diff options
Diffstat (limited to 'ethosu/vela/tosa_supported_operators.py')
| -rw-r--r-- | ethosu/vela/tosa_supported_operators.py | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/ethosu/vela/tosa_supported_operators.py b/ethosu/vela/tosa_supported_operators.py index d7a1ebc2..c619f2f9 100644 --- a/ethosu/vela/tosa_supported_operators.py +++ b/ethosu/vela/tosa_supported_operators.py @@ -38,7 +38,7 @@ class TosaSupportedOperators: fc_vector_products = set((Op.FullyConnected,)) mac_main_ops = convolution_like_ops | pooling_ops | fc_vector_products - memory_only_ops = set((Op.Reshape, Op.Transpose,)) + memory_only_ops = set((Op.Reshape, Op.Transpose, Op.Concat, Op.SplitSliceRead,)) binary_elem_wise_add_mul_sub = set((Op.Add, Op.Mul, Op.RescaleMul, Op.Sub,)) @@ -53,7 +53,7 @@ class TosaSupportedOperators: # Supported data types # TODO will differ compared to TensorFlow Lite, currently set to the same - supported_op_dtypes = set((DataType.uint8, DataType.int8, DataType.int16, DataType.int32)) + supported_op_dtypes = set((DataType.uint8, DataType.int8, DataType.int16, DataType.int32)) # TODO add bool def __init__(self): # Setup the generic constraints. Note: the order matters @@ -109,7 +109,7 @@ class TosaSupportedOperators: valid = op.ifm.ops and op.ifm.ops[0].type == Op.Const return valid, "Op has ifm with non-constant data" - # TODO duplicates tflite_supported operators, but support for depth multiplier should be added at a later stage + # TODO duplicates TFLite_supported operators, but support for depth multiplier should be added at a later stage @staticmethod def constraint_depth_multiplier(op): "For depth multipliers > 1, IFM channels must be 1 and OFM channels must be equal to the depth multiplier" |