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| author | Johan Alfvén <johan.alfven@arm.com> | 2022-08-30 09:14:56 +0200 |
|---|---|---|
| committer | Fredrik Svedberg <fredrik.svedberg@arm.com> | 2022-09-01 11:33:50 +0000 |
| commit | 17009399160defd4ab21d85249ff31804d732f4b (patch) | |
| tree | 048ddcaf079437a583b7bab6d05e629419b67f04 /ethosu/vela/test | |
| parent | 89a8cdd5425521f68674ac23a78790f0f6dc98ed (diff) | |
| download | ethos-u-vela-17009399160defd4ab21d85249ff31804d732f4b.tar.gz | |
MLBEDSW-5029: Output diff for Mean op
Fixed three test cases causing output diff compared to
the reference kernel for the Mean operator.
- If there is a possibility that the accumulator could saturate
the Mean op must run CPU
- Use correct rounding for the bias term
- If a Reshape op is followed by a Mean op, push the Reshape op
to the CPU since this cannot be handled by the NPU
Signed-off-by: Johan Alfven <johan.alfven@arm.com>
Change-Id: I734465730372105821a5e2f73a6a125b9eb7d7f4
Diffstat (limited to 'ethosu/vela/test')
| -rw-r--r-- | ethosu/vela/test/test_tflite_supported_operators.py | 16 |
1 files changed, 16 insertions, 0 deletions
diff --git a/ethosu/vela/test/test_tflite_supported_operators.py b/ethosu/vela/test/test_tflite_supported_operators.py index 89c27997..cc8b3d2c 100644 --- a/ethosu/vela/test/test_tflite_supported_operators.py +++ b/ethosu/vela/test/test_tflite_supported_operators.py @@ -623,6 +623,22 @@ def test_mean_hw_product_int8(): op = create_mean([1, 16, 17, 16], [1, 1, 1, 16], [1, 2], DataType.int8, {"keep_dims": True}) assert not support.is_operator_supported(op) + # Create OP that will not saturate the accumulator + op = create_mean([1, 5, 14, 16], [1, 1, 1, 16], [1, 2], DataType.int8, {"keep_dims": True}) + op.ifm.quantization.scale_f32 = 2.0 + op.ifm.quantization.zero_point = 95 + op.ofm.quantization.scale_f32 = 1.0 + op.ofm.quantization.zero_point = 95 + assert support.is_operator_supported(op) + + # Create OP that can saturate the accumulator + op = create_mean([1, 6, 14, 16], [1, 1, 1, 16], [1, 2], DataType.int8, {"keep_dims": True}) + op.ifm.quantization.scale_f32 = 2.0 + op.ifm.quantization.zero_point = 95 + op.ofm.quantization.scale_f32 = 1.0 + op.ofm.quantization.zero_point = 95 + assert not support.is_operator_supported(op) + def test_mean_hw_product_avgpool(): op = create_mean([1, 200, 200, 16], [1, 16], [1, 2], DataType.uint8, {"keep_dims": False}) |