aboutsummaryrefslogtreecommitdiff
path: root/tests
diff options
context:
space:
mode:
Diffstat (limited to 'tests')
-rw-r--r--tests/CL/Helper.h9
-rw-r--r--tests/validation/CL/Im2Col.cpp143
-rw-r--r--tests/validation/NEON/Im2Col.cpp25
-rw-r--r--tests/validation/fixtures/Im2ColFixture.h3
-rw-r--r--tests/validation/reference/Im2Col.cpp17
5 files changed, 188 insertions, 9 deletions
diff --git a/tests/CL/Helper.h b/tests/CL/Helper.h
index 30fbe568f4..32f9ca00e3 100644
--- a/tests/CL/Helper.h
+++ b/tests/CL/Helper.h
@@ -47,6 +47,15 @@ public:
k->configure(std::forward<Args>(args)...);
_kernel = std::move(k);
}
+ /** Validate input arguments
+ *
+ * @param[in] args Configuration arguments.
+ */
+ template <typename... Args>
+ static Status validate(Args &&... args)
+ {
+ return K::validate(std::forward<Args>(args)...);
+ }
};
/** As above but this also setups a Zero border on the input tensor of the specified bordersize */
diff --git a/tests/validation/CL/Im2Col.cpp b/tests/validation/CL/Im2Col.cpp
new file mode 100644
index 0000000000..bfe0665fa9
--- /dev/null
+++ b/tests/validation/CL/Im2Col.cpp
@@ -0,0 +1,143 @@
+/*
+ * Copyright (c) 2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "arm_compute/core/CL/kernels/CLIm2ColKernel.h"
+#include "arm_compute/core/Types.h"
+#include "tests/CL/Helper.h"
+
+#include "tests/CL/CLAccessor.h"
+#include "tests/datasets/ShapeDatasets.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/Im2ColFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+const auto conv_filter_sizes = framework::dataset::make("KernelDims", { Size2D(3U, 3U), Size2D(3U, 1U), Size2D(1U, 5U), Size2D(5U, 5U), Size2D(7U, 7U) });
+const auto padstrides = framework::dataset::make("PadStride", { PadStrideInfo(1U, 1U, 0U, 0U), PadStrideInfo(1U, 1U, 1U, 1U), PadStrideInfo(2U, 2U, 0U, 2U) });
+const auto conv_args = combine(combine(combine(conv_filter_sizes, padstrides),
+ framework::dataset::make("QuantizationInfo", QuantizationInfo(0.5f, 10))),
+ framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }));
+
+} // namespace
+TEST_SUITE(CL)
+TEST_SUITE(Im2Col)
+
+using CLIm2Col = CLSynthetizeFunction<CLIm2ColKernel>;
+
+// *INDENT-OFF*
+// clang-format off
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
+ framework::dataset::make("InputInfo", { TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::U8), // Unsupported data type
+ TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::F32), // Mismatching data type
+ TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QS8, 2), // Mismatching fixed point
+ TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), // Bias not supported with QASYMM8
+ TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), // Mismatching shapes
+ TensorInfo(TensorShape(10U, 12U, 2U, 2U), 1, DataType::QASYMM8),
+ }),
+ framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16),
+ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16),
+ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::QS8, 3),
+ TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::QASYMM8),
+ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::QASYMM8),
+ TensorInfo(TensorShape(18U, 80U, 1U, 2U), 1, DataType::QASYMM8),
+ })),
+ framework::dataset::make("HasBias", { true, true, true, true, false, false })),
+ framework::dataset::make("Expected", { false, false, false, false, true, true })),
+ input_info, output_info, has_bias, expected)
+{
+
+ bool status = bool(CLIm2Col::validate(&input_info, &output_info, Size2D(3U, 3U), PadStrideInfo(), has_bias));
+ ARM_COMPUTE_EXPECT(status == expected, framework::LogLevel::ERRORS);
+}
+// clang-format on
+// *INDENT-ON*
+
+template <typename T>
+using CLIm2ColFixture = Im2ColValidationFixture<CLTensor, CLAccessor, CLIm2Col, T>;
+TEST_SUITE(Float)
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)),
+ conv_args))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END()
+
+FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F32)),
+ conv_args))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference);
+}
+
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture<half>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16)),
+ conv_args))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F16)),
+ conv_args))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END()
+
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
+
+TEST_SUITE_END()
+
+TEST_SUITE(QASYMM8)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::QASYMM8)),
+ conv_args))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::QASYMM8)),
+ conv_args))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END()
+
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/NEON/Im2Col.cpp b/tests/validation/NEON/Im2Col.cpp
index 50081f07b0..3a45fa7ae4 100644
--- a/tests/validation/NEON/Im2Col.cpp
