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| author | Sang-Hoon Park <sang-hoon.park@arm.com> | 2020-10-01 10:13:07 +0100 |
|---|---|---|
| committer | Sang-Hoon Park <sang-hoon.park@arm.com> | 2020-10-19 08:08:24 +0000 |
| commit | e4558b501bc4a8e4e731517916a29fb1594d2a78 (patch) | |
| tree | 1de4af663025100a09a2f39c801eb233003a4942 /tests/validation/NEON/DepthwiseConvolutionLayer.cpp | |
| parent | 671d4f01d96b62a24cf0688059118a1e7908650e (diff) | |
| download | ComputeLibrary-e4558b501bc4a8e4e731517916a29fb1594d2a78.tar.gz | |
COMPMID-3163: Remove padding from NEDepthwiseConvolutionLayerNativeKernel
Change-Id: Ibbd6bee5c6a4ce4f212b207d17a65b9c33bcfa78
Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4106
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/NEON/DepthwiseConvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/NEON/DepthwiseConvolutionLayer.cpp | 16 |
1 files changed, 1 insertions, 15 deletions
diff --git a/tests/validation/NEON/DepthwiseConvolutionLayer.cpp b/tests/validation/NEON/DepthwiseConvolutionLayer.cpp index 407ebe362a..e255fc7b4d 100644 --- a/tests/validation/NEON/DepthwiseConvolutionLayer.cpp +++ b/tests/validation/NEON/DepthwiseConvolutionLayer.cpp @@ -177,8 +177,6 @@ DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid output size TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), // Patch size bigger than input width TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), // Dilation < 1 - TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), // Window shrinking - TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8), // Window shrinking }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), @@ -188,8 +186,6 @@ DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), - TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), - TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), @@ -199,8 +195,6 @@ DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), - TensorInfo(TensorShape(16U), 1, DataType::F32), - TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), @@ -210,8 +204,6 @@ DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), - TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), - TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), @@ -221,8 +213,6 @@ DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), - PadStrideInfo(1, 1, 0, 0), - PadStrideInfo(1, 1, 1, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, @@ -232,8 +222,6 @@ DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip 1, 2, 2, - 2, - 3, })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), @@ -243,10 +231,8 @@ DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip Size2D(1U, 1U), Size2D(25U, 1U), Size2D(0U, 1U), - Size2D(1U, 1U), - Size2D(1U, 1U), })), - framework::dataset::make("Expected", { false, false, false, false, false, false,false, false, false, false })), + framework::dataset::make("Expected", { false, false, false, false, false, false, false, false})), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier,dilation, expected) { bool is_valid = bool(NEDepthwiseConvolutionLayer::validate(&input_info.clone()->set_is_resizable(false), &weights_info.clone()->set_is_resizable(false), &biases_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), conv_info, depth_multiplier, ActivationLayerInfo(), dilation)); |