erik.andersson@arm.com | ad45f79 | 2021-02-03 10:20:16 +0100 | [diff] [blame] | 1 | # Copyright (C) 2020-2021 Arm Limited or its affiliates. All rights reserved. |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 2 | # |
| 3 | # SPDX-License-Identifier: Apache-2.0 |
| 4 | # |
| 5 | # Licensed under the Apache License, Version 2.0 (the License); you may |
| 6 | # not use this file except in compliance with the License. |
| 7 | # You may obtain a copy of the License at |
| 8 | # |
| 9 | # www.apache.org/licenses/LICENSE-2.0 |
| 10 | # |
| 11 | # Unless required by applicable law or agreed to in writing, software |
| 12 | # distributed under the License is distributed on an AS IS BASIS, WITHOUT |
| 13 | # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 14 | # See the License for the specific language governing permissions and |
| 15 | # limitations under the License. |
| 16 | # |
| 17 | # Description: |
| 18 | # Conversion from high level command to NpuOperation |
| 19 | from enum import IntEnum |
Louis Verhaard | 024c355 | 2021-03-17 14:26:34 +0100 | [diff] [blame] | 20 | from typing import Dict |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 21 | from typing import List |
| 22 | from typing import Optional |
| 23 | |
| 24 | from .api import NpuActivation |
| 25 | from .api import NpuActivationOp |
| 26 | from .api import NpuAddressRange |
| 27 | from .api import NpuBlockOperation |
| 28 | from .api import NpuBlockTraversal |
| 29 | from .api import NpuConv2DOperation |
| 30 | from .api import NpuConvDepthWiseOperation |
| 31 | from .api import NpuDataType |
| 32 | from .api import NpuDmaOperation |
| 33 | from .api import NpuElementWiseOp |
| 34 | from .api import NpuElementWiseOperation |
| 35 | from .api import NpuFeatureMap |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 36 | from .api import NpuLayout |
| 37 | from .api import NpuOperation |
| 38 | from .api import NpuPadding |
| 39 | from .api import NpuPoolingOp |
| 40 | from .api import NpuPoolingOperation |
| 41 | from .api import NpuQuantization |
| 42 | from .api import NpuResamplingMode |
| 43 | from .api import NpuRoundingMode |
| 44 | from .api import NpuShape3D |
| 45 | from .api import NpuTileBox |
| 46 | from .architecture_features import ArchitectureFeatures |
| 47 | from .data_type import DataType |
Louis Verhaard | 1e17018 | 2020-11-26 11:42:04 +0100 | [diff] [blame] | 48 | from .debug_database import DebugDatabase |
Michael McGeagh | 7a6f843 | 2020-12-02 15:29:22 +0000 | [diff] [blame] | 49 | from .errors import UnsupportedFeatureError |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 50 | from .high_level_command_stream import Box |
| 51 | from .high_level_command_stream import Command |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 52 | from .high_level_command_stream import DMA |
| 53 | from .high_level_command_stream import NpuStripe |
Fredrik Svedberg | 838df0a | 2021-09-17 16:29:22 +0200 | [diff] [blame] | 54 | from .numeric_util import quantise_float32 |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 55 | from .numeric_util import round_up |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 56 | from .operation import NpuBlockType |
| 57 | from .operation import Op |
| 58 | from .operation import Operation |
Louis Verhaard | 1e17018 | 2020-11-26 11:42:04 +0100 | [diff] [blame] | 59 | from .register_command_stream_generator import generate_command_stream |
| 60 | from .register_command_stream_util import BASE_PTR_INDEX_MEM2MEM |