+++ b/tests/validation/NEON/Im2Col.cpp
@@ -39,9 +39,10 @@ namespace validation
{
namespace
{
-const auto conv_args = combine(combine(combine(framework::dataset::make("KernelDims", { Size2D(3U, 3U), Size2D(5U, 5U) }), framework::dataset::make("PadStride", { PadStrideInfo(1U, 1U, 0U, 0U), PadStrideInfo(1U, 1U, 1U, 1U), PadStrideInfo(2U, 2U, 0U, 2U) })),
- framework::dataset::make("QuantizationInfo", QuantizationInfo(0.5f, 10))),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }));
+const auto conv_filter_sizes = framework::dataset::make("KernelDims", { Size2D(3U, 3U), Size2D(3U, 1U), Size2D(1U, 5U), Size2D(5U, 5U), Size2D(7U, 7U) });
+const auto conv_args = combine(combine(combine(conv_filter_sizes, framework::dataset::make("PadStride", { PadStrideInfo(1U, 1U, 0U, 0U), PadStrideInfo(1U, 1U, 1U, 1U), PadStrideInfo(2U, 2U, 0U, 2U) })),
+ framework::dataset::make("QuantizationInfo", QuantizationInfo(0.5f, 10))),
+ framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }));
} // namespace
TEST_SUITE(NEON)
TEST_SUITE(Im2Col)
@@ -84,6 +85,12 @@ FIXTURE_DATA_TEST_CASE(RunSmall, NEIm2ColFixture<float>, framework::DatasetMode:
// Validate output
validate(Accessor(_target), _reference);
}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEIm2ColFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F32)),
+ conv_args))
+{
+ // Validate output
+ validate(Accessor(_target), _reference);
+}
TEST_SUITE_END()
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
@@ -95,6 +102,12 @@ FIXTURE_DATA_TEST_CASE(RunSmall, NEIm2ColFixture<half>, framework::DatasetMode::
// Validate output
validate(Accessor(_target), _reference);
}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEIm2ColFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F16)),
+ conv_args))
+{
+ // Validate output
+ validate(Accessor(_target), _reference);
+}
TEST_SUITE_END()
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
@@ -108,6 +121,12 @@ FIXTURE_DATA_TEST_CASE(RunSmall, NEIm2ColFixture<uint8_t>, framework::DatasetMod
// Validate output
validate(Accessor(_target), _reference);
}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEIm2ColFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::QASYMM8)),
+ conv_args))
+{
+ // Validate output
+ validate(Accessor(_target), _reference);
+}
TEST_SUITE_END()
TEST_SUITE_END()
diff --git a/tests/validation/fixtures/Im2ColFixture.h b/tests/validation/fixtures/Im2ColFixture.h
index 7ef3cdcdcd..6e532e7803 100644
--- a/tests/validation/fixtures/Im2ColFixture.h
+++ b/tests/validation/fixtures/Im2ColFixture.h
@@ -66,8 +66,7 @@ public:
input_info.set_data_layout(_data_layout);
const TensorShape output_shape = compute_im2col_conv_shape(&input_info, _kernel_dims, _conv_info, _has_bias, Size2D(1U, 1U));
-
- _target = compute_target(input_shape, output_shape, data_type);
+ _target = compute_target(input_shape, output_shape, data_type);
compute_reference(input_shape, output_shape, data_type);
}
diff --git a/tests/validation/reference/Im2Col.cpp b/tests/validation/reference/Im2Col.cpp
index 5685b60026..83ef8b40a5 100644
--- a/tests/validation/reference/Im2Col.cpp
+++ b/tests/validation/reference/Im2Col.cpp
@@ -55,11 +55,16 @@ void im2col_nchw(const SimpleTensor<T> &src, SimpleTensor<T> &dst, const Size2D
const int pad_val = is_data_type_quantized_asymmetric(src.data_type()) ? src.quantization_info().offset : 0;
int dst_idx = 0;
+ // dst[dst_idx++] will write out of bounds if kernel_height == kernel_width == 1 because lasty will be the bottom padding row
+ // and this is not present in the dst buffer
+ const int lasty = src_height + (kernel_height > 1 ? pad_y : 0) - kernel_height;
+ const int lastx = src_width + (kernel_width > 1 ? pad_x : 0) - kernel_width;
+
for(int b = 0; b < batches; ++b)
{
- for(int y = -pad_y; y <= (src_height + pad_y - kernel_height); y += stride_y)
+ for(int y = -pad_y; y <= lasty; y += stride_y)
{
- for(int x = -pad_x; x <= (src_width + pad_x - kernel_width); x += stride_x)
+ for(int x = -pad_x; x <= lastx; x += stride_x)
{
for(int z = 0; z < src_depth; ++z)
{
@@ -97,11 +102,15 @@ void im2col_nhwc(const SimpleTensor<T> &src, SimpleTensor<T> &dst, const Size2D
const int batches = src.shape().total_size_upper(3);
const int pad_val = is_data_type_quantized_asymmetric(src.data_type()) ? src.quantization_info().offset : 0;
int dst_idx = 0;
+
+ const int lasty = src_height + (kernel_height > 1 ? pad_y : 0) - kernel_height;
+ const int lastx = src_width + (kernel_width > 1 ? pad_x : 0) - kernel_width;
+
for(int b = 0; b < batches; ++b)
{
- for(int y = -pad_y; y <= (src_height + pad_y - kernel_height); y += stride_y)
+ for(int y = -pad_y; y <= lasty; y += stride_y)
{
- for(int x = -pad_x; x <= (src_width + pad_x - kernel_width); x += stride_x)
+ for(int x = -pad_x; x <= lastx; x += stride_x)
{
for(int z = 0; z < src_depth; ++z)
{