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Fixed merge conflict
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@ -142,25 +142,15 @@ struct TensorEvaluator<const TensorImagePatchOp<Rows, Cols, ArgType>, Device>
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switch (op.padding_type()) {
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case PADDING_VALID:
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<<<<<<< local
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m_outputRows = std::ceil((m_inputRows - op.patch_rows() + 1.f) / static_cast<float>(m_row_strides));
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m_outputCols = std::ceil((m_inputCols - op.patch_cols() + 1.f) / static_cast<float>(m_col_strides));
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=======
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m_outputRows = numext::ceil((m_inputRows - op.patch_rows() + 1.f) / static_cast<float>(m_row_strides));
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m_outputCols = numext::ceil((m_inputCols - op.patch_cols() + 1.f) / static_cast<float>(m_col_strides));
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>>>>>>> other
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// Calculate the padding
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m_rowPaddingTop = ((m_outputRows - 1) * m_row_strides + op.patch_rows() - m_inputRows) / 2;
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m_colPaddingLeft = ((m_outputCols - 1) * m_col_strides + op.patch_cols() - m_inputCols) / 2;
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break;
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case PADDING_SAME:
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<<<<<<< local
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m_outputRows = std::ceil(m_inputRows / static_cast<float>(m_row_strides));
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m_outputCols = std::ceil(m_inputCols / static_cast<float>(m_col_strides));
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=======
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m_outputRows = numext::ceil(m_inputRows / static_cast<float>(m_row_strides));
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m_outputCols = numext::ceil(m_inputCols / static_cast<float>(m_col_strides));
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>>>>>>> other
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// Calculate the padding
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m_rowPaddingTop = ((m_outputRows - 1) * m_row_strides + op.patch_rows() - m_inputRows) / 2;
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m_colPaddingLeft = ((m_outputCols - 1) * m_col_strides + op.patch_cols() - m_inputCols) / 2;
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