Searched refs:m_inputRows (Results 1 – 5 of 5) sorted by relevance
186 m_inputRows = input_dims[1];190 m_inputRows = input_dims[NumInputDims-2];215 m_input_rows_eff = (m_inputRows - 1) * m_row_inflate_strides + 1;293 m_colInputStride = m_inputDepth * m_inputRows;294 m_patchInputStride = m_inputDepth * m_inputRows * m_inputCols;405 if (inputRows[1] < 0 || inputRows[0] >= m_inputRows) {409 if (inputRows[0] >= 0 && inputRows[1] < m_inputRows) {489 Index m_inputRows;
200 m_inputRows = input_dims[2];205 m_inputRows = input_dims[NumInputDims-3];223 m_input_rows_eff = (m_inputRows - 1) * m_row_inflate_strides + 1;318 m_colInputStride = m_inputDepth * m_inputRows * m_inputPlanes;319 m_otherInputStride = m_inputDepth * m_inputRows * m_inputCols * m_inputPlanes;461 if (inputRows[1] < 0 || inputRows[0] >= m_inputRows) {562 Index m_inputRows;
66 m_inputRows = input_dims[2]; in CustomTensorEvaluator()71 m_inputRows = input_dims[NumInputDims - 3]; in CustomTensorEvaluator()89 m_input_rows_eff = (m_inputRows - 1) * m_row_inflate_strides + 1; in CustomTensorEvaluator()209 m_colInputStride = m_inputDepth * m_inputRows * m_inputPlanes; in CustomTensorEvaluator()211 m_inputDepth * m_inputRows * m_inputCols * m_inputPlanes; in CustomTensorEvaluator()392 if (inputRows[1] < 0 || inputRows[0] >= m_inputRows) { in packet()592 Index m_inputRows; member
135 m_inputRows = tensor.impl().impl().dimensions()[1]; in TensorContractionInputMapper()139 m_inputRows = tensor.impl().impl().dimensions()[NumDims - 2]; in TensorContractionInputMapper()144 m_colInputStride = patch_depth * m_inputRows; in TensorContractionInputMapper()145 m_patchInputStride = patch_depth * m_inputRows * m_inputCols; in TensorContractionInputMapper()182 m_inputRows = base_mapper.m_inputRows; in TensorContractionInputMapper()302 origInputRow >= m_inputRows || in loadCoeff()328 inputRow >= m_inputRows) { in loadCoeffStandard()389 if (inputRows[0] >= m_inputRows || inputRows[1] < 0) { in loadPacketStandard()394 if (inputRows[0] >= 0 && inputRows[1] < m_inputRows) { in loadPacketStandard()425 inputRow >= m_inputRows) { in loadPacketFast()[all …]
154 m_inputRows = tensor.impl().impl().dimensions()[2]; in TensorContractionInputMapper()160 m_inputRows = tensor.impl().impl().dimensions()[NumDims - 3]; in TensorContractionInputMapper()167 m_colInputStride = m_inputDepth * m_inputRows * m_inputPlanes; in TensorContractionInputMapper()169 m_inputDepth * m_inputRows * m_inputCols * m_inputPlanes; in TensorContractionInputMapper()230 m_inputRows = base_mapper.m_inputRows; in TensorContractionInputMapper()381 origInputCol >= m_inputCols || origInputRow >= m_inputRows || in loadCoeff()419 inputRow >= m_inputRows || inputPlane < 0 || in loadCoeffStandard()490 if (inputRows[0] >= m_inputRows || inputRows[1] < 0) { in loadPacketStandard()551 inputCol >= m_inputCols || inputRow >= m_inputRows || in loadPacketFast()631 Index m_inputRows; // Number of rows in the input tensor variable[all …]