arm_compute v19.05
diff --git a/src/runtime/CL/functions/CLFFT1D.cpp b/src/runtime/CL/functions/CLFFT1D.cpp
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+++ b/src/runtime/CL/functions/CLFFT1D.cpp
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+/*
+ * 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/runtime/CL/functions/CLFFT1D.h"
+
+#include "arm_compute/core/CL/ICLTensor.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/core/utils/helpers/fft.h"
+#include "arm_compute/runtime/CL/CLScheduler.h"
+
+namespace arm_compute
+{
+CLFFT1D::CLFFT1D(std::shared_ptr<IMemoryManager> memory_manager)
+ : _memory_group(std::move(memory_manager)), _digit_reverse_kernel(), _fft_kernels(), _scale_kernel(), _digit_reversed_input(), _digit_reverse_indices(), _num_ffts(0), _run_scale(false)
+{
+}
+
+void CLFFT1D::configure(const ICLTensor *input, ICLTensor *output, const FFT1DInfo &config)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+ ARM_COMPUTE_ERROR_THROW_ON(CLFFT1D::validate(input->info(), output->info(), config));
+
+ // Decompose size to radix factors
+ const auto supported_radix = CLFFTRadixStageKernel::supported_radix();
+ const unsigned int N = input->info()->tensor_shape()[config.axis];
+ const auto decomposed_vector = arm_compute::helpers::fft::decompose_stages(N, supported_radix);
+ ARM_COMPUTE_ERROR_ON(decomposed_vector.empty());
+
+ // Flags
+ _run_scale = config.direction == FFTDirection::Inverse;
+ const bool is_c2r = input->info()->num_channels() == 2 && output->info()->num_channels() == 1;
+
+ // Configure digit reverse
+ FFTDigitReverseKernelInfo digit_reverse_config;
+ digit_reverse_config.axis = config.axis;
+ digit_reverse_config.conjugate = config.direction == FFTDirection::Inverse;
+ TensorInfo digit_reverse_indices_info(TensorShape(input->info()->tensor_shape()[config.axis]), 1, DataType::U32);
+ _digit_reverse_indices.allocator()->init(digit_reverse_indices_info);
+ _memory_group.manage(&_digit_reversed_input);
+ _digit_reverse_kernel.configure(input, &_digit_reversed_input, &_digit_reverse_indices, digit_reverse_config);
+
+ // Create and configure FFT kernels
+ unsigned int Nx = 1;
+ _num_ffts = decomposed_vector.size();
+ _fft_kernels.resize(_num_ffts);
+ for(unsigned int i = 0; i < _num_ffts; ++i)
+ {
+ const unsigned int radix_for_stage = decomposed_vector.at(i);
+
+ FFTRadixStageKernelInfo fft_kernel_info;
+ fft_kernel_info.axis = config.axis;
+ fft_kernel_info.radix = radix_for_stage;
+ fft_kernel_info.Nx = Nx;
+ fft_kernel_info.is_first_stage = (i == 0);
+ _fft_kernels[i].configure(&_digit_reversed_input, ((i == (_num_ffts - 1)) && !is_c2r) ? output : nullptr, fft_kernel_info);
+
+ Nx *= radix_for_stage;
+ }
+
+ // Configure scale kernel
+ if(_run_scale)
+ {
+ FFTScaleKernelInfo scale_config;
+ scale_config.scale = static_cast<float>(N);
+ scale_config.conjugate = config.direction == FFTDirection::Inverse;
+ is_c2r ? _scale_kernel.configure(&_digit_reversed_input, output, scale_config) : _scale_kernel.configure(output, nullptr, scale_config);
+ }
+
+ // Allocate tensors
+ _digit_reversed_input.allocator()->allocate();
+ _digit_reverse_indices.allocator()->allocate();
+
+ // Init digit reverse indices
+ const auto digit_reverse_cpu = arm_compute::helpers::fft::digit_reverse_indices(N, decomposed_vector);
+ _digit_reverse_indices.map(CLScheduler::get().queue(), true);
+ std::copy_n(digit_reverse_cpu.data(), N, reinterpret_cast<unsigned int *>(_digit_reverse_indices.buffer()));
+ _digit_reverse_indices.unmap(CLScheduler::get().queue());
+}
+
+Status CLFFT1D::validate(const ITensorInfo *input, const ITensorInfo *output, const FFT1DInfo &config)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
+ ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() != DataType::F32);
+ ARM_COMPUTE_RETURN_ERROR_ON(input->num_channels() != 1 && input->num_channels() != 2);
+ ARM_COMPUTE_RETURN_ERROR_ON(std::set<unsigned int>({ 0, 1 }).count(config.axis) == 0);
+
+ // Check if FFT is decomposable
+ const auto supported_radix = CLFFTRadixStageKernel::supported_radix();
+ const unsigned int N = input->tensor_shape()[config.axis];
+ const auto decomposed_vector = arm_compute::helpers::fft::decompose_stages(N, supported_radix);
+ ARM_COMPUTE_RETURN_ERROR_ON(decomposed_vector.empty());
+
+ // Checks performed when output is configured
+ if((output != nullptr) && (output->total_size() != 0))
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON(output->num_channels() == 1 && input->num_channels() == 1);
+ ARM_COMPUTE_RETURN_ERROR_ON(output->num_channels() != 1 && output->num_channels() != 2);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
+ }
+
+ return Status{};
+}
+
+void CLFFT1D::run()
+{
+ MemoryGroupResourceScope scope_mg(_memory_group);
+
+ // Run digit reverse
+ CLScheduler::get().enqueue(_digit_reverse_kernel, false);
+
+ // Run radix kernels
+ for(unsigned int i = 0; i < _num_ffts; ++i)
+ {
+ CLScheduler::get().enqueue(_fft_kernels[i], i == (_num_ffts - 1) && !_run_scale);
+ }
+
+ // Run output scaling
+ if(_run_scale)
+ {
+ CLScheduler::get().enqueue(_scale_kernel, true);
+ }
+}
+} // namespace arm_compute