From ebe26c7af49ad277df347dac7c4c05959d83f387 Mon Sep 17 00:00:00 2001 From: Dwight Lidman Date: Tue, 9 Jun 2020 11:40:54 +0200 Subject: MLBEDSW-1538: Output diff for elementwise min/max This commit adds a quantization restriction check for supported operators, so that operators with different quantization between its IFM (1/2) and OFM tensors that do not support it, are correctly placed on the CPU. The quantization between two tensors is compared using a new equality function implemented for the QuantizationParameters class. Signed-off-by: Dwight Lidman Change-Id: I70ff36b4ab4955f328d6e6e699f00dbc43c0404a --- ethosu/vela/supported_operators.py | 12 ++++++++++++ ethosu/vela/tensor.py | 13 +++++++++++++ 2 files changed, 25 insertions(+) (limited to 'ethosu/vela') diff --git a/ethosu/vela/supported_operators.py b/ethosu/vela/supported_operators.py index 3bf46a9d..e8e8d852 100644 --- a/ethosu/vela/supported_operators.py +++ b/ethosu/vela/supported_operators.py @@ -100,6 +100,9 @@ class SupportedOperators: self.supported_operator_restrictions.update( {op: self.check_memory_only_restrictions for op in self.memory_only_ops} ) + self.supported_operator_restrictions.update( + {op: self.check_quantization_restrictions for op in self.binary_elem_wise_min_max_ops} + ) def is_operator_supported(self, op): if op.type not in self.supported_operators: @@ -301,3 +304,12 @@ class SupportedOperators: if op.attrs["new_axis_mask"] != 0 and op.attrs["shrink_axis_mask"] != 0: return False return True + + def check_quantization_restrictions(self, op): + # makes sure IFM1, IFM2 and OFM quantization are equal for binary ops + if (len(op.inputs) == 2 + and not op.inputs[0].quantization == op.inputs[1].quantization == op.outputs[0].quantization): + print("Warning: Input/output tensors with different quantization is unsupported for the", op.type, + "operator") + return False + return True \ No newline at end of file diff --git a/ethosu/vela/tensor.py b/ethosu/vela/tensor.py index 5e97cfe8..42ba853d 100644 --- a/ethosu/vela/tensor.py +++ b/ethosu/vela/tensor.py @@ -181,6 +181,19 @@ class QuantizationParameters: __repr__ = __str__ + def __eq__(self, other): + if other is None: + return False + if not isinstance(other, QuantizationParameters): + return False + + pairs = ((getattr(self, s), getattr(other, s)) for s in QuantizationParameters.__slots__) + + return all(np.array_equal(a, b) for a, b in pairs) + + def __ne__(self, other): + return not self == other + def clone(self): res = QuantizationParameters() res.min = self.min -- cgit v1.2.1