Louis Verhaard | 1e17018 | 2020-11-26 11:42:04 +0100 | [diff] [blame] | 61 | from .register_command_stream_util import to_npu_kernel |
| 62 | from .register_command_stream_util import UNARY_ELEMWISE_OPS |
patrik.gustavsson | eeb8515 | 2020-12-21 17:10:40 +0000 | [diff] [blame] | 63 | from .shape4d import Shape4D |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 64 | from .tensor import MemType |
| 65 | from .tensor import Tensor |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 66 | from .tensor import TensorFormat |
| 67 | from .tensor import TensorPurpose |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 68 | from .tensor import TensorSubPurpose |
| 69 | from .weight_compressor import WeightKey |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 70 | |
| 71 | |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 72 | class BasePointerIndex(IntEnum): |
| 73 | WeightTensor = 0 # base address index for the Weight tensor |
| 74 | ScratchTensor = 1 # base address index for the Scratch_tensor in the TensorArena |
| 75 | ScratchFastTensor = 2 # base address for the Scratch_fast_tensor |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 76 | |
| 77 | |
| 78 | dtype_map = { |
| 79 | DataType.uint8: NpuDataType.UINT8, |
| 80 | DataType.int8: NpuDataType.INT8, |
| 81 | DataType.uint16: NpuDataType.UINT16, |
| 82 | DataType.int16: NpuDataType.INT16, |
| 83 | DataType.int32: NpuDataType.INT32, |
| 84 | } |
| 85 | |
| 86 | |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 87 | # Maps an elementwise op type to an elementwise_mode enum value used by NPU_OP_ELEMENTWISE |
| 88 | elementwise_op_map = { |
| 89 | Op.Mul: NpuElementWiseOp.MUL, |
Patrik Gustavsson | b081d67 | 2021-08-25 13:49:25 +0200 | [diff] [blame] | 90 | Op.RescaleMul: NpuElementWiseOp.MUL, |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 91 | Op.Add: NpuElementWiseOp.ADD, |
Fredrik Svedberg | e82be7c | 2021-01-18 15:21:03 +0100 | [diff] [blame] | 92 | Op.RescaleAdd: NpuElementWiseOp.ADD, |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 93 | Op.Sub: NpuElementWiseOp.SUB, |
| 94 | Op.Minimum: NpuElementWiseOp.MIN, |
| 95 | Op.Maximum: NpuElementWiseOp.MAX, |
| 96 | Op.LeakyRelu: NpuElementWiseOp.LRELU, |
| 97 | Op.Abs: NpuElementWiseOp.ABS, |
| 98 | Op.CLZ: NpuElementWiseOp.CLZ, |
| 99 | Op.SHR: NpuElementWiseOp.SHR, |
| 100 | Op.SHL: NpuElementWiseOp.SHL, |
| 101 | } |
| 102 | |
| 103 | |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 104 | def ifm_ifm2_correct_order(ifm_shape: List[int], ifm2_shape: List[int]) -> bool: |
| 105 | if ifm_shape == []: |
| 106 | # Scalar needs to be in IFM2 |
| 107 | return False |
| 108 | if ifm2_shape == []: |
| 109 | return True |
| 110 | |
| 111 | for ifm, ifm2 in zip(ifm_shape, ifm2_shape): |
| 112 | if ifm != ifm2 and ifm == 1: |
| 113 | # Broadcasted FM needs to be in IFM2 |
| 114 | return False |
| 115 | return True |
| 116 | |
| 117 | |
Patrik Gustavsson | b0ca274 | 2020-11-18 07:59:09 +0100 | [diff] [blame] | 118 | def get_rounding_mode(op: Operation, fused_quantize: bool) -> NpuRoundingMode: |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 119 | """Specifies type of rounding to be used""" |
| 120 | rounding_mode = NpuRoundingMode.TFL |
| 121 | if op.type == Op.ResizeBilinear: |
Dwight Lidman | 9d24393 | 2021-08-10 12:53:12 +0200 | [diff] [blame] | 122 | rounding_mode = NpuRoundingMode.NATURAL |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 123 | elif ( |
