COMPMID-1844: Implement CLCrop
Change-Id: I8822c37adc45960705dc3f32a53214795ba3cf39
Signed-off-by: George Wort <george.wort@arm.com>
Reviewed-on: https://review.mlplatform.org/c/789
Reviewed-by: Manuel Bottini <manuel.bottini@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Pablo Marquez <pablo.tello@arm.com>
diff --git a/src/core/CL/CLKernelLibrary.cpp b/src/core/CL/CLKernelLibrary.cpp
index b7973ef..5af8a09 100644
--- a/src/core/CL/CLKernelLibrary.cpp
+++ b/src/core/CL/CLKernelLibrary.cpp
@@ -212,6 +212,7 @@
{ "copy_plane", "channel_extract.cl" },
{ "copy_planes_3p", "channel_combine.cl" },
{ "copy_to_keypoint", "fast_corners.cl" },
+ { "crop_tensor", "crop_tensor.cl" },
{ "deconvolution_upsample", "deconvolution_layer.cl" },
{ "depthwise_convolution_3x3", "depthwise_convolution.cl" },
{ "depthwise_convolution_3x3_f16", "depthwise_convolution.cl" },
@@ -609,6 +610,10 @@
#include "./cl_kernels/copy_tensor.clembed"
},
{
+ "crop_tensor.cl",
+#include "./cl_kernels/crop_tensor.clembed"
+ },
+ {
"upsample_layer.cl",
#include "./cl_kernels/upsample_layer.clembed"
},
diff --git a/src/core/CL/cl_kernels/copy_tensor.cl b/src/core/CL/cl_kernels/copy_tensor.cl
index 4bbbf11..f4366b8 100644
--- a/src/core/CL/cl_kernels/copy_tensor.cl
+++ b/src/core/CL/cl_kernels/copy_tensor.cl
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018 ARM Limited.
+ * Copyright (c) 2018-2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -77,6 +77,7 @@
}
#endif // Compile time constants
+#if defined(DATA_TYPE)
/** Performs a copy of input tensor to the output tensor.
*
* @param[in] in_ptr Pointer to the source tensor. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
@@ -103,6 +104,16 @@
Tensor3D in = CONVERT_TO_TENSOR3D_STRUCT(in);
Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(out);
+#if defined(VEC_SIZE)
+
+#if defined(LAST_ACCESSED_X)
+ // Check if access on width gets out of bounds
+ // If it does then shift access vector to access elements within bounds
+ const int shift = max((int)(get_global_id(0) * VEC_SIZE) - (int)LAST_ACCESSED_X, 0);
+ in.ptr -= shift * in.stride_x;
+ out.ptr -= shift * out.stride_x;
+#endif // defined(LAST_ACCESSED_X)
+
// Load data
VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)
data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)in.ptr);
@@ -110,4 +121,8 @@
// Store result
VSTORE(VEC_SIZE)
(data, 0, (__global DATA_TYPE *)out.ptr);
+#else // defined(VEC_SIZE)
+ *((__global DATA_TYPE *)(out.ptr)) = *((__global DATA_TYPE *)(in.ptr));
+#endif // defined(VEC_SIZE)
}
+#endif // defined(DATA_TYPE)
\ No newline at end of file
diff --git a/src/core/CL/cl_kernels/crop_tensor.cl b/src/core/CL/cl_kernels/crop_tensor.cl
new file mode 100644
index 0000000..55f8544
--- /dev/null
+++ b/src/core/CL/cl_kernels/crop_tensor.cl
@@ -0,0 +1,96 @@
+/*
+ * Copyright (c) 2019 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 "helpers.h"
+
+#if defined(DATA_TYPE) // Compile time constants
+
+/** Performs a copy of input tensor to the output tensor.
