diff options
Diffstat (limited to 'SUPPORTED_OPS.md')
| -rw-r--r-- | SUPPORTED_OPS.md | 11 |
1 files changed, 6 insertions, 5 deletions
diff --git a/SUPPORTED_OPS.md b/SUPPORTED_OPS.md index 83429b7a..d16d5f8e 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: `3.4.0rc3.dev1+g5e0ae55` +Vela version: `3.4.1.dev3+g5c30971e` This file complies with [**Gitiles Markdown syntax**](https://github.com/google/gitiles/blob/master/Documentation/markdown.md) @@ -42,6 +42,7 @@ Please check the supported operator list for your chosen runtime for further inf | RELU_N1_TO_1 | [Generic](#tflite-generic-constraints) | | RESHAPE | [Generic](#tflite-generic-constraints), [Specific](#tflite-reshape-constraints) | | RESIZE_BILINEAR | [Generic](#tflite-generic-constraints), [Specific](#tflite-resize_bilinear-constraints) | +| SHAPE | [Generic](#tflite-generic-constraints) | | SLICE | [Generic](#tflite-generic-constraints) | | SOFTMAX | [Generic](#tflite-generic-constraints), [Specific](#tflite-softmax-constraints) | | SPLIT | [Generic](#tflite-generic-constraints) | @@ -61,14 +62,14 @@ This is a list of constraints most NPU operators must satisfy in order to be sch - Input(s) and Output tensors must not be dynamic - [Quantize] - Input(s) and Output tensors must have a defined shape - Output tensors cannot be scalar - [Quantize] -- Scalar Input tensors are only valid for op type: ADD, EXPAND_DIMS, MAXIMUM, MEAN, MINIMUM, MUL, SPLIT, SPLIT_V, SUB - [Quantize] +- Scalar Input tensors are only valid for op type: ADD, EXPAND_DIMS, MAXIMUM, MEAN, MINIMUM, MUL, QUANTIZE, SPLIT, SPLIT_V, SUB - Input(s) and Output tensors must not be greater than 4D - Input(s), Output and Weight tensors must have quantization parameters - [Shape] -- Input(s), Output and Weight tensors with quantization scales must be finite - [Shape] -- Input and Output tensors must have quantization scales that fit within float32 precision - [Shape] +- 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 which are int32 are only valid when op type is: ADD, MUL, SUB +- Tensors which are int32 are only valid when op type is: ADD, 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 - The fused activation function (if present) must be one of type: LOGISTIC, RELU, RELU6, RELU_N1_TO_1, TANH |