| /* |
| * Copyright (c) 2019-2021 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/CLInstanceNormalizationLayer.h" |
| |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/CL/CLHelpers.h" |
| #include "arm_compute/runtime/CL/CLScheduler.h" |
| #include "src/core/CL/ICLKernel.h" |
| #include "src/core/CL/kernels/CLFillBorderKernel.h" |
| #include "src/core/CL/kernels/CLInstanceNormalizationLayerKernel.h" |
| |
| namespace arm_compute |
| { |
| CLInstanceNormalizationLayer::CLInstanceNormalizationLayer(CLRuntimeContext *ctx) // NOLINT |
| : _inst_norm_kernel(), |
| _mean_var_kernel(), |
| _mean_var_tensor(), |
| _ctx(ctx) |
| { |
| } |
| CLInstanceNormalizationLayer::~CLInstanceNormalizationLayer() |
| { |
| } |
| |
| void CLInstanceNormalizationLayer::configure(ICLTensor *input, ICLTensor *output, float gamma, float beta, float epsilon, bool use_mixed_precision) |
| { |
| configure(CLKernelLibrary::get().get_compile_context(), input, output, gamma, beta, epsilon, use_mixed_precision); |
| } |
| |
| void CLInstanceNormalizationLayer::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, float gamma, float beta, float epsilon, bool use_mixed_precision) |
| { |
| auto w = std::make_unique<CLComputeMeanVariance>(); |
| w->configure(compile_context, input, &_mean_var_tensor, use_mixed_precision); |
| _mean_var_kernel = std::move(w); |
| auto k = std::make_unique<CLInstanceNormalizationLayerKernel>(); |
| k->configure(compile_context, input, &_mean_var_tensor, output, InstanceNormalizationLayerKernelInfo(gamma, beta, epsilon, use_mixed_precision)); |
| _inst_norm_kernel = std::move(k); |
| _mean_var_tensor.allocator()->allocate(); |
| } |
| |
| Status CLInstanceNormalizationLayer::validate(const ITensorInfo *input, const ITensorInfo *output, float gamma, float beta, float epsilon, bool use_mixed_precision) |
| { |
| return CLInstanceNormalizationLayerKernel::validate(input, output, InstanceNormalizationLayerKernelInfo(gamma, beta, epsilon, use_mixed_precision)); |
| } |
| |
| void CLInstanceNormalizationLayer::run() |
| { |
| ARM_COMPUTE_ERROR_ON_MSG(!_inst_norm_kernel, "The child class didn't set the CL kernel or function isn't configured"); |
| schedule_kernel_on_ctx(_ctx, _mean_var_kernel.get()); |
| schedule_kernel_on_ctx(_ctx, _inst_norm_kernel.get()); |
| } |
| |
| } // namespace arm_compute |