+ *
+ * @param[in] in_ptr Pointer to the source tensor. Supported data types: U16/S16/F16/U32/S32/F32
+ * @param[in] in_stride_x Stride of the source tensor in X dimension (in bytes)
+ * @param[in] in_step_x input_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] in_stride_y Stride of the source tensor in Y dimension (in bytes)
+ * @param[in] in_step_y input_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] in_stride_z Stride of the source tensor in Z dimension (in bytes)
+ * @param[in] in_step_z input_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in] in_offset_first_element_in_bytes The offset of the first element in the source tensor
+ * @param[out] out_ptr Pointer to the destination tensor. Supported data types: same as @p in_ptr
+ * @param[in] out_stride_x Stride of the destination tensor in X dimension (in bytes)
+ * @param[in] out_step_x output_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] out_stride_y Stride of the destination tensor in Y dimension (in bytes)
+ * @param[in] out_step_y output_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] out_stride_z Stride of the source tensor in Z dimension (in bytes)
+ * @param[in] out_step_z output_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in] out_offset_first_element_in_bytes The offset of the first element in the destination tensor
+ * @param[in] in_offset_y The initial offset of the input address along Y.
+ * @param[in] in_offset_z The initial offset of the input address along Z.
+ */
+__kernel void crop_tensor(
+ TENSOR3D_DECLARATION(in),
+ TENSOR3D_DECLARATION(out),
+ int in_offset_y,
+ int in_offset_z)
+{
+ Tensor3D in = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(in);
+ Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(out);
+
+ const int in_x = get_global_id(0) * (in_step_x / in_stride_x);
+
+#if defined(WIDTH_FLIPPED)
+ const int in_y = in_offset_y - get_global_id(1);
+#else // defined(WIDTH_FLIPPED)
+ const int in_y = in_offset_y + get_global_id(1);
+#endif // defined(WIDTH_FLIPPED)
+
+#if defined(HEIGHT_FLIPPED)
+ const int in_z = in_offset_z - get_global_id(2);
+#else // defined(HEIGHT_FLIPPED)
+ const int in_z = in_offset_z + get_global_id(2);
+#endif // defined(HEIGHT_FLIPPED)
+
+#if defined(VEC_SIZE)
+
+#if defined(LAST_ACCESSED_X)
+ // Check if access on width gets out of bounds
+ // If it does then shift access vector to access elements within bounds
+ const int shift = max((int)(get_global_id(0) * VEC_SIZE) - (int)LAST_ACCESSED_X, 0);
+ in.ptr -= shift * in.stride_x;
+ out.ptr -= shift * out.stride_x;
+#endif // defined(LAST_ACCESSED_X)
+
+ __global const uchar *input_addr = tensor3D_offset(&in, in_x, in_y, in_z);
+
+ // Load data
+ VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)
+ data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input_addr);
+
+ // Store result
+ VSTORE(VEC_SIZE)
+ (CONVERT(data, VEC_DATA_TYPE(float, VEC_SIZE)), 0, (__global float *)out.ptr);
+#else // defined(VEC_SIZE)
+ *((__global float *)(out.ptr)) = CONVERT(*((__global DATA_TYPE *)tensor3D_offset(&in, in_x, in_y, in_z)), float);
+#endif // defined(VEC_SIZE)
+}
+
+#endif // defined(DATA_TYPE) && defined(LAST_ACCESSED_X)
\ No newline at end of file
diff --git a/src/core/CL/cl_kernels/memset.cl b/src/core/CL/cl_kernels/memset.cl
index 80b34eb..7d8e0ef 100644
--- a/src/core/CL/cl_kernels/memset.cl
+++ b/src/core/CL/cl_kernels/memset.cl
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018 ARM Limited.
