Compute Library
 21.02
Im2Col.cpp
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24 #include "arm_compute/core/Types.h"
26 #include "tests/NEON/Accessor.h"
27 #include "tests/NEON/Helper.h"
28 #include "tests/datasets/ShapeDatasets.h"
30 #include "tests/framework/Macros.h"
33 #include "tests/validation/fixtures/Im2ColFixture.h"
34 
35 namespace arm_compute
36 {
37 namespace test
38 {
39 namespace validation
40 {
41 namespace
42 {
43 const auto im2col_shapes = framework::dataset::make("Shape", { TensorShape{ 11U, 11U, 11U }, TensorShape{ 16U, 16U, 16U }, TensorShape{ 27U, 13U, 7U }, TensorShape{ 31U, 27U, 17U, 2U }, TensorShape{ 27U, 13U, 5U, 4U }, TensorShape{ 11U, 11U, 5U, 5U } });
44 
45 const auto conv_filter_sizes = framework::dataset::make("KernelDims", { Size2D(3U, 3U), Size2D(3U, 1U), Size2D(1U, 5U), Size2D(5U, 5U), Size2D(7U, 7U) });
46 const auto conv_args = combine(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) })),
47  framework::dataset::make("QuantizationInfo", QuantizationInfo(0.5f, 10))),
49  framework::dataset::make("NumGroups", { 1 }));
50 
51 const auto conv_filter_sizes_small = framework::dataset::make("KernelDims", { Size2D(3U, 3U), Size2D(3U, 1U), Size2D(1U, 5U) });
52 const auto conv_args_small = combine(combine(combine(combine(conv_filter_sizes_small, framework::dataset::make("PadStride", { PadStrideInfo(1U, 1U, 0U, 0U), PadStrideInfo(1U, 1U, 1U, 1U) })),
53  framework::dataset::make("QuantizationInfo", QuantizationInfo(0.5f, 10))),
55  framework::dataset::make("NumGroups", { 1 }));
56 } // namespace
57 TEST_SUITE(NEON)
58 TEST_SUITE(Im2Col)
59 
61 
62 // *INDENT-OFF*
63 // clang-format off
64 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
65  framework::dataset::make("InputInfo", { TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::U8), // Unsupported data type
66  TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::F32), // Mismatching data type
67  TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), // Bias not supported with QASYMM8
68  TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), // Mismatching shapes
69  TensorInfo(TensorShape(10U, 12U, 2U, 2U), 1, DataType::QASYMM8),
70  }),
71  framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16),
72  TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16),
75  TensorInfo(TensorShape(18U, 80U, 1U, 2U), 1, DataType::QASYMM8),
76  })),
77  framework::dataset::make("HasBias", { true, true, true, false, false })),
78  framework::dataset::make("Expected", { false, false, false, false, true })),
80 {
81  bool status = bool(NEIm2Col::validate(&input_info, &output_info, Size2D(3U, 3U), PadStrideInfo(), has_bias));
83 }
84 // clang-format on
85 // *INDENT-ON*
86 
87 template <typename T>
88 using NEIm2ColFixture = Im2ColValidationFixture<Tensor, Accessor, NEIm2Col, T, false>;
89 
90 TEST_SUITE(Float)
91 TEST_SUITE(FP32)
92 FIXTURE_DATA_TEST_CASE(RunSmall, NEIm2ColFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(im2col_shapes, framework::dataset::make("DataType", DataType::F32)),
93  conv_args_small))
94 {
95  // Validate output
96  validate(Accessor(_target), _reference);
97 }
99  DataType::F32)),
100  conv_args))
101 {
102  // Validate output
103  validate(Accessor(_target), _reference);
104 }
105 TEST_SUITE_END() // FP32
106 
107 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
108 
109 TEST_SUITE(FP16)
111  conv_args_small))
112 {
113  // Validate output
