1 files changed, 0 insertions, 46 deletions
diff --git a/arm_compute/core/NEON/kernels/convolution/common/tensor_utils.hpp b/arm_compute/core/NEON/kernels/convolution/common/tensor_utils.hpp
deleted file mode 100644
index 0c234431b1..0000000000
--- a/arm_compute/core/NEON/kernels/convolution/common/tensor_utils.hpp
+++ /dev/null
@@ -1,46 +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.
- */
-
-#pragma once
-#include "tensor.hpp"
-
-// Methods to print tensors and weights
-void PrintTensor(const Tensor4D<Tensor4DShape, float>& tensor);
-void PrintWeights(const Tensor4D<KernelShape, float>& weights);
-
-// Test the equivalence of two tensors
-// Counts the instances that |a - b|/|a| > max_err
-bool CmpTensors(
-  const Tensor4D<Tensor4DShape, float>& a,
-  const Tensor4D<Tensor4DShape, float>& b,
-  const float max_err=0.0f
-);
-
-// Fill the tensor with a test pattern
-void TestPattern(Tensor4D<Tensor4DShape, float>& tensor);
-void TestPattern(Tensor4D<KernelShape, float>& weights);
-
-// Fill the tensor with random values
-void Randomise(Tensor4D<Tensor4DShape, float>& tensor, const int seed=0);
-void Randomise(Tensor4D<KernelShape, float>& weights, const int seed=0);