37 uint32_t last_padding_dimension(
const PaddingList &padding)
39 int last_padding_dim = padding.size() - 1;
40 for(; last_padding_dim >= 0; --last_padding_dim)
42 if(padding[last_padding_dim].first > 0 || padding[last_padding_dim].second > 0)
47 return static_cast<uint32_t
>(last_padding_dim);
54 : _copy_function(), _pad_kernel(), _mode(), _padding(), _num_dimensions(0), _slice_functions(), _concat_functions(), _slice_results(), _concat_results()
60 _pad_kernel = std::make_unique<NEPadLayerKernel>();
64 void NEPadLayer::configure_reflect_symmetric_mode(
ITensor *input,
ITensor *output)
76 _slice_functions.resize(2 * _num_dimensions);
77 _slice_results.resize(2 * _num_dimensions);
78 _concat_functions.resize(_num_dimensions);
79 _concat_results.resize(_num_dimensions - 1);
87 for(uint32_t i = 0; i < _num_dimensions; ++i)
92 strides.set(i - 1, 1);
95 if(_padding[i].first > 0 || _padding[i].second > 0)
102 starts_before.set(i, _padding[i].first);
103 ends_before.set(i, 0);
105 ends_after.set(i, input->
info()->
dimension(i) - _padding[i].second - 2);
110 starts_before.set(i, _padding[i].first - 1);
111 ends_before.set(i, -1);
113 ends_after.set(i, input->
info()->
dimension(i) - _padding[i].second - 1);
119 const int32_t begin_mask_before = starts_before[i] < 0 ? ~0 : ~(1u << i);
120 const int32_t end_mask_before = ends_before[i] < 0 ? ~0 : ~(1u << i);
121 const int32_t begin_mask_after = starts_after[i] < 0 ? ~0 : ~(1u << i);
122 const int32_t end_mask_after = ends_after[i] < 0 ? ~0 : ~(1u << i);
125 std::vector<const ITensor *> concat_vector;
126 if(_padding[i].first > 0)
128 if(i < prev->
info()->num_dimensions())
130 _slice_functions[2 * i].configure(prev, &_slice_results[2 * i], starts_before, ends_before, strides, begin_mask_before, end_mask_before);
131 concat_vector.emplace_back(&_slice_results[2 * i]);
136 concat_vector.push_back(prev);
139 concat_vector.push_back(prev);
140 if(_padding[i].second > 0)
142 if(i < prev->
info()->num_dimensions())
144 _slice_functions[2 * i + 1].configure(prev, &_slice_results[2 * i + 1], starts_after, ends_after, strides, begin_mask_after, end_mask_after);
145 concat_vector.emplace_back(&_slice_results[2 * i + 1]);
150 concat_vector.push_back(prev);
154 ITensor *out = (i == _num_dimensions - 1) ? output : &_concat_results[i];
155 _concat_functions[i].configure(concat_vector, out, i);
156 if(i != _num_dimensions - 1)
158 _concat_results[i].allocator()->allocate();
162 _slice_results[2 * i].allocator()->allocate();
163 _slice_results[2 * i + 1].allocator()->allocate();
179 _num_dimensions = last_padding_dimension(padding) + 1;
180 if(_num_dimensions > 0)
186 configure_constant_mode(input, output, padding, constant_value);
192 configure_reflect_symmetric_mode(input, output);
227 for(uint32_t i = 0; i < padding.size(); ++i)
252 if(_num_dimensions > 0)
264 for(uint32_t i = 0; i < _num_dimensions; ++i)
266 if(_padding[i].first > 0 || _padding[i].second > 0)
268 if(_padding[i].first > 0 && _slice_results[2 * i].
info()->total_size() > 0)
270 _slice_functions[2 * i].run();
272 if(_padding[i].second > 0 && _slice_results[2 * i + 1].
info()->total_size() > 0)
274 _slice_functions[2 * i + 1].run();
276 _concat_functions[i].run();
287 _copy_function.
run();
Class describing the value of a pixel for any image format.
virtual size_t dimension(size_t index) const =0
Return the size of the requested dimension.
std::vector< PaddingInfo > PaddingList
List of padding information.
#define ARM_COMPUTE_ERROR(msg)
Print the given message then throw an std::runtime_error.
Store the tensor's metadata.
#define ARM_COMPUTE_ERROR_THROW_ON(status)
#define ARM_COMPUTE_RETURN_ERROR_ON(cond)
If the condition is true, an error is returned.
Interface for Neon tensor.
#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(...)
Copyright (c) 2017-2021 Arm Limited.
#define ARM_COMPUTE_UNUSED(...)
To avoid unused variables warnings.
virtual const TensorShape & tensor_shape() const =0
Size for each dimension of the tensor.
PaddingMode
Padding mode to use for PadLayer.
static Status validate(const ITensorInfo *input, const ITensorInfo *output, const PaddingList &padding, const PixelValue constant_value=PixelValue(), const PaddingMode mode=PaddingMode::CONSTANT)
Static function to check if given info will lead to a valid configuration of NEPadLayer.
~NEPadLayer()
Default destructor.
bool auto_init_if_empty(ITensorInfo &info, const TensorShape &shape, int num_channels, DataType data_type, QuantizationInfo quantization_info=QuantizationInfo())
Auto initialize the tensor info (shape, number of channels and data type) if the current assignment i...
virtual std::unique_ptr< T > clone() const =0
Provide a clone of the current object of class T.
virtual ITensorInfo * info() const =0
Interface to be implemented by the child class to return the tensor's metadata.
TensorShape compute_padded_shape(const TensorShape &input_shape, const PaddingList &padding)
Calculate the padded shape of a tensor.
static Status validate(const ITensorInfo *input, const ITensorInfo *output, const PaddingList &padding, const PixelValue constant_value=PixelValue(), const PaddingMode mode=PaddingMode::CONSTANT)
Static function to check if given info will lead to a valid configuration of NEPadLayer.
NEPadLayer()
Default Constructor.
ScaleKernelInfo info(interpolation_policy, default_border_mode, PixelValue(), sampling_policy, false)
virtual size_t total_size() const =0
Returns the total size of the tensor in bytes.
virtual void schedule(ICPPKernel *kernel, const Hints &hints)=0
Runs the kernel in the same thread as the caller synchronously.
static constexpr size_t DimZ
Alias for dimension 2 also known as Z dimension.
#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(...)
void run() override
Run the kernels contained in the function.
void run() override
Run the kernels contained in the function.
void configure(ITensor *input, ITensor *output, const PaddingList &padding, const PixelValue constant_value=PixelValue(), const PaddingMode mode=PaddingMode::CONSTANT)
Initialize the function.
void configure(ITensor *input, ITensor *output)
Initialise the function's source and destination.
static IScheduler & get()
Access the scheduler singleton.