| 124 | op.type.npu_block_type in (NpuBlockType.ConvolutionMxN, NpuBlockType.ConvolutionDepthWise) |
| 125 | and op.ifm.dtype == DataType.int16 |
| 126 | ): |
| 127 | rounding_mode = NpuRoundingMode.NATURAL |
Patrik Gustavsson | b0ca274 | 2020-11-18 07:59:09 +0100 | [diff] [blame] | 128 | elif ( |
| 129 | not fused_quantize |
| 130 | and op.type.is_avgpool_op() |
| 131 | and op.memory_function == Op.ConcatSliceWrite |
| 132 | and op.kernel.elements_wh() == 1 |
| 133 | ): |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 134 | rounding_mode = NpuRoundingMode.NATURAL |
Louis Verhaard | 1a92f78 | 2021-02-09 16:08:26 +0100 | [diff] [blame] | 135 | if op.rounding_mode is not None: |
| 136 | rounding_mode = op.rounding_mode |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 137 | return rounding_mode |
| 138 | |
| 139 | |
| 140 | def create_padding(cmd: NpuStripe, primary_op: Operation) -> NpuPadding: |
| 141 | if primary_op.type.npu_block_type == NpuBlockType.VectorProduct: |
| 142 | return NpuPadding(top=0, left=0, bottom=0, right=0) |
Louis Verhaard | 69b3176 | 2020-11-17 09:45:20 +0100 | [diff] [blame] | 143 | top, left, bottom, right = primary_op.attrs["explicit_padding"] |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 144 | |
| 145 | # Check if this is for horizontal ifm streaming |
| 146 | if not (cmd.is_first_h_stripe and cmd.is_last_h_stripe): |
Louis Verhaard | 69b3176 | 2020-11-17 09:45:20 +0100 | [diff] [blame] | 147 | top = cmd.pad_top |
| 148 | bottom = cmd.pad_bottom |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 149 | |
Tim Hall | 3751aa4 | 2021-12-16 13:17:29 +0000 | [diff] [blame] | 150 | # the ifm box coordinate range depends upon whether the primary op was combined with a split slice read |
| 151 | ifm_read_offset = primary_op.read_offsets[0] |
| 152 | ifm_read_shape = primary_op.read_shapes[0] |
| 153 | if ifm_read_offset is None or len(ifm_read_offset) < 2: |
| 154 | box_start_coord_min = 0 |
| 155 | box_end_coord_max = cmd.ps.ifm_shapes[0].width |
| 156 | else: |
| 157 | box_start_coord_min = ifm_read_offset[-2] |
| 158 | box_end_coord_max = ifm_read_shape[-2] |
| 159 | |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 160 | # Indexing from end since a 1x1 Avgpool might have been added with non 4-dimensional input/output, |
| 161 | # because of activation function needed to be fused. |
Tim Hall | 3751aa4 | 2021-12-16 13:17:29 +0000 | [diff] [blame] | 162 | if len(cmd.ifm_box.start_coord) >= 2 and cmd.ifm_box.start_coord[-2] > box_start_coord_min: |
| 163 | left = 0 |
| 164 | if len(cmd.ifm_box.end_coord) >= 2 and cmd.ifm_box.end_coord[-2] < box_end_coord_max: |
| 165 | right = 0 |
Louis Verhaard | 69b3176 | 2020-11-17 09:45:20 +0100 | [diff] [blame] | 166 | return NpuPadding(top=top, left=left, bottom=bottom, right=right) |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 167 | |
| 168 | |
Louis Verhaard | 024c355 | 2021-03-17 14:26:34 +0100 | [diff] [blame] | 169 | def get_region(mem_type: MemType, arch: ArchitectureFeatures) -> int: |
Tim Hall | 1bd531d | 2020-11-01 20:59:36 +0000 | [diff] [blame] | 170 | base_ptr_idx_map = { |
| 171 | MemType.Permanent_NPU: BasePointerIndex.WeightTensor, |
| 172 | MemType.Permanent_CPU: BasePointerIndex.WeightTensor, |
| 173 | MemType.Scratch: BasePointerIndex.ScratchTensor, |
| 174 | } |
| 175 | |
| 176 | if arch.is_spilling_enabled(): |
| 177 | base_ptr_idx_map[MemType.Scratch_fast] = BasePointerIndex.ScratchFastTensor |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 178 | else: |
