1 files changed, 0 insertions, 91 deletions
diff --git a/src/graph/nodes/DepthwiseConvolutionLayer.cpp b/src/graph/nodes/DepthwiseConvolutionLayer.cpp
deleted file mode 100644
index e5101cc33c..0000000000
--- a/src/graph/nodes/DepthwiseConvolutionLayer.cpp
+++ /dev/null
@@ -1,91 +0,0 @@
-/*
- * 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/graph/nodes/DepthwiseConvolutionLayer.h"
-
-#include "arm_compute/graph/Error.h"
-#include "arm_compute/graph/NodeContext.h"
-#include "arm_compute/graph/OperationRegistry.h"
-#include "support/ToolchainSupport.h"
-
-using namespace arm_compute::graph;
-
-std::unique_ptr<arm_compute::IFunction> DepthwiseConvolutionLayer::instantiate_node(GraphContext &ctx, ITensorObject *input, ITensorObject *output)
-{
-    ARM_COMPUTE_ERROR_ON_UNALLOCATED_TENSOR_OBJECT(input, output);
-
-    arm_compute::ITensor *in  = input->tensor();
-    arm_compute::ITensor *out = output->tensor();
-    _target_hint              = ctx.hints().target_hint();
-
-    if(_weights.tensor() == nullptr)
-    {
-        TensorShape weights_shape(_conv_width, _conv_height, input->tensor()->info()->tensor_shape().z());
-        TensorInfo  info = TensorInfo(TensorShape(weights_shape), in->info()->num_channels(), in->info()->data_type(), in->info()->fixed_point_position());
-        info.set_quantization_info(_quant_info);
-        _weights.set_info(std::move(info));
-    }
-    if(_biases.has_accessor() && _biases.tensor() == nullptr)
-    {
-        DataType dt = in->info()->data_type();
-        _biases.set_info(TensorInfo(TensorShape(in->info()->dimension(2)), in->info()->num_channels(), is_data_type_quantized_asymmetric(dt) ? DataType::S32 : dt, in->info()->fixed_point_position()));
-    }
-
-    bool weights_is_loaded = _weights.tensor() != nullptr;
-    bool biases_is_loaded  = _biases.has_accessor() ? _biases.tensor() != nullptr : true;
-
-    _weights.set_target(_target_hint);
-    if(_biases.has_accessor())
-    {
-        _biases.set_target(_target_hint);
-    }
-
-    // Create node context
-    NodeContext node_ctx(OperationType::DepthwiseConvolutionLayer);
-    node_ctx.set_target(_target_hint);
-    node_ctx.add_input(in);
-    node_ctx.add_input(_weights.tensor());
-    if(_biases.has_accessor())
-    {
-        node_ctx.add_input(_biases.tensor());
-    }
-    node_ctx.add_output(out);
-    node_ctx.add_parameter<PadStrideInfo>("ConvolutionInfo", _conv_info);
-    node_ctx.add_parameter<bool>("Optimized3x3", _opt3x3);
-
-    // Configure operation
-    auto func = OperationRegistry::get().find_operation(OperationType::DepthwiseConvolutionLayer, _target_hint)->configure(node_ctx);
-
-    // Fill tensors
-    if(!weights_is_loaded)
-    {
-        _weights.allocate_and_fill_if_needed();
-    }
-    if(!biases_is_loaded)
-    {
-        _biases.allocate_and_fill_if_needed();
-    }
-
-    // Get function
-    return func;
-}