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-rw-r--r--SUPPORTED_OPS.md5
1 files changed, 3 insertions, 2 deletions
diff --git a/SUPPORTED_OPS.md b/SUPPORTED_OPS.md
index ba5b7919..08c63e7c 100644
--- a/SUPPORTED_OPS.md
+++ b/SUPPORTED_OPS.md
@@ -1,7 +1,7 @@
# Supported Ops
This file was automatically generated by Vela using the `--supported-ops-report` parameter.
-Vela version: `3.7.1.dev10+g521c494`
+Vela version: `3.7.1.dev15+g2b5f66e`
This file complies with
[**Gitiles Markdown syntax**](https://github.com/google/gitiles/blob/master/Documentation/markdown.md)
@@ -71,7 +71,7 @@ This is a list of constraints most NPU operators must satisfy in order to be sch
- Input(s), Output and Weight tensors with quantization scales must be finite
- Input and Output tensors must have quantization scales that fit within float32 precision
- Constant tensors should not have NoneType-values
-- Tensors must be of type: int16, int32, int8, uint8
+- Tensors must be of type: int16, int32, int8, uint8 - [ARG_MAX]
- Tensors which are int32 are only valid when op type is: ADD, ARG_MAX, MUL, SHAPE, SUB
- Tensor dimensions must be in the range [1, 65535]
- Per-axis quantization is only supported for the following op types: CONV_2D, DEPTHWISE_CONV_2D, TRANSPOSE_CONV
@@ -101,6 +101,7 @@ This is a list of constraints that the ADD operator must satisfy in order to be
This is a list of constraints that the ARG_MAX operator must satisfy in order to be scheduled on the NPU.
- IFM must be int8 or uint8
+- OFM must be int32 or int64
- Operation must be performed along the depth axis
- IFM depth must be no greater than 127