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| author | Michael McGeagh <michael.mcgeagh@arm.com> | 2020-11-25 12:36:23 +0000 |
|---|---|---|
| committer | Michael McGeagh <michael.mcgeagh@arm.com> | 2020-11-25 12:36:23 +0000 |
| commit | 34d29174c28c724a45602c5ebe8fdab4f86edde7 (patch) | |
| tree | f532b1c859123ac289abddeab3767d84461a8ab8 /SUPPORTED_OPS.md | |
| parent | 54a6111883f7bb4245770909c4c13ee7c92f41cc (diff) | |
| download | ethos-u-vela-34d29174c28c724a45602c5ebe8fdab4f86edde7.tar.gz | |
vela: Improve printing of sets
When printing a set in the docstrings for the SUPPORTED_OPS.md file, the
order is random.
Reuse existing sorted string repr for the operator list and apply to
other printed sets (data types)
Signed-off-by: Michael McGeagh <michael.mcgeagh@arm.com>
Change-Id: I2ac12ea91c2637219e5c24f9a863aa0fc2086e77
Diffstat (limited to 'SUPPORTED_OPS.md')
| -rw-r--r-- | SUPPORTED_OPS.md | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/SUPPORTED_OPS.md b/SUPPORTED_OPS.md index fdda1570..bc1f0aae 100644 --- a/SUPPORTED_OPS.md +++ b/SUPPORTED_OPS.md @@ -55,7 +55,7 @@ This is a list of constraints that all NPU operators must satisfy in order to be - Output tensors cannot be scalar - Scalar Input tensors are only valid for op type: ADD, MAXIMUM, MINIMUM, MUL, SPLIT, SPLIT_V, SUB - Input(s) and Output tensors must not be greater than 4D -- Tensors must be of type: {int8, int32, int16, uint8} +- Tensors must be of type: int16, int32, int8, uint8 - Tensors which are int32 are only valid when op type is: ADD, MUL, SUB - Tensor dimensions must be in the range [1, 65535] - Input(s), Output and Weight tensors must have quantization parameters @@ -117,7 +117,7 @@ This is a list of constraints that the CONV_2D operator must satisfy in order to - Weight tensor must be 8-bit - Weight tensor must be constant - The sum of the weights cannot exceed 8323072 -- Optional Bias tensor must be of type: {int32, int64} +- Optional Bias tensor must be of type: int32, int64 - Optional Bias tensor values must fit within 40-bits - IFM Tensor batch size must be 1 @@ -134,7 +134,7 @@ This is a list of constraints that the DEPTHWISE_CONV_2D operator must satisfy i - Weight tensor must be 8-bit - Weight tensor must be constant - The sum of the weights cannot exceed 8323072 -- Optional Bias tensor must be of type: {int32, int64} +- Optional Bias tensor must be of type: int32, int64 - Optional Bias tensor values must fit within 40-bits - IFM Tensor batch size must be 1 - For depth multipliers > 1, IFM channels must be 1 and OFM channels must be equal to the depth multiplier @@ -145,7 +145,7 @@ This is a list of constraints that the FULLY_CONNECTED operator must satisfy in - Weight tensor must be 8-bit - Weight tensor must be constant -- Optional Bias tensor must be of type: {int32, int64} +- Optional Bias tensor must be of type: int32, int64 - Optional Bias tensor values must fit within 40-bits ## LEAKY_RELU Constraints @@ -277,7 +277,7 @@ This is a list of constraints that the TRANSPOSE_CONV operator must satisfy in o - Weight tensor must be 8-bit - Weight tensor must be constant - The sum of the weights cannot exceed 8323072 -- Optional Bias tensor must be of type: {int32, int64} +- Optional Bias tensor must be of type: int32, int64 - Optional Bias tensor values must fit within 40-bits - IFM Tensor batch size must be 1 - Stride values for both width and height must be 2 |