1 files changed, 0 insertions, 68 deletions
diff --git a/src/graph/nodes/DeQuantizationLayer.cpp b/src/graph/nodes/DeQuantizationLayer.cpp
deleted file mode 100644
index af9ecee157..0000000000
--- a/src/graph/nodes/DeQuantizationLayer.cpp
+++ /dev/null
@@ -1,68 +0,0 @@
-/*
- * Copyright (c) 2017 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/graph/nodes/DequantizationLayer.h"
-
-#include "arm_compute/graph/Error.h"
-#include "arm_compute/graph/NodeContext.h"
-#include "arm_compute/graph/OperationRegistry.h"
-
-using namespace arm_compute::graph;
-
-std::unique_ptr<arm_compute::IFunction> DequantizationLayer::instantiate_node(GraphContext &ctx, ITensorObject *input, ITensorObject *output)
-{
-    ARM_COMPUTE_ERROR_ON_UNALLOCATED_TENSOR_OBJECT(input, output);
-
-    _target_hint              = ctx.hints().target_hint();
-    arm_compute::ITensor *in  = input->tensor();
-    arm_compute::ITensor *out = output->tensor();
-
-    if(_min_max.tensor() == nullptr)
-    {
-        TensorShape shape = in->info()->tensor_shape();
-        shape.set(Window::DimX, 2);
-        shape.remove_dimension(1);
-        shape.remove_dimension(1);
-
-        _min_max.set_info(TensorInfo(shape, in->info()->num_channels(), DataType::F32));
-        _min_max.set_target(_target_hint);
-    }
-
-    bool minmax_is_loaded = _min_max.tensor() != nullptr;
-
-    // Create node context
-    NodeContext node_ctx(OperationType::DequantizationLayer);
-    node_ctx.set_target(_target_hint);
-    node_ctx.add_input(in);
-    node_ctx.add_output(_min_max.tensor());
-    node_ctx.add_output(out);
-
-    // Fill min max
-    if(!minmax_is_loaded)
-    {
-        _min_max.allocate_and_fill_if_needed();
-    }
-
-    // Get function
-    return OperationRegistry::get().find_operation(OperationType::DequantizationLayer, _target_hint)->configure(node_ctx);
-}