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Diffstat (limited to 'tests/validation/dynamic_fusion/gpu/cl/DepthwiseConv2d.cpp')
-rw-r--r--tests/validation/dynamic_fusion/gpu/cl/DepthwiseConv2d.cpp93
1 files changed, 25 insertions, 68 deletions
diff --git a/tests/validation/dynamic_fusion/gpu/cl/DepthwiseConv2d.cpp b/tests/validation/dynamic_fusion/gpu/cl/DepthwiseConv2d.cpp
index f08cc60ea2..b6331d70c8 100644
--- a/tests/validation/dynamic_fusion/gpu/cl/DepthwiseConv2d.cpp
+++ b/tests/validation/dynamic_fusion/gpu/cl/DepthwiseConv2d.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2022 Arm Limited.
+ * Copyright (c) 2022-2023 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -53,31 +53,29 @@ constexpr float tolerance_num = 0.02f; /**< T
// *INDENT-OFF*
// clang-format off
-DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip(
- framework::dataset::make("InputInfo", { TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Mismatching data type input/weights
- TensorInfo(TensorShape(3U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Mismatching input feature maps
- TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Mismatching depth multiplier
- TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Invalid biases size
- TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Invalid biases dimensions
- TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Invalid output size
- TensorInfo(TensorShape(8U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // patch size bigger than input width
- TensorInfo(TensorShape(8U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // dilation < 1
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip( // Explanations of failing tests
+ framework::dataset::make("InputInfo", { TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Mismatching data type input/weights
+ TensorInfo(TensorShape(3U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Mismatching input feature maps
+ TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Mismatching depth multiplier
+ TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Invalid biases size
+ TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Invalid biases dimensions
+ TensorInfo(TensorShape(8U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // dilation < 1
TensorInfo(TensorShape(8U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC),
- TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QASYMM8, DataLayout::NHWC), // Unsupported data type
- TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QASYMM8_SIGNED, DataLayout::NHWC), // Unsupported data type
- TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QSYMM16, DataLayout::NHWC), // Unsupported data type
- TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QSYMM8, DataLayout::NHWC), // Unsupported data type
- TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QSYMM8_PER_CHANNEL, DataLayout::NHWC), // Unsupported data type
- TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QASYMM16, DataLayout::NHWC), // Unsupported data type
- TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::U8, DataLayout::NHWC), // Unsupported data type
- TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::S8, DataLayout::NHWC), // Unsupported data type
- TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::U16, DataLayout::NHWC), // Unsupported data type
- TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::S16, DataLayout::NHWC), // Unsupported data type
- TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::U32, DataLayout::NHWC), // Unsupported data type
- TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::S32, DataLayout::NHWC), // Unsupported data type
- TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::F32, DataLayout::NCHW), // Unsupported data layout
+ TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QASYMM8, DataLayout::NHWC), // Unsupported data type
+ TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QASYMM8_SIGNED, DataLayout::NHWC), // Unsupported data type
+ TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QSYMM16, DataLayout::NHWC), // Unsupported data type
+ TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QSYMM8, DataLayout::NHWC), // Unsupported data type
+ TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QSYMM8_PER_CHANNEL, DataLayout::NHWC), // Unsupported data type
+ TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QASYMM16, DataLayout::NHWC), // Unsupported data type
+ TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::U8, DataLayout::NHWC), // Unsupported data type
+ TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::S8, DataLayout::NHWC), // Unsupported data type
+ TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::U16, DataLayout::NHWC), // Unsupported data type
+ TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::S16, DataLayout::NHWC), // Unsupported data type
+ TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::U32, DataLayout::NHWC), // Unsupported data type
+ TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::S32, DataLayout::NHWC), // Unsupported data type
+ TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::F32, DataLayout::NCHW), // Unsupported data layout
TensorInfo(TensorShape(8U, 32U, 13U, 4U), 1, DataType::F32, DataLayout::NHWC),
- TensorInfo(TensorShape(8U, 32U, 13U, 4U), 1, DataType::F32, DataLayout::NHWC), // weight dimension > 3
+ TensorInfo(TensorShape(8U, 32U, 13U, 4U), 1, DataType::F32, DataLayout::NHWC), // weight dimension > 3
TensorInfo(TensorShape(8U, 32U, 13U, 4U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(8U, 32U, 13U, 4U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(8U, 32U, 13U, 4U), 1, DataType::F32, DataLayout::NHWC),
@@ -87,8 +85,6 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
TensorInfo(TensorShape(2U, 3U, 3U, 2U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(2U, 3U, 3U, 2U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(2U, 3U, 3U, 2U), 1, DataType::F32, DataLayout::NHWC),
