aboutsummaryrefslogtreecommitdiff
path: root/ethosu/vela/test/test_tflite_model_semantic.py
diff options
context:
space:
mode:
authorFredrik Svedberg <fredrik.svedberg@arm.com>2023-04-11 22:35:04 +0200
committerFredrik Svedberg <fredrik.svedberg@arm.com>2023-04-17 14:16:44 +0200
commit0ac0804e76e098695ee2b8a9e24e2f0a1efc324f (patch)
tree9ccb766221987a415244079ed6c596a47d693b20 /ethosu/vela/test/test_tflite_model_semantic.py
parentc1ad80b3a581dd39b39a112d6c2026f6560207a4 (diff)
downloadethos-u-vela-0ac0804e76e098695ee2b8a9e24e2f0a1efc324f.tar.gz
MLBEDSW-7196 Add LSTM support
Added int8 and int16 UNIDIRECTIONAL_SEQUENCE_LSTM support. The implementation does not include support for: * CIFG * Peephole * Projection * Normalisation This change also: * Removed unused Op.BlockLSTM operation type. * Removed the only one consumer limitation on putting the SplitSliceRead on the tensor consumer(s), if all consumers fullfills the requirements * Added Op.VariableTensorWrite as a Operation.memory_function to make sure writes to variable tensors: * Always use linear mode * Are not moved to fast scratch * Are not fused with other elementwise operation tensor ranges Change-Id: Ief831738924ac3d1f2ba6d41f10bd6dc969911f3 Signed-off-by: Fredrik Svedberg <fredrik.svedberg@arm.com>
Diffstat (limited to 'ethosu/vela/test/test_tflite_model_semantic.py')
-rw-r--r--ethosu/vela/test/test_tflite_model_semantic.py34
1 files changed, 34 insertions, 0 deletions
diff --git a/ethosu/vela/test/test_tflite_model_semantic.py b/ethosu/vela/test/test_tflite_model_semantic.py
index fd23d042..d4c92553 100644
--- a/ethosu/vela/test/test_tflite_model_semantic.py
+++ b/ethosu/vela/test/test_tflite_model_semantic.py
@@ -576,3 +576,37 @@ def test_matching_in_out_quant():
dim = create_const_tensor("expand_dims_dim", [], DataType.uint8, 0)
op = testutil.create_op(Op.ExpandDims, [ifm, dim], ofm, set_ifm_ofm_shapes=False)
assert not semantic_checker.is_operator_semantic_valid(op)
+
+
+def test_lstm_semantics():
+ # Test valid configurations
+ op = testutil.create_lstm_op(3, 12, 24, 20, DataType.int8)
+ assert semantic_checker.is_operator_semantic_valid(op)
+ assert semantic_checker.is_operator_semantic_valid(testutil.create_lstm_op(3, 12, 24, 20, DataType.int16))
+ # Test invalid datatype
+ assert not semantic_checker.is_operator_semantic_valid(testutil.create_lstm_op(3, 12, 24, 20, DataType.uint8))
+ # Test invalid shape
+ ifm_shape = op.ifm.shape
+ ofm_shape = op.ofm.shape
+ op.ifm.shape = [12, 24]
+ assert not semantic_checker.is_operator_semantic_valid(op)
+ op.ifm.shape = ifm_shape
+ op.ofm.shape = [12, 20]
+ assert not semantic_checker.is_operator_semantic_valid(op)
+ op.ofm.shape = ofm_shape
+ # Test invalid number of intermediates
+ intermediate = op.intermediates.pop()
+ assert not semantic_checker.is_operator_semantic_valid(op)
+ op.intermediates.append(intermediate)
+ op.intermediates.append(intermediate)
+ assert not semantic_checker.is_operator_semantic_valid(op)
+ op.intermediates.pop()
+ # Test invalid number of inputs
+ input = op.inputs.pop()
+ assert not semantic_checker.is_operator_semantic_valid(op)
+ op.inputs.append(input)
+ op.inputs.append(input)
+ assert not semantic_checker.is_operator_semantic_valid(op)
+ op.inputs.pop()
+ # Test restored valid configuration
+ assert semantic_checker.is_operator_semantic_valid(op)