Searched refs:m_outputCols (Results 1 – 5 of 5) sorted by relevance
222 …m_outputCols = numext::ceil((m_input_cols_eff + op.padding_left() + op.padding_right() - m_patch_c…230 …m_outputCols = numext::ceil((m_input_cols_eff - m_patch_cols_eff + 1.f) / static_cast<float>(m_col…233 …m_colPaddingLeft = numext::maxi<Index>(0, ((m_outputCols - 1) * m_col_strides + m_patch_cols_eff -…237 m_outputCols = numext::ceil(m_input_cols_eff / static_cast<float>(m_col_strides));240 … m_colPaddingLeft = ((m_outputCols - 1) * m_col_strides + m_patch_cols_eff - m_input_cols_eff) / 2;247 eigen_assert(m_outputCols > 0);260 m_dimensions[3] = m_outputRows * m_outputCols;274 m_dimensions[NumDims-4] = m_outputRows * m_outputCols;428 Index outputCols() const { return m_outputCols; }493 Index m_outputCols;
232 …m_outputCols = numext::ceil((m_input_cols_eff + op.padding_left() + op.padding_right() - m_patch_c…242 …m_outputCols = numext::ceil((m_input_cols_eff - m_patch_cols_eff + 1.f) / static_cast<float>(m_col…250 m_outputCols = numext::ceil(m_input_cols_eff / static_cast<float>(m_col_strides));253 const Index dx = m_outputCols * m_col_strides + m_patch_cols_eff - 1 - m_input_cols_eff;264 eigen_assert(m_outputCols > 0);280 m_dimensions[4] = m_outputPlanes * m_outputRows * m_outputCols;296 m_dimensions[NumDims-5] = m_outputPlanes * m_outputRows * m_outputCols;514 Index outputCols() const { return m_outputCols; }545 Index m_outputCols;
109 m_outputCols = Eigen::divup( in CustomTensorEvaluator()125 m_outputCols = Eigen::divup(m_input_cols_eff - m_patch_cols_eff + 1, in CustomTensorEvaluator()134 m_outputCols = Eigen::divup(m_input_cols_eff, m_col_strides); in CustomTensorEvaluator()142 0, (m_outputCols - 1) * m_col_strides + m_patch_cols_eff - in CustomTensorEvaluator()154 eigen_assert(m_outputCols > 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()450 Index outputCols() const { return m_outputCols; } in outputCols()575 Index m_outputCols; member
132 m_outputCols = tensor.impl().outputCols(); in TensorContractionInputMapper()191 m_outputCols = base_mapper.m_outputCols; in TensorContractionInputMapper()658 Index m_outputCols; // Number of convolution output column variable894 (m_base_mapper.m_outputCols - 1) * m_base_mapper.m_col_strides; in hasPadding()
137 m_outputCols = tensor.impl().outputCols(); in TensorContractionInputMapper()200 m_fastOutputCols = internal::TensorIntDivisor<Index>(m_outputCols); in TensorContractionInputMapper()237 m_outputCols = base_mapper.m_outputCols; in TensorContractionInputMapper()829 Index m_outputCols; // Number of output cols variable