- TensorInfo(TensorShape(2U, 3U, 3U, 2U), 1, DataType::F32, DataLayout::NHWC),
- TensorInfo(TensorShape(16U, 3U, 3U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(16U, 3U, 3U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(16U, 3U, 3U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::QASYMM8, DataLayout::NHWC),
@@ -115,8 +111,6 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
TensorInfo(TensorShape(2U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(4U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(2U, 2U), 1, DataType::F32, DataLayout::NHWC),
- TensorInfo(TensorShape(2U), 1, DataType::F32, DataLayout::NHWC),
- TensorInfo(TensorShape(16U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(16U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(16U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC),
@@ -138,34 +132,6 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
TensorInfo(TensorShape(24U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(24U), 1, DataType::F32, DataLayout::NHWC),
})),
- framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(2U, 25U, 11U), 1, DataType::F32, DataLayout::NHWC),
- TensorInfo(TensorShape(2U, 25U, 11U), 1, DataType::F32, DataLayout::NHWC),
- TensorInfo(TensorShape(2U, 25U, 11U), 1, DataType::F32, DataLayout::NHWC),
- TensorInfo(TensorShape(2U, 25U, 11U), 1, DataType::F32, DataLayout::NHWC),
- TensorInfo(TensorShape(2U, 25U, 11U), 1, DataType::F32, DataLayout::NHWC),
- TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC),
- TensorInfo(TensorShape(16U, 25U, 11U), 1, DataType::F32, DataLayout::NHWC),
- TensorInfo(TensorShape(16U, 25U, 11U), 1, DataType::F32, DataLayout::NHWC),
- TensorInfo(TensorShape(16U, 25U, 11U), 1, DataType::F32, DataLayout::NHWC),
- TensorInfo(TensorShape(24U, 32U, 11U), 1, DataType::QASYMM8, DataLayout::NHWC),
- TensorInfo(TensorShape(24U, 32U, 11U), 1, DataType::QASYMM8_SIGNED, DataLayout::NHWC),
- TensorInfo(TensorShape(24U, 32U, 11U), 1, DataType::QSYMM16, DataLayout::NHWC),
- TensorInfo(TensorShape(24U, 32U, 11U), 1, DataType::QSYMM8, DataLayout::NHWC),
- TensorInfo(TensorShape(24U, 32U, 11U), 1, DataType::QSYMM8_PER_CHANNEL, DataLayout::NHWC),
- TensorInfo(TensorShape(24U, 32U, 11U), 1, DataType::QASYMM16, DataLayout::NHWC),
- TensorInfo(TensorShape(24U, 32U, 11U), 1, DataType::U8, DataLayout::NHWC),
- TensorInfo(TensorShape(24U, 32U, 11U), 1, DataType::S8, DataLayout::NHWC),
- TensorInfo(TensorShape(24U, 32U, 11U), 1, DataType::U16, DataLayout::NHWC),
- TensorInfo(TensorShape(24U, 32U, 11U), 1, DataType::S16, DataLayout::NHWC),
- TensorInfo(TensorShape(24U, 32U, 11U), 1, DataType::U32, DataLayout::NHWC),
- TensorInfo(TensorShape(24U, 32U, 11U), 1, DataType::S32, DataLayout::NHWC),
- TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::F32, DataLayout::NCHW),
- TensorInfo(TensorShape(24U, 32U, 11U, 4U), 1, DataType::F32, DataLayout::NHWC),
- TensorInfo(TensorShape(24U, 32U, 11U, 4U), 1, DataType::F32, DataLayout::NHWC),
- TensorInfo(TensorShape(24U, 33U, 14U, 4U), 1, DataType::F32, DataLayout::NHWC),
- TensorInfo(TensorShape(24U, 17U, 5U, 4U), 1, DataType::F32, DataLayout::NHWC),
- TensorInfo(TensorShape(24U, 15U, 4U, 4U), 1, DataType::F32, DataLayout::NHWC),
- })),
framework::dataset::make("Padding", { Padding2D(0, 0, 0, 0),
Padding2D(0, 0, 0, 0),
Padding2D(0, 0, 0, 0),
@@ -173,8 +139,6 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
Padding2D(0, 0, 0, 0),
Padding2D(0, 0, 0, 0),
Padding2D(0, 0, 0, 0),
- Padding2D(0, 0, 0, 0),
- Padding2D(0, 0, 0, 0),
Padding2D(1, 1, 0, 0),
Padding2D(1, 1, 0, 0),
Padding2D(1, 1, 0, 0),
@@ -217,8 +181,6 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
Size2D(1, 1),
Size2D(1, 1),
Size2D(1, 1),
- Size2D(1, 1),
- Size2D(1, 1),
Size2D(2, 3),
Size2D(2, 3),
})),
@@ -227,8 +189,6 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
3,
1,
1,
- 1,
- 2,
2,
2,
3,
@@ -255,8 +215,6 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
Size2D(1U, 1U),
Size2D(1U, 1U),
Size2D(1U, 1U),
- Size2D(1U, 1U),
- Size2D(20U, 1U),
Size2D(0U, 1U),
Size2D(1U, 1U),
Size2D(1U, 1U),
@@ -278,10 +236,10 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
Size2D(1U, 1U),
Size2D(2U, 3U),
})),
- framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, true, false,
+ framework::dataset::make("Expected", { false, false, false, false, false, false, true, false,
false, false, false, false, false, false, false, false, false, false,
false, false, true, false, true, true, true })),
- input_info, weights_info, biases_info, output_info, padding, stride, depth_multiplier, dilation, expected)
+ input_info, weights_info, biases_info, padding, stride, depth_multiplier, dilation, expected)
{
CLCompileContext cl_compile_ctx = CLKernelLibrary::get().get_compile_context();
GpuWorkloadContext gpu_ctx = GpuWorkloadContext{ &cl_compile_ctx };
@@ -290,7 +248,6 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
const TensorInfo sketch_input_info = sketch.create_tensor_info(input_info);
const TensorInfo sketch_weights_info = sketch.create_tensor_info(weights_info);
const TensorInfo sketch_biases_info = sketch.create_tensor_info(biases_info);
- const TensorInfo sketch_output_info = sketch.create_tensor_info(output_info);
DepthwiseConv2dAttributes attributes {};
attributes.pad(padding)
@@ -298,7 +255,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
.dilation(dilation)
.depth_multiplier(depth_multiplier);
- const Status status = GpuDepthwiseConv2d::validate_op(sketch, &sketch_input_info, &sketch_weights_info, &sketch_biases_info, &sketch_output_info, attributes);
+ const Status status = GpuDepthwiseConv2d::validate_op(sketch, &sketch_input_info, &sketch_weights_info, &sketch_biases_info, attributes);
const bool res = bool(status);
ARM_COMPUTE_EXPECT(res == expected, framework::LogLevel::ERRORS);
}
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-23 10:35:48 +0000