diff options
| -rw-r--r-- | ethosu/vela/supported_operators.py | 22 |
1 files changed, 13 insertions, 9 deletions
diff --git a/ethosu/vela/supported_operators.py b/ethosu/vela/supported_operators.py index 23135f8a..fb3061f7 100644 --- a/ethosu/vela/supported_operators.py +++ b/ethosu/vela/supported_operators.py @@ -45,9 +45,10 @@ class SupportedOperators: # RNN/LSTM/GRU | set(("BlockLSTM")) ) - self.elem_wise_main_ops = set( + self.unary_elem_wise_main_ops = set(("LeakyRelu", "Abs")) + self.binary_elem_wise_main_ops = set( ( - # element-wise + # binary element-wise "AddAct", "MulAct", "SubAct", @@ -61,6 +62,7 @@ class SupportedOperators: "Maximum", ) ) + self.elem_wise_main_ops = self.binary_elem_wise_main_ops | self.unary_elem_wise_main_ops self.activation_ops = set( ("QuantizedRelu", "QuantizedRelu1", "QuantizedRelu6", "Relu", "Relu6", "ReluN1To1", "Sigmoid", "Tanh") ) @@ -223,16 +225,18 @@ class SupportedOperators: return False # check batch size - if (len(ifm_tensor.shape) > 2 and ifm_tensor.shape[0] != 1) or ( - len(ifm2_tensor.shape) > 2 and ifm2_tensor.shape[0] != 1 - ): - return False + if len(ifm_tensor.shape) > 2 and ifm_tensor.shape[0] != 1: + return False + if op.type in self.binary_elem_wise_main_ops: # if op type is unary, ifm2_tensor is None + if len(ifm2_tensor.shape) > 2 and ifm2_tensor.shape[0] != 1: + return False # check scalar size - if (hasattr(ifm_tensor.values, "__len__") and len(ifm_tensor.values) > 1) or ( - hasattr(ifm2_tensor.values, "__len__") and len(ifm2_tensor.values) > 1 - ): + if hasattr(ifm_tensor.values, "__len__") and len(ifm_tensor.values) > 1: return False + if op.type in self.binary_elem_wise_main_ops: # same as above + if hasattr(ifm2_tensor.values, "__len__") and len(ifm2_tensor.values) > 1: + return False return True def check_memory_only_restrictions(self, op): |