| # Copyright (C) 2020 Arm Limited or its affiliates. All rights reserved. |
| # |
| # SPDX-License-Identifier: Apache-2.0 |
| # |
| # Licensed under the Apache License, Version 2.0 (the License); you may |
| # not use this file except in compliance with the License. |
| # You may obtain a copy of the License at |
| # |
| # www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an AS IS BASIS, WITHOUT |
| # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| |
| |
| # Description: |
| # Insert DMA operations into the graph for transfering weights. |
| |
| from .nn_graph import Operation, MemArea, TensorPurpose, NpuBlockType |
| from . import rewrite_graph |
| |
| |
| def insert_dma_cmd(op, arch): |
| if op.type == "DMA": |
| return op # Already rewritten |
| for idx, tens in enumerate(op.inputs): |
| |
| if tens.mem_area in (MemArea.Dram, MemArea.OffChipFlash) and tens.mem_area != arch.fast_storage_mem_area: |
| if tens.purpose == TensorPurpose.Weights: |
| only_vector_product_consumers = True |
| for oper in tens.consumers(): |
| if oper is None or oper.attrs.get("npu_block_type") != NpuBlockType.VectorProduct: |
| only_vector_product_consumers = False |
| break |
| |
| # Tensor products has no need for DMA, tensors are only read once and can be in flash. |
| # Other operations re-reads tensors, this is better done from SRAM. |
| if not only_vector_product_consumers: |
| # Insert a DMA command here, as well as a new tensor situated in SRAM of the same size. |
| new_tens = tens.clone_into_fast_storage(arch) |
| dma_cmd = Operation("DMA", tens.ops[0].name + "_dma") |
| dma_cmd.inputs = [tens] |
| dma_cmd.outputs = [new_tens] |
| dma_cmd.attrs["source"] = tens.mem_area |
| dma_cmd.attrs["destination"] = new_tens.mem_area |
| dma_cmd.run_on_npu = True |
| new_tens.ops = [dma_cmd] |
| op.inputs[idx] = new_tens |
| return op |
| |
| |
| def insert_dma_commands(nng, arch, verbose_graph=False): |
| |
| for idx, sg in enumerate(nng.subgraphs): |
| nng.subgraphs[idx] = rewrite_graph.rewrite_graph_pre_order(sg, arch, [], [insert_dma_cmd]) |
| if verbose_graph: |
| nng.print_graph() |
| return nng |