114  validate(Accessor(_target), _reference);
115 }
117  DataType::F16)),
118  conv_args))
119 {
120  // Validate output
121  validate(Accessor(_target), _reference);
122 }
123 TEST_SUITE_END() // FP16
124 
125 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
126 
127 TEST_SUITE_END() // Float
128 
130 FIXTURE_DATA_TEST_CASE(RunSmall, NEIm2ColFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(im2col_shapes, framework::dataset::make("DataType", DataType::QASYMM8)),
131  conv_args_small))
132 {
133  // Validate output
134  validate(Accessor(_target), _reference);
135 }
138  conv_args))
139 {
140  // Validate output
141  validate(Accessor(_target), _reference);
142 }
143 TEST_SUITE_END() // QASYMM8
144 
145 TEST_SUITE(SpecialCases)
147 {
148  // Const data
149  const TensorShape src_shape = TensorShape(7U, 27U, 13U);
152  const bool has_bias = false;
153  const unsigned int num_groups = 1;
154  const Size2D spatial_kernel(3, 3);
156  const PadStrideInfo conv_info(1U, 1U, 0U, 0U);
157 
158  // Calculate destination shape
159  TensorInfo src_info(src_shape, 1, data_type);
160  src_info.set_data_layout(data_layout);
161  const TensorShape dst_shape = compute_im2col_conv_shape(&src_info, spatial_kernel, conv_info, has_bias, Size2D(1U, 1U), false, num_groups);
162 
163  // Compute target
164  Tensor src_target = create_tensor<Tensor>(src_shape, data_type, 1, qinfo, data_layout);
165  Tensor dst_target = create_tensor<Tensor>(dst_shape, data_type, 1, qinfo);
166 
167  // Configure target function
169  im2col_func.configure(&src_target, &dst_target, spatial_kernel, conv_info, has_bias);
170 
171  // Extend padding
172  src_target.info()->extend_padding(PaddingSize(3, 5, 9, 1));
173  dst_target.info()->extend_padding(PaddingSize(8, 1, 1, 3));
174 
175  // Validate and allocate tensors
178 
179  src_target.allocator()->allocate();
180  dst_target.allocator()->allocate();
181 
184 
185  // Fill target source
186  library->fill_tensor_uniform(Accessor(src_target), 0);
187 
188  // Run target function
189  im2col_func.run();
190 
191  // Calculate Reference
192  SimpleTensor<float> src_ref{ src_shape, data_type, 1, qinfo, data_layout };
194 
195  // Fill reference source
196  library->fill_tensor_uniform(src_ref, 0);
197 
198 #ifndef DOXYGEN_SKIP_THIS
199  // Run reference function
200  reference::im2col(src_ref, dst_ref, spatial_kernel, conv_info, has_bias, num_groups);
201 #endif // DOXYGEN_SKIP_THIS
202 
203  // Validate
204  validate(Accessor(dst_target), dst_ref);
205 }
206 TEST_SUITE_END() // Special Cases
207 TEST_SUITE_END() // Im2Col
208 TEST_SUITE_END() // Neon
209 } // namespace validation
210 } // namespace test
211 } // namespace arm_compute
void configure(Args &&... args)
Configure the kernel.
Definition: Helper.h:65
Shape of a tensor.
Definition: TensorShape.h:39
void run() override final
Run the kernels contained in the function.
1 channel, 1 U8 per channel
Interface for the im2col reshape kernel.
1 channel, 1 F32 per channel
ARM_COMPUTE_EXPECT(has_error==expected, framework::LogLevel::ERRORS)
static Status validate(Args &&... args)
Validate input arguments.
Definition: Helper.h:76
const DataLayout data_layout
Definition: Im2Col.cpp:151
std::enable_if< is_container< T >::value, ContainerDataset< T > >::type make(std::string name, T &&values)
Helper function to create a ContainerDataset.
const Size2D spatial_kernel(3, 3)
Copyright (c) 2017-2021 Arm Limited.
