test_constraint_depth_multiplier(): def test_constraint_tconv_stride(): - # Strides must be 2 + # Valid 2x2 op = testutil.create_op_with_quant_tensors(Op.Conv2DBackpropInput, [0], [1, 2, 2, 1], weights_shape=[1, 1, 1, 1]) + op.attrs = {"stride_w": 2, "stride_h": 2, "padding": Padding.SAME} + ifm = Tensor([1, 1, 1, 1], DataType.uint8, "ifm") + ifm.quantization = testutil.default_quant_params() + op.add_input_tensor(ifm) + assert support.is_operator_supported(op) + # Valid 1x1 + op = testutil.create_op_with_quant_tensors(Op.Conv2DBackpropInput, [0], [1, 1, 1, 1], weights_shape=[1, 1, 1, 1]) op.attrs = {"stride_w": 1, "stride_h": 1, "padding": Padding.SAME} ifm = Tensor([1, 1, 1, 1], DataType.uint8, "ifm") ifm.quantization = testutil.default_quant_params() op.add_input_tensor(ifm) + assert support.is_operator_supported(op) + # Valid 2x1 (WxH) ifm h and kernel h = 1 + op = testutil.create_op_with_quant_tensors(Op.Conv2DBackpropInput, [0], [1, 1, 2, 1], weights_shape=[1, 1, 1, 1]) + op.attrs = {"stride_w": 2, "stride_h": 1, "padding": Padding.SAME} + ifm = Tensor([1, 1, 1, 1], DataType.uint8, "ifm") + ifm.quantization = testutil.default_quant_params() + op.add_input_tensor(ifm) + assert support.is_operator_supported(op) + # Invalid 2x1 (WxH) ifm h = 2 and kernel h = 1 + op = testutil.create_op_with_quant_tensors(Op.Conv2DBackpropInput, [0], [1, 1, 2, 1], weights_shape=[1, 1, 1, 1]) + op.attrs = {"stride_w": 2, "stride_h": 1, "padding": Padding.SAME} + ifm = Tensor([1, 2, 1, 1], DataType.uint8, "ifm") + ifm.quantization = testutil.default_quant_params() + op.add_input_tensor(ifm) + assert not support.is_operator_supported(op) + # Invalid 2x1 (WxH) ifm h = 1 and kernel h = 2 + op = testutil.create_op_with_quant_tensors(Op.Conv2DBackpropInput, [0], [1, 1, 1, 1], weights_shape=[1, 2, 1, 1]) + op.attrs = {"stride_w": 2, "stride_h": 1, "padding": Padding.SAME} + ifm = Tensor([1, 2, 1, 1], DataType.uint8, "ifm") + ifm.quantization = testutil.default_quant_params() + op.add_input_tensor(ifm) + assert not support.is_operator_supported(op) + # Invalid 1x2 (WxH) + op = testutil.create_op_with_quant_tensors(Op.Conv2DBackpropInput, [0], [1, 1, 1, 1], weights_shape=[1, 1, 1, 1]) + op.attrs = {"stride_w": 1, "stride_h": 2, "padding": Padding.SAME} + ifm = Tensor([1, 1, 1, 1], DataType.uint8, "ifm") + ifm.quantization = testutil.default_quant_params() + op.add_input_tensor(ifm) assert not support.is_operator_supported(op) |