Tim Hall | 1bd531d | 2020-11-01 20:59:36 +0000 | [diff] [blame] | 179 | base_ptr_idx_map[MemType.Scratch_fast] = BasePointerIndex.ScratchTensor |
| 180 | |
Louis Verhaard | 024c355 | 2021-03-17 14:26:34 +0100 | [diff] [blame] | 181 | return base_ptr_idx_map[mem_type].value |
| 182 | |
| 183 | |
| 184 | def get_mem_limits_for_regions(arch: ArchitectureFeatures) -> Dict[int, int]: |
| 185 | """Returns map region -> max size of the region in bytes""" |
| 186 | mem_limits = dict() |
| 187 | for mem_type in MemType.all(): |
| 188 | mem_limits[get_region(mem_type, arch)] = arch.mem_type_size(mem_type) |
| 189 | mem_limits[BASE_PTR_INDEX_MEM2MEM] = arch.shram_size_bytes |
| 190 | return mem_limits |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 191 | |
| 192 | |
| 193 | def get_upscale(op: Operation) -> NpuResamplingMode: |
| 194 | upscale = NpuResamplingMode.NONE |
| 195 | if op.type == Op.ResizeBilinear: |
| 196 | # perform nearest neighbor upscale |
| 197 | upscale = NpuResamplingMode.NEAREST |
| 198 | elif op.type == Op.Conv2DBackpropInputSwitchedBias: |
| 199 | # perform insert zero upscale |
| 200 | upscale = NpuResamplingMode.TRANSPOSE |
| 201 | return upscale |
| 202 | |
| 203 | |
Louis Verhaard | e91b531 | 2022-01-21 13:38:50 +0100 | [diff] [blame] | 204 | def get_double_buffer_offset(arch: ArchitectureFeatures, range_index: int, core: int) -> int: |
| 205 | """Returns 0 if the first half of a double buffer should be used, 1 if the second half should be used""" |
| 206 | return ((range_index - core) // arch.ncores) % 2 |
| 207 | |
| 208 | |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 209 | def get_ifm_depth(npu_block_type: NpuBlockType, ifm_box: Box, ofm_box: Box) -> int: |
| 210 | if npu_block_type in (NpuBlockType.ConvolutionMxN, NpuBlockType.VectorProduct, NpuBlockType.ReduceSum): |
Louis Verhaard | 69b3176 | 2020-11-17 09:45:20 +0100 | [diff] [blame] | 211 | block = ifm_box.get_block() |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 212 | else: |
Louis Verhaard | 69b3176 | 2020-11-17 09:45:20 +0100 | [diff] [blame] | 213 | block = ofm_box.get_block() |
| 214 | return block.depth |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 215 | |
| 216 | |
| 217 | def use_zero_point_0(ps, tens: Tensor, is_ifm_tensor: bool) -> bool: |
| 218 | """Checks if quantization should use 0 as zero point""" |
| 219 | if tens.dtype == DataType.int32 and is_ifm_tensor: |
| 220 | return True |
| 221 | if ps.primary_op.type not in (Op.AvgPool, Op.ResizeBilinear, Op.CLZ, Op.SHL): |
| 222 | return False |
Patrik Gustavsson | c74682c | 2021-08-17 14:26:38 +0200 | [diff] [blame] | 223 | if ps.primary_op.type == Op.AvgPool and ps.primary_op.explicit_scaling: |
| 224 | return False |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 225 | fused_quantize = any(op.type == Op.Quantize for op in ps.ops) |
| 226 | forced_ofm_quantization = ps.primary_op.forced_output_quantization |
| 227 | use_0 = ( |
Fredrik Svedberg | 838df0a | 2021-09-17 16:29:22 +0200 | [diff] [blame] | 228 | ( |
| 229 | ps.primary_op.activation is None |
| 230 | or forced_ofm_quantization is not None |
Fredrik Svedberg | 6f87be4 | 2021-10-07 10:54:20 +0200 | [diff] [blame] | 231 | or ( |
| 232 | ps.primary_op.type.is_avgpool_op() |
| 233 | and ps.primary_op.activation.op_type.is_relu_op() |
| 234 | and not ps.primary_op.rescale |
| 235 | ) |
Fredrik Svedberg | 838df0a | 2021-09-17 16:29:22 +0200 | [diff] [blame] | 236 | ) |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 237 | and (ps.primary_op.memory_function != Op.ConcatSliceWrite) |
