| /* |
| * Copyright (c) 2017-2018 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/CLQuantizationLayer.h" |
| |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/runtime/CL/CLScheduler.h" |
| |
| using namespace arm_compute; |
| |
| CLQuantizationLayer::CLQuantizationLayer() |
| : _quantize_kernel(), _min_max_kernel(), _min_max() |
| { |
| } |
| |
| Status CLQuantizationLayer::validate(const ITensorInfo *input, const ITensorInfo *output) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); |
| |
| TensorInfo min_max{ input->num_channels(), input->data_type() }; |
| ARM_COMPUTE_RETURN_ON_ERROR(CLMinMaxLayerKernel::validate(input, &min_max)); |
| ARM_COMPUTE_RETURN_ON_ERROR(CLQuantizationLayerKernel::validate(input, output, &min_max)); |
| |
| return Status{}; |
| } |
| |
| void CLQuantizationLayer::configure(const ICLTensor *input, ICLTensor *output) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| |
| // Configure min-max kernel. _min_max tensor will be auto-configured within the kernel. |
| _min_max_kernel.configure(input, &_min_max); |
| |
| // Configure quantize kernel |
| _quantize_kernel.configure(input, output, &_min_max); |
| |
| // Allocate min_max tensor |
| _min_max.allocator()->allocate(); |
| } |
| |
| void CLQuantizationLayer::run() |
| { |
| cl::CommandQueue q = CLScheduler::get().queue(); |
| |
| // Reset min and max |
| _min_max_kernel.reset(q); |
| |
| // Run min-max kernel |
| CLScheduler::get().enqueue(_min_max_kernel, false); |
| |
| // Run quantize kernel |
| CLScheduler::get().enqueue(_quantize_kernel, false); |
| } |