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authorDwight Lidman <dwight.lidman@arm.com>2021-03-15 19:06:10 +0100
committerpatrik.gustavsson <patrik.gustavsson@arm.com>2021-03-16 16:29:01 +0000
commit9b3791817c32529dfeddae57c29c2abe19311fc4 (patch)
tree866c769bb8627b686f7d25ddce3413380c34cbdb /ethosu/vela/tensor.py
parentc822d62ba27b874a130e9d8d434c12b419d10d62 (diff)
downloadethos-u-vela-9b3791817c32529dfeddae57c29c2abe19311fc4.tar.gz
MLBEDSW-4215: Add support for MEAN to match QuantizedMeanOrSum implementation
This commit adds support for emulating the behavior of the QuantizedMeanOrSum implementation of MEAN in TensorFlow Lite. Signed-off-by: Dwight Lidman <dwight.lidman@arm.com> Change-Id: Ifd24e0e678e2f85cd66ab82deeaaf010d5351b1e
Diffstat (limited to 'ethosu/vela/tensor.py')
-rw-r--r--ethosu/vela/tensor.py5
1 files changed, 4 insertions, 1 deletions
diff --git a/ethosu/vela/tensor.py b/ethosu/vela/tensor.py
index 97885d0e..e915363c 100644
--- a/ethosu/vela/tensor.py
+++ b/ethosu/vela/tensor.py
@@ -300,13 +300,16 @@ def create_const_tensor(
value_dtype: np.dtype = None,
purpose: TensorPurpose = TensorPurpose.Unknown,
quantization: QuantizationParameters = None,
+ quant_value_dtype: np.dtype = None,
):
# Tensor
const_tensor = Tensor(shape, dtype, name + "_0")
const_tensor.purpose = purpose
const_tensor.quantization = quantization
const_tensor.values = np.array(values, dtype=value_dtype)
- const_tensor.quant_values = np.frombuffer(const_tensor.values.tobytes(), dtype=np.uint8)
+ const_tensor.quant_values = np.frombuffer(
+ const_tensor.values.tobytes(), dtype=np.uint8 if not quant_value_dtype else quant_value_dtype
+ )
# Operator
const_op = Operation(Op.Const, name)
const_op.set_output_tensor(const_tensor)