| 238 | and not fused_quantize |
| 239 | ) |
| 240 | return use_0 |
| 241 | |
| 242 | |
| 243 | def get_ifm_or_ifm2_quantization(ps, tens: Tensor) -> Optional[NpuQuantization]: |
| 244 | """Gets quantization for IFM/IFM2""" |
Dwight Lidman | 4f728c0 | 2020-12-17 15:14:45 +0100 | [diff] [blame] | 245 | op = ps.primary_op |
| 246 | ifm_quant = op.forced_input_quantization if op.forced_input_quantization is not None else tens.quantization |
| 247 | if ifm_quant is None: |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 248 | return None |
| 249 | if use_zero_point_0(ps, tens, True): |
| 250 | zero_point = 0 |
| 251 | else: |
Dwight Lidman | 4f728c0 | 2020-12-17 15:14:45 +0100 | [diff] [blame] | 252 | zero_point = int(ifm_quant.zero_point) |
| 253 | return NpuQuantization(scale_f32=ifm_quant.scale_f32, zero_point=zero_point) |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 254 | |
| 255 | |
| 256 | def get_ofm_quantization(ps, tens: Tensor) -> Optional[NpuQuantization]: |
| 257 | """Gets quantization for OFM""" |
| 258 | op = ps.primary_op |
| 259 | # Check if operation's output quantization is should be used instead of the output tensor's quantization |
| 260 | # (used in LUTs) |
| 261 | ofm_quant = op.forced_output_quantization if op.forced_output_quantization is not None else tens.quantization |
| 262 | if ofm_quant is None: |
| 263 | return None |
| 264 | if use_zero_point_0(ps, tens, False): |
| 265 | zero_point = 0 |
| 266 | else: |
| 267 | zero_point = int(ofm_quant.zero_point) |
| 268 | return NpuQuantization(scale_f32=ofm_quant.scale_f32, zero_point=zero_point) |
| 269 | |
| 270 | |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 271 | def create_feature_map(tens: Tensor, box: Box, arch: ArchitectureFeatures, op_shape4D: Shape4D) -> NpuFeatureMap: |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 272 | """Creates feature map with common fields populated""" |
| 273 | fm = NpuFeatureMap() |
Louis Verhaard | 024c355 | 2021-03-17 14:26:34 +0100 | [diff] [blame] | 274 | fm.region = get_region(tens.mem_type, arch) |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 275 | fm.data_type = dtype_map[tens.dtype] |
| 276 | if tens.format == TensorFormat.NHWC: |
| 277 | fm.layout = NpuLayout.NHWC |
| 278 | elif tens.format == TensorFormat.NHCWB16: |
| 279 | fm.layout = NpuLayout.NHCWB16 |
| 280 | else: |
| 281 | assert 0, "Incorrect tensor format" |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 282 | height_0, height_1, width_0, addresses = tens.addresses_for_rolling_buffer( |
| 283 | box.start_coord, box.end_coord, op_shape4D |
| 284 | ) |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 285 | for idx, addr in enumerate(addresses): |
| 286 | if addr is None: |
| 287 | addresses[idx] = 0 |
| 288 | fm.tiles = NpuTileBox( |
| 289 | height_0=height_0, height_1=height_1, width_0=width_0, addresses=[int(addr) for addr in addresses] |
| 290 | ) |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 291 | strides = tens.get_strides(shape4D=op_shape4D) |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 292 | fm.strides = NpuShape3D(height=int(strides[2]), width=int(strides[3]), depth=int(strides[1])) |
| 293 | return fm |
| 294 | |
| 295 | |
Tim Hall | d784af7 | 2021-06-08 21:25:57 +0100 | [diff] [blame] | 296 | def create_weights( |
| 297 | weight_tensor: Tensor, weight_box: Box, scale_tensor: Tensor, arch: ArchitectureFeatures |
