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| author | Fredrik Svedberg <fredrik.svedberg@arm.com> | 2021-09-02 15:20:52 +0200 |
|---|---|---|
| committer | Fredrik Svedberg <fredrik.svedberg@arm.com> | 2021-09-03 12:19:18 +0000 |
| commit | cce872bc3de3ed5f9bf1aa1a8cf9ce41cf2b2520 (patch) | |
| tree | 3ebd91193610d04e5bb6ab8b2da161426e81b9f6 | |
| parent | c74682cfd27eb2c203ce4486e712916c45da9881 (diff) | |
| download | ethos-u-vela-cce872bc3de3ed5f9bf1aa1a8cf9ce41cf2b2520.tar.gz | |
MLBEDSW-5056 Output diff wav2letter (int16)
Fixed output diff for wav2letter int16 by correcting the scaling
used for LeakyRelu.
Signed-off-by: Fredrik Svedberg <fredrik.svedberg@arm.com>
Change-Id: I8be1e14c25d223dc6e42c4ec498ff4d3d9de65d7
| -rw-r--r-- | ethosu/vela/tflite_graph_optimiser.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/ethosu/vela/tflite_graph_optimiser.py b/ethosu/vela/tflite_graph_optimiser.py index 3f743e4..255a1f5 100644 --- a/ethosu/vela/tflite_graph_optimiser.py +++ b/ethosu/vela/tflite_graph_optimiser.py @@ -881,14 +881,14 @@ def convert_lrelu_to_mul_max(op, arch): mul_alpha = Operation(Op.Mul, op.name + "_mul_alpha") mul_alpha.add_input_tensor(ifm) # Create const tensor containing alpha as scalar - alpha = op.attrs["alpha"] + alpha = np.float32(op.attrs["alpha"]) quantization = ifm.quantization.clone() quantization.min = 0 quantization.max = alpha * (quantization.quant_max - quantization.quant_min) quantization.zero_point = 0 - if np.isinf(1 / np.float32(alpha)): + if np.isinf(1 / alpha): # Handling of alpha near zero - quantization.scale_f32 = 1 + quantization.scale_f32 = np.float32(1) scalar = 0 else: quantization.scale_f32 = alpha @@ -914,7 +914,7 @@ def convert_lrelu_to_mul_max(op, arch): quantization = ifm.quantization.clone() quantization.min = 0 quantization.max = quantization.quant_max - quantization.quant_min - quantization.scale_f32 = 1 + quantization.scale_f32 = np.float32(1) quantization.zero_point = 0 identity_tens = create_const_tensor( op.name + "_id_scalar", [], ifm.dtype, [1], np.uint8, quantization=quantization |