Searched refs:m_outputRows (Results 1 – 5 of 5) sorted by relevance
221 …m_outputRows = numext::ceil((m_input_rows_eff + op.padding_top() + op.padding_bottom() - m_patch_r…229 …m_outputRows = numext::ceil((m_input_rows_eff - m_patch_rows_eff + 1.f) / static_cast<float>(m_row…232 …m_rowPaddingTop = numext::maxi<Index>(0, ((m_outputRows - 1) * m_row_strides + m_patch_rows_eff - …236 m_outputRows = numext::ceil(m_input_rows_eff / static_cast<float>(m_row_strides));239 … m_rowPaddingTop = ((m_outputRows - 1) * m_row_strides + m_patch_rows_eff - m_input_rows_eff) / 2;246 eigen_assert(m_outputRows > 0);260 m_dimensions[3] = m_outputRows * m_outputCols;274 m_dimensions[NumDims-4] = m_outputRows * m_outputCols;305 m_fastOutputRows = internal::TensorIntDivisor<Index>(m_outputRows);346 const Index rowIndex = patch2DIndex - colIndex * m_outputRows;[all …]
231 …m_outputRows = numext::ceil((m_input_rows_eff + op.padding_top() + op.padding_bottom() - m_patch_r…241 …m_outputRows = numext::ceil((m_input_rows_eff - m_patch_rows_eff + 1.f) / static_cast<float>(m_row…249 m_outputRows = numext::ceil(m_input_rows_eff / static_cast<float>(m_row_strides));252 const Index dy = m_outputRows * m_row_strides + m_patch_rows_eff - 1 - m_input_rows_eff;263 eigen_assert(m_outputRows > 0);280 m_dimensions[4] = m_outputPlanes * m_outputRows * m_outputCols;296 m_dimensions[NumDims-5] = m_outputPlanes * m_outputRows * m_outputCols;321 m_outputPlanesRows = m_outputPlanes * m_outputRows;387 const Index planeIndex = (patch3DIndex - m_outputPlanes * (colIndex * m_outputRows + rowIndex));469 const Index planeIndex = (patch3DIndex - m_outputPlanes * (colIndex * m_outputRows + rowIndex));[all …]
104 m_outputRows = Eigen::divup( in CustomTensorEvaluator()123 m_outputRows = Eigen::divup(m_input_rows_eff - m_patch_rows_eff + 1, in CustomTensorEvaluator()133 m_outputRows = Eigen::divup(m_input_rows_eff, m_row_strides); in CustomTensorEvaluator()139 0, (m_outputRows - 1) * m_row_strides + m_patch_rows_eff - in CustomTensorEvaluator()153 eigen_assert(m_outputRows > 0); in CustomTensorEvaluator()170 m_dimensions[4] = m_outputPlanes * m_outputRows * m_outputCols; in CustomTensorEvaluator()186 m_dimensions[NumDims - 5] = m_outputPlanes * m_outputRows * m_outputCols; in CustomTensorEvaluator()213 m_outputPlanesRows = m_outputPlanes * m_outputRows; in CustomTensorEvaluator()302 (patch3DIndex - m_outputPlanes * (colIndex * m_outputRows + rowIndex)); in coeff()401 (patch3DIndex - m_outputPlanes * (colIndex * m_outputRows + rowIndex)); in packet()[all …]
136 m_outputRows = tensor.impl().outputRows(); in TensorContractionInputMapper()139 m_outputPlanesRows = m_outputPlanes * m_outputRows; in TensorContractionInputMapper()197 m_fastOutputRows = internal::TensorIntDivisor<Index>(m_outputRows); in TensorContractionInputMapper()199 m_fastOutputRows = internal::TensorIntDivisor<Index>(m_outputRows); in TensorContractionInputMapper()236 m_outputRows = base_mapper.m_outputRows; in TensorContractionInputMapper()792 patch3DIndex - (colIndex * m_outputRows + rowIndex) * m_outputPlanes; in computeBaseIndices()828 Index m_outputRows; // Number of output rows variable
131 m_outputRows = tensor.impl().outputRows(); in TensorContractionInputMapper()165 m_fastOutputRows = internal::TensorIntDivisor<Index>(m_outputRows); in TensorContractionInputMapper()190 m_outputRows = base_mapper.m_outputRows; in TensorContractionInputMapper()623 rowIndex = patch2DIndex - colIndex * m_outputRows; in computeBaseIndices()657 Index m_outputRows; // Number of convolution output rows variable889 (m_base_mapper.m_outputRows - 1) * m_base_mapper.m_row_strides; in hasPadding()