| 298 | ) -> List[NpuAddressRange]: |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 299 | """Returns address ranges for weights and scales""" |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 300 | weights = [] |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 301 | biases = [] |
Tim Hall | d784af7 | 2021-06-08 21:25:57 +0100 | [diff] [blame] | 302 | shared_region = get_region(weight_tensor.mem_type, arch) |
| 303 | scale_region = scale_tensor and get_region(scale_tensor.mem_type, arch) |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 304 | |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 305 | w_tensor_src = weight_tensor |
| 306 | if weight_tensor.src_tensor: |
| 307 | w_tensor_src = weight_tensor.src_tensor |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 308 | |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 309 | core_offset = 0 |
| 310 | for core in range(0, arch.ncores): |
| 311 | # Get weight range per core |
| 312 | key = WeightKey(core, weight_box.start_coord[-1]) |
| 313 | if key in w_tensor_src.encoded_ranges: |
| 314 | weight_range = w_tensor_src.encoded_ranges[key] |
| 315 | if weight_tensor.sub_purpose == TensorSubPurpose.DoubleBuffer: |
| 316 | assert weight_tensor != w_tensor_src |
| 317 | # Double buffered inside weight_tensor |
Louis Verhaard | e91b531 | 2022-01-21 13:38:50 +0100 | [diff] [blame] | 318 | address = weight_tensor.address + core_offset |
| 319 | address += get_double_buffer_offset(arch, weight_range.index, core) * w_tensor_src.max_range_bytes |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 320 | core_offset += round_up(weight_range.total_bytes, 16) |
| 321 | else: |
| 322 | if weight_tensor == w_tensor_src: |
| 323 | # Straight from source tensor |
| 324 | address = weight_tensor.address + weight_range.offset |
| 325 | else: |
| 326 | # Single buffered inside weight tensor |
| 327 | address = weight_tensor.address + core_offset |
| 328 | core_offset += round_up(weight_range.total_bytes, 16) |
| 329 | |
| 330 | # Location of weights in tensor |
| 331 | addr_range = NpuAddressRange( |
Tim Hall | d784af7 | 2021-06-08 21:25:57 +0100 | [diff] [blame] | 332 | shared_region, int(address + weight_range.weight_offset), round_up(int(weight_range.weight_bytes), 16) |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 333 | ) |
| 334 | weights.append(addr_range) |
Tim Hall | d784af7 | 2021-06-08 21:25:57 +0100 | [diff] [blame] | 335 | |
| 336 | # Location of standalone scales or combined weights tensor scales |
| 337 | if scale_tensor: |
| 338 | assert scale_tensor.src_tensor is None # Must be standalone |
| 339 | scale_range = scale_tensor.encoded_ranges[key] |
| 340 | address = scale_tensor.address + scale_range.offset |
| 341 | addr_range = NpuAddressRange(scale_region, int(address), round_up(int(scale_range.scale_bytes), 16)) |
| 342 | else: |
| 343 | addr_range = NpuAddressRange(shared_region, int(address), round_up(int(weight_range.scale_bytes), 16)) |
| 344 | |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 345 | biases.append(addr_range) |
| 346 | |
| 347 | return weights, biases |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 348 | |
| 349 | |
| 350 | def create_npu_activation(op: Operation) -> NpuActivation: |
| 351 | """Creates fused activation function""" |
| 352 | if op.activation is None: |
| 353 | return NpuActivation(NpuActivationOp.NONE_OR_RELU) |
| 354 | faf = op.activation.op_type |
| 355 | act_op = NpuActivationOp.NONE_OR_RELU |
| 356 | if faf == Op.Tanh