1 channel, 1 F16 per channel
void im2col(const SimpleTensor< T > &src, SimpleTensor< T > &dst, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, unsigned int num_groups)
Definition: Im2Col.cpp:144
TensorAllocator * allocator()
Return a pointer to the tensor&#39;s allocator.
Definition: Tensor.cpp:48
ITensorInfo * info() const override
Interface to be implemented by the child class to return the tensor&#39;s metadata.
Definition: Tensor.cpp:33
Im2ColValidationFixture< Tensor, Accessor, NEIm2Col, T, false > NEIm2ColFixture
Definition: Im2Col.cpp:88
virtual bool is_resizable() const =0
Flag indicating whether the size of the tensor can be changed.
const DataType data_type
Definition: Im2Col.cpp:150
Quantization information.
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16, QuantizationInfo(1.f/32768.f, 0)), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16, QuantizationInfo(1.f/32768.f, 0)), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16, QuantizationInfo(1.f/32768.f, 0)), })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::SQRT), })), framework::dataset::make("Expected", { false, true, true, true, false, false, true, true, false })), input_info, output_info, act_info, expected)
Accessor implementation for Tensor objects.
Definition: Accessor.h:35
DatasetMode
Possible dataset modes.
Definition: DatasetModes.h:40
ITensorInfo & set_data_layout(const DataLayout &data_layout) override
Set the data layout of the tensor.
Definition: TensorInfo.cpp:386
std::unique_ptr< AssetsLibrary > library
Definition: main.cpp:78
TEST_SUITE_END() FIXTURE_DATA_TEST_CASE(RunSmall
[CLActivationLayer Test snippet]
quantized, asymmetric fixed-point 8-bit number unsigned
const unsigned int num_groups
Definition: Im2Col.cpp:153
void allocate() override
Allocate size specified by TensorInfo of CPU memory.
Basic implementation of the tensor interface.
Definition: Tensor.h:37
TEST_SUITE(U8_to_S8) FIXTURE_DATA_TEST_CASE(RunSmall
Padding and stride information class.
Definition: Types.h:722
validate(CLAccessor(output_state), expected_output)
BorderSize PaddingSize
Container for 2D padding size.
Definition: Types.h:382
SimpleTensor< float > src_ref
Definition: Im2Col.cpp:192
Num samples, channels, height, width.
TensorInfo src_info(src_shape, 1, data_type)
FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsLayerFixture< half >, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16)))
Definition: AbsLayer.cpp:50
Simple tensor object that stores elements in a consecutive chunk of memory.
Definition: SimpleTensor.h:58
This template synthetizes an INESimpleFunction which runs the given kernel K.
Definition: Helper.h:57
Class for specifying the size of an image or rectangle.
Definition: Size2D.h:34
const QuantizationInfo qinfo
Definition: Im2Col.cpp:155
Num samples, height, width, channels.
Store the tensor&#39;s metadata.
Definition: TensorInfo.h:45
JoinDataset< T, U > concat(T &&dataset1, U &&dataset2)
Helper function to create a JoinDataset.
Definition: JoinDataset.h:160
TEST_CASE(FusedActivation, framework::DatasetMode::ALL)
Validate fused activation expecting the following behaviours:
zip(zip(framework::dataset::make("Weights", { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 1U), 1, DataType::F32), }), framework::dataset::make("MVBGInfo",{ TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(5U), 1, DataType::F32), })), framework::dataset::make("Expected", { true, false, false}))
DataType
Available data types.
Definition: Types.h:77
DataLayout
[DataLayout enum definition]
Definition: Types.h:120
virtual bool extend_padding(const PaddingSize &padding)=0
Update the offset to the first element, the strides and the total size.
TensorShape compute_im2col_conv_shape(const ITensorInfo *input, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, const Size2D &dilation, bool batch_size_on_z, unsigned int num_groups=1)
Calculate the im2col output shape of a tensor.
combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)))
Definition: AbsLayer.cpp:65