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Diffstat (limited to 'tests/validation/TensorOperations.h')
| -rw-r--r-- | tests/validation/TensorOperations.h | 47 |
1 files changed, 0 insertions, 47 deletions
diff --git a/tests/validation/TensorOperations.h b/tests/validation/TensorOperations.h index db145c19ad..84aa965a9f 100644 --- a/tests/validation/TensorOperations.h +++ b/tests/validation/TensorOperations.h @@ -999,53 +999,6 @@ void batch_normalization_layer(const Tensor<T> &in, Tensor<T> &out, const Tensor } } -// Depth Concatenate layer -template <typename T> -void depth_concatenate_layer(const std::vector<const Tensor<T> *> &srcs, Tensor<T> &out) -{ - unsigned depth_offset = 0; - const int width_out = out.shape().x(); - const int height_out = out.shape().y(); - const int depth_out = out.shape().z(); - const int out_stride_z = width_out * height_out; - const int batches = out.shape().total_size_upper(3); - - // Set output tensor to 0 - memset(out.data(), 0, out.num_elements() * element_size_from_data_type(out.data_type())); - - for(unsigned int i = 0; i < srcs.size(); ++i) - { - ARM_COMPUTE_ERROR_ON(srcs[i] == nullptr); - ARM_COMPUTE_ERROR_ON(srcs[i]->data_type() != out.data_type()); - ARM_COMPUTE_ERROR_ON(depth_offset >= out.shape().z()); - ARM_COMPUTE_ERROR_ON(batches != static_cast<int>(srcs[i]->shape().total_size_upper(3))); - - const Tensor<T> *src = srcs[i]; - const int width = src->shape().x(); - const int height = src->shape().y(); - const int depth = src->shape().z(); - const unsigned int x_diff = (width_out - width) / 2; - const unsigned int y_diff = (height_out - height) / 2; - - const T *src_ptr = src->data(); - for(int b = 0; b < batches; ++b) - { - const unsigned int offset_to_first_element = b * out_stride_z * depth_out + depth_offset * out_stride_z - + y_diff * width_out + x_diff; - for(int d = 0; d < depth; ++d) - { - for(int r = 0; r < height; ++r) - { - std::copy(src_ptr, src_ptr + width, out.data() + offset_to_first_element + d * out_stride_z + r * width_out); - src_ptr += width; - } - } - } - - depth_offset += depth; - } -} - // Convolution layer template <typename T> void convolution_layer(const Tensor<T> &in, const Tensor<T> &weights, const Tensor<T> &bias, Tensor<T> &out, const PadStrideInfo &conv_info) |