From 25f48dd70aebeecd490de71eed3d4f7fbad1b121 Mon Sep 17 00:00:00 2001 From: Ayaan Masood Date: Wed, 29 Jun 2022 18:16:04 +0100 Subject: MLBEDSW-6314 Static optimisation for quantise OP *Quantise op becomes constant if input is known at compile time *Quantised values calculated if input of op is const and float *Const inputs to quant op that are int are requantized Change-Id: Ic94a72a392af709fe6a640d7dacbb5dc2334f16f Signed-off-by: Ayaan Masood --- SUPPORTED_OPS.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) (limited to 'SUPPORTED_OPS.md') diff --git a/SUPPORTED_OPS.md b/SUPPORTED_OPS.md index c258dfbd..83429b7a 100644 --- a/SUPPORTED_OPS.md +++ b/SUPPORTED_OPS.md @@ -58,10 +58,10 @@ Please check the supported operator list for your chosen runtime for further inf This is a list of constraints most NPU operators must satisfy in order to be scheduled on the NPU. (Operators excluded from certain constraints are shown in brackets [ ] ) -- Input(s) and Output tensors must not be dynamic +- 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 -- Scalar Input tensors are only valid for op type: ADD, EXPAND_DIMS, MAXIMUM, MEAN, MINIMUM, MUL, SPLIT, SPLIT_V, SUB +- 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] - 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] -- cgit v1.2.1