+ * Copyright (c) 2018-2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -41,24 +41,27 @@
* @param[in] value The value used to fill the pages of the tensor
*/
__kernel void memset(
- IMAGE_DECLARATION(tensor))
+ TENSOR3D_DECLARATION(tensor))
{
- Image tensor = CONVERT_TO_IMAGE_STRUCT(tensor);
+ Tensor3D tensor = CONVERT_TO_TENSOR3D_STRUCT(tensor);
-#if defined(VEC_SIZE) && defined(LAST_ACCESSED_X)
+#if defined(VEC_SIZE)
+
+#if defined(LAST_ACCESSED_X)
// Check if access on width gets out of bounds
// If it does shift access vector to access elements within bounds
const int xi = (int)(get_global_id(0) * VEC_SIZE);
tensor.ptr -= max(xi - (int)LAST_ACCESSED_X, 0) * tensor_stride_x;
+#endif // defined(LAST_ACCESSED_X)
VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)
data = (DATA_TYPE)(CONSTANT_VALUE);
VSTORE(VEC_SIZE)
(data, 0, (__global DATA_TYPE *)tensor.ptr);
-#else // !defined(VEC_SIZE) || !defined(LAST_ACCESSED_X)
+#else // !defined(VEC_SIZE)
*((__global DATA_TYPE *)(tensor.ptr)) = (DATA_TYPE)(CONSTANT_VALUE);
-#endif // defined(VEC_SIZE) && defined(LAST_ACCESSED_X)
+#endif // defined(VEC_SIZE)
}
#endif // Check for compile time constants
diff --git a/src/core/CL/kernels/CLCopyKernel.cpp b/src/core/CL/kernels/CLCopyKernel.cpp
index e14e5da..30a0b8f 100644
--- a/src/core/CL/kernels/CLCopyKernel.cpp
+++ b/src/core/CL/kernels/CLCopyKernel.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018 ARM Limited.
+ * Copyright (c) 2018-2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -37,38 +37,58 @@
{
namespace
{
-Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const PaddingList &padding = PaddingList())
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const PaddingList &padding = PaddingList(), Window *output_window = nullptr)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
+ ARM_COMPUTE_ERROR_ON(!padding.empty() && output_window != nullptr);
ARM_COMPUTE_RETURN_ERROR_ON(padding.size() > 4);
// Validate output if initialized
if(output->total_size() != 0)
{
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(misc::shape_calculator::compute_padded_shape(input->tensor_shape(), padding), output->tensor_shape());
+ if(output_window == nullptr)
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(misc::shape_calculator::compute_padded_shape(input->tensor_shape(), padding), output->tensor_shape());
+ }
+ else
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(input->tensor_shape(), output_window->shape());
+ }
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
}
return Status{};
}
-std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, Window *output_window)
{
// Output auto inizialitation if not yet initialized
auto_init_if_empty(*output, *input);
// Configure window
- const unsigned int num_elems_processed_per_iteration = 16 / input->element_size();
+ const unsigned int vec_size_x = 16 / input->element_size();
- Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration));
+ if(output_window == nullptr)
+ {
+ // Create and update the window (if needed)
+ Window win = calculate_max_window(*input, Steps(vec_size_x));
- AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration);
- AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration);
+ AccessWindowHorizontal input_access(input, 0, vec_size_x);
+ AccessWindowHorizontal output_access(output, 0, vec_size_x);
- bool window_changed = update_window_and_padding(win, input_access, output_access);
+ bool window_changed = update_window_and_padding(win, input_access, output_access);
- Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
- return std::make_pair(err, win);
+ Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
+ return std::make_pair(err, win);
+ }
+ else
+ {
+ Window win = calculate_max_window(*input);
+ return std::make_pair(Status{}, win);
+ }
}
std::pair<Status, Window> validate_and_configure_window_with_padding(ITensorInfo *input, ITensorInfo *output, const PaddingList &padding)
@@ -131,14 +151,14 @@
} // namespace
CLCopyKernel::CLCopyKernel()
- : _input(nullptr), _output(nullptr)
+ : _input(nullptr), _output(nullptr), _output_window(), _has_output_window(false)
{
}
-void CLCopyKernel::configure(const ICLTensor *input, ICLTensor *output, const PaddingList &padding)
+void CLCopyKernel::configure(const ICLTensor *input, ICLTensor *output, const PaddingList &padding, Window *output_window)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
- ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), padding));
+ ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), padding, output_window));
_input = input;
_output = output;
@@ -147,21 +167,44 @@
CLBuildOptions build_opts;
build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
- const unsigned int num_elems_processed_per_iteration = 16 / input->info()->element_size();
- build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration));
-
std::pair<Status, Window> win_config;
+ const unsigned int vec_size_x = 16 / input->info()->element_size();
+
if(padding.empty())
{
+ // Configure window
+ win_config = validate_and_configure_window(input->info(), output->info(), output_window);
+
+ if(output_window != nullptr)
+ {
+ _has_output_window = true;
+ _output_window = Window(*output_window);
+ const int width_x = output_window->num_iterations(0);
+ const bool multi_access_x = width_x >= static_cast<int32_t>(vec_size_x);
+ const bool remainder_x = width_x % vec_size_x > 0;
+
+ if(multi_access_x)
+ {
+ _output_window.set(Window::DimX, Window::Dimension(output_window->x().start(), ceil_to_multiple(output_window->x().end(), vec_size_x), vec_size_x));
+ win_config.second.set(Window::DimX, Window::Dimension(win_config.second.x().start(), ceil_to_multiple(win_config.second.x().end(), vec_size_x), vec_size_x));
+ }
+
+ build_opts.add_option_if(multi_access_x, "-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x));
+ build_opts.add_option_if(multi_access_x && remainder_x, "-DLAST_ACCESSED_X=" + support::cpp11::to_string(std::max<int>(width_x - vec_size_x, 0)));
+ }
+ else
+ {
+ build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x));
+ }
+
// Build kernel
_kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("copy_tensor", build_opts.options()));
-
- // Configure window
- win_config = validate_and_configure_window(input->info(), output->info());
}
else
{
+ build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x));
+
// Add compile time options
add_padding_as_build_options(padding, build_opts);
@@ -185,13 +228,13 @@
ICLKernel::configure_internal(win_config.second);
}
-Status CLCopyKernel::validate(const arm_compute::ITensorInfo *input, const arm_compute::ITensorInfo *output, const PaddingList &padding)
+Status CLCopyKernel::validate(const arm_compute::ITensorInfo *input, const arm_compute::ITensorInfo *output, const PaddingList &padding, Window *output_window)
{
- ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, padding));
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, padding, output_window));
if(padding.empty())
{
- ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get()).first);
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(), output_window).first);
}
else
{
@@ -206,16 +249,33 @@
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
- Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ);
- Window slice = collapsed.first_slice_window_3D();
+ Window slice;
- do
+ if(_has_output_window)
{
- unsigned int idx = 0;
- add_3D_tensor_argument(idx, _input, slice);
- add_3D_tensor_argument(idx, _output, slice);
- enqueue(queue, *this, slice);
+ slice = window.first_slice_window_3D();
+ Window out_slice = _output_window.first_slice_window_3D();
+ do
+ {
+ unsigned int idx = 0;
+ add_3D_tensor_argument(idx, _input, slice);
+ add_3D_tensor_argument(idx, _output, out_slice);
+ enqueue(queue, *this, slice);
+ }
+ while(window.slide_window_slice_3D(slice) && _output_window.slide_window_slice_3D(out_slice));
}
- while(collapsed.slide_window_slice_3D(slice));
+ else
+ {
+ Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ);
+ slice = collapsed.first_slice_window_3D();
+ do
+ {
+ unsigned int idx = 0;
+ add_3D_tensor_argument(idx, _input, slice);
+ add_3D_tensor_argument(idx, _output, slice);
+ enqueue(queue, *this, slice);
+ }
+ while(collapsed.slide_window_slice_3D(slice));
+ }
}
} // namespace arm_compute
diff --git a/src/core/CL/kernels/CLCropKernel.cpp b/src/core/CL/kernels/CLCropKernel.cpp
new file mode 100644
index 0000000..f8a2456
--- /dev/null
+++ b/src/core/CL/kernels/CLCropKernel.cpp
@@ -0,0 +1,132 @@
+/*
+ * Copyright (c) 2019 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/CLCropKernel.h"
+
+#include "arm_compute/core/CL/CLHelpers.h"
+#include "arm_compute/core/CL/CLKernelLibrary.h"
+#include "arm_compute/core/CL/ICLTensor.h"
+#include "arm_compute/core/CPP/Validate.h"
+#include "arm_compute/core/IAccessWindow.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Window.h"
+
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/helpers/bit_ops.h"
+#include "arm_compute/core/utils/helpers/tensor_transform.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+
+#include <map>
+
+namespace arm_compute
+{
+CLCropKernel::CLCropKernel()
+ : _input(nullptr), _output(nullptr), _start(), _batch_index(0), _extrapolation_value(0)
+{
+}
+
+void CLCropKernel::configure(const ICLTensor *input, ICLTensor *output, Coordinates2D start, Coordinates2D end, uint32_t batch_index, float extrapolation_value, Window *output_window)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+ ARM_COMPUTE_ERROR_THROW_ON(validate(input->info(), output->info(), start, end, batch_index, extrapolation_value, output_window));
+
+ _input = input;
+ _output = output;
+ _start = start;
+ _batch_index = batch_index;
+ _extrapolation_value = extrapolation_value;
+
+ const int vec_size_x = 4;
+ // Create and update the window (if needed)
+ Window win = calculate_max_window(*output->info());
+
+ if(output_window != nullptr)
+ {
+ ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(win, *output_window);
+ win = *output_window;
+ }
+
+ const int output_width_x = win.num_iterations(0);
+ const bool multi_access_x = output_width_x >= vec_size_x;
+ const bool remainder_x = output_width_x % vec_size_x > 0;
+
+ if(multi_access_x)
+ {
+ win.set(Window::DimX,
+ Window::Dimension(win.x().start(), ceil_to_multiple(win.x().end(), vec_size_x), vec_size_x));
+ }
+ ICLKernel::configure_internal(win);
+
+ // Create kernel
+ CLBuildOptions build_opts;
+ build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
+ build_opts.add_option_if(multi_access_x, "-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x));
+ build_opts.add_option_if(multi_access_x && remainder_x, "-DLAST_ACCESSED_X=" + support::cpp11::to_string(std::max<int>(output_width_x - vec_size_x, 0)));
+ build_opts.add_option_if(start.x > end.x, "-DWIDTH_FLIPPED=");
+ build_opts.add_option_if(start.y > end.y, "-DHEIGHT_FLIPPED=");
+ _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("crop_tensor", build_opts.options()));
+}
+
+Status CLCropKernel::validate(const ITensorInfo *input, const ITensorInfo *output, Coordinates2D start, Coordinates2D end, uint32_t batch_index, float extrapolation_value, Window *output_window)
+{
+ ARM_COMPUTE_UNUSED(extrapolation_value, output_window);
+ ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input);
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U16, DataType::S16, DataType::F16, DataType::U32, DataType::S32, DataType::F32);
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_LAYOUT_NOT_IN(input, DataLayout::NHWC);
+ ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape().num_dimensions() > 4);
+ ARM_COMPUTE_RETURN_ERROR_ON(start.x < 0 || start.y < 0 || end.x < 0 || end.y < 0);
+ ARM_COMPUTE_RETURN_ERROR_ON(start.x >= static_cast<int32_t>(input->dimension(1)) || start.y >= static_cast<int32_t>(input->dimension(2))
+ || end.x >= static_cast<int32_t>(input->dimension(1)) || end.y >= static_cast<int32_t>(input->dimension(2)));
+ ARM_COMPUTE_RETURN_ERROR_ON(batch_index >= input->dimension(3));
+ if(output_window != nullptr)
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON(output_window->x().step() != 1);
+ }
+ if(output->total_size() > 0)
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN(output, DataType::F32);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output);
+ ARM_COMPUTE_RETURN_ERROR_ON(output->num_dimensions() > 3);
+ }
+ return Status{};
+}
+
+void CLCropKernel::run(const Window &window, cl::CommandQueue &queue)
+{
+ ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+ ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
+
+ Window in_slice = Window();
+ in_slice.use_tensor_dimensions(_input->info()->tensor_shape());
+ in_slice.set(Window::DimX, Window::Dimension(in_slice.x().start(), ceil_to_multiple(in_slice.x().end(), window.x().step()), window.x().step()));
+ in_slice.set(3, Window::Dimension(_batch_index, _batch_index + 1, 1));
+
+ unsigned int idx = 0;
+ add_3D_tensor_argument(idx, _input, in_slice);
+ add_3D_tensor_argument(idx, _output, window);
+ add_argument(idx, _start.x);
+ add_argument(idx, _start.y);
+ enqueue(queue, *this, window);
+}
+} // namespace arm_compute
diff --git a/src/core/CL/kernels/CLMemsetKernel.cpp b/src/core/CL/kernels/CLMemsetKernel.cpp
index ab53897..80caf94 100644
--- a/src/core/CL/kernels/CLMemsetKernel.cpp
+++ b/src/core/CL/kernels/CLMemsetKernel.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018 ARM Limited.
+ * Copyright (c) 2018-2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -35,27 +35,38 @@
namespace arm_compute
{
CLMemsetKernel::CLMemsetKernel()
- : ICLKernel(), _tensor(nullptr)
+ : ICLKernel(), _tensor(nullptr), _full_window()
{
}
void CLMemsetKernel::configure(ICLTensor *tensor,
- const PixelValue &constant_value)
+ const PixelValue &constant_value,
+ Window *window)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(tensor);
+ ARM_COMPUTE_ERROR_THROW_ON(validate(tensor->info(), constant_value, window));
+
_tensor = tensor;
- const DataType data_type = tensor->info()->data_type();
- const int vec_size_x = 16 / tensor->info()->element_size();
- const int output_width_x = tensor->info()->tensor_shape().x();
- const bool multi_access_x = (output_width_x / vec_size_x > 0);
+ const DataType data_type = tensor->info()->data_type();
+ const int vec_size_x = 16 / tensor->info()->element_size();
// Create and update the window (if needed)
- Window win = calculate_max_window(*tensor->info());
+ _full_window = calculate_max_window(*tensor->info());
+ Window win = _full_window;
+ if(window != nullptr)
+ {
+ ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(win, *window);
+ win = *window;
+ }
+
+ const int output_width_x = win.num_iterations(0);
+ const bool multi_access_x = output_width_x >= vec_size_x;
+ const bool remainder_x = output_width_x % vec_size_x > 0;
+
if(multi_access_x)
{
- win.set(Window::DimX,
- Window::Dimension(win.x().start(), ceil_to_multiple(win.x().end(), vec_size_x), vec_size_x));
+ win.set(Window::DimX, Window::Dimension(win.x().start(), ceil_to_multiple(win.x().end(), vec_size_x), vec_size_x));
}
ICLKernel::configure_internal(win);
@@ -64,14 +75,18 @@
build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(data_type));
build_opts.add_option("-DCONSTANT_VALUE=" + string_from_pixel_value(constant_value, data_type));
build_opts.add_option_if(multi_access_x, "-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x));
- build_opts.add_option_if(multi_access_x, "-DLAST_ACCESSED_X=" + support::cpp11::to_string(std::max<int>(output_width_x - vec_size_x, 0)));
+ build_opts.add_option_if(multi_access_x && remainder_x, "-DLAST_ACCESSED_X=" + support::cpp11::to_string(std::max<int>(output_width_x - vec_size_x, 0)));
_kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("memset", build_opts.options()));
}
-Status CLMemsetKernel::validate(const ITensorInfo *tensor, const PixelValue &constant_value)
+Status CLMemsetKernel::validate(const ITensorInfo *tensor, const PixelValue &constant_value, Window *window)
{
ARM_COMPUTE_UNUSED(tensor);
ARM_COMPUTE_UNUSED(constant_value);
+ if(window != nullptr)
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON(window->x().step() != 1);
+ }
return Status{};
}
@@ -81,15 +96,15 @@
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
// Collapse all the batches on the third
- Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimY);
- Window slice = collapsed.first_slice_window_2D();
+ Window collapsed = window.collapse_if_possible(_full_window, Window::DimZ);
+ Window slice = collapsed.first_slice_window_3D();
do
{
unsigned int idx = 0;
- add_2D_tensor_argument(idx, _tensor, slice);
+ add_3D_tensor_argument(idx, _tensor, slice);
enqueue(queue, *this, slice);
}
- while(collapsed.slide_window_slice_2D(slice));
+ while(collapsed.slide_window_slice_3D(slice));
}
} // namespace arm_compute