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| author | Vidhya Sudhan Loganathan <vidhyasudhan.loganathan@arm.com> | 2018-07-02 09:13:49 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:10 +0000 |
| commit | 014333d73883c3872e458cedda5ccef586a7ccd4 (patch) | |
| tree | 0f28bbc1ab769993af91b40e4584061f6ed6d3fa /tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h | |
| parent | de01468bbfff3a7d8bcbba3bfdf5698fb2e3b267 (diff) | |
| download | ComputeLibrary-014333d73883c3872e458cedda5ccef586a7ccd4.tar.gz | |
COMPMID-970 : Remove QS8 / QS16 support
Removed Fixed point position arguments from test sources
Change-Id: I8343724723b71611fd501ed34de0866d3fb60e7e
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/136382
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele DiGiorgio <michele.digiorgio@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h')
| -rw-r--r-- | tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h b/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h index 9276431de8..48ea03810f 100644 --- a/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h +++ b/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h @@ -57,15 +57,15 @@ public: weights_shape.set(2, dst_shape.z()); // Set batched in source and destination shapes - const unsigned int fixed_point_position = 4; + src_shape.set(3 /* batch */, batches); dst_shape.set(3 /* batch */, batches); // Create tensors - src = create_tensor<TensorType>(src_shape, data_type, 1, fixed_point_position, QuantizationInfo(0.5f, 10)); - weights = create_tensor<TensorType>(weights_shape, data_type, 1, fixed_point_position, QuantizationInfo(0.5f, 10)); - biases = create_tensor<TensorType>(TensorShape(weights_shape[2]), is_data_type_quantized_asymmetric(data_type) ? DataType::S32 : data_type, 1, fixed_point_position); - dst = create_tensor<TensorType>(dst_shape, data_type, 1, fixed_point_position, QuantizationInfo(0.5f, 10)); + src = create_tensor<TensorType>(src_shape, data_type, 1, QuantizationInfo(0.5f, 10)); + weights = create_tensor<TensorType>(weights_shape, data_type, 1, QuantizationInfo(0.5f, 10)); + biases = create_tensor<TensorType>(TensorShape(weights_shape[2]), is_data_type_quantized_asymmetric(data_type) ? DataType::S32 : data_type, 1); + dst = create_tensor<TensorType>(dst_shape, data_type, 1, QuantizationInfo(0.5f, 10)); // Create and configure function depth_conv.configure(&src, &weights, &biases, &dst, info); |