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Diffstat (limited to 'compute/ARMComputeEx/src/runtime/CL/functions/CLTransposeConvLayerUpsample.cpp')
-rw-r--r--compute/ARMComputeEx/src/runtime/CL/functions/CLTransposeConvLayerUpsample.cpp67
1 files changed, 67 insertions, 0 deletions
diff --git a/compute/ARMComputeEx/src/runtime/CL/functions/CLTransposeConvLayerUpsample.cpp b/compute/ARMComputeEx/src/runtime/CL/functions/CLTransposeConvLayerUpsample.cpp
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index 000000000..0ce3e6700
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+++ b/compute/ARMComputeEx/src/runtime/CL/functions/CLTransposeConvLayerUpsample.cpp
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+/*
+ * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright (c) 2017-2018 ARM Limited.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+#include "arm_compute/runtime/CL/functions/CLTransposeConvLayerUpsample.h"
+
+#include "arm_compute/core/CL/OpenCL.h"
+#include "arm_compute/core/Utils.h"
+#include "arm_compute/runtime/CL/CLScheduler.h"
+
+#include <cmath>
+#include <memory>
+#include <tuple>
+
+using namespace arm_compute;
+
+CLTransposeConvLayerUpsample::CLTransposeConvLayerUpsample() // NOLINT
+ : _upsample(),
+ _output(nullptr)
+{
+}
+
+Status CLTransposeConvLayerUpsample::validate(const ITensorInfo *input, const ITensorInfo *output,
+ const BorderSize &inner_border,
+ const PadStrideInfo &info)
+{
+ return CLTransposeConvLayerUpsampleKernel::validate(input, output, inner_border, info);
+}
+
+void CLTransposeConvLayerUpsample::configure(ICLTensor *input, ICLTensor *output,
+ const BorderSize &inner_border,
+ const PadStrideInfo &info)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+
+ _output = output;
+ _upsample.configure(input, _output, inner_border, info);
+}
+
+void CLTransposeConvLayerUpsample::run()
+{
+ _output->map(CLScheduler::get().queue(), true);
+ if (is_data_type_quantized_asymmetric(_output->info()->data_type()))
+ {
+ const uint8_t quantized_zero = _output->info()->quantization_info().offset;
+ std::fill_n(_output->buffer(), _output->info()->total_size(), quantized_zero);
+ }
+ else
+ {
+ memset(_output->buffer(), 0, _output->info()->total_size());
+ }
+ _output->unmap(CLScheduler::get().queue());
+
+ CLScheduler::get().enqueue(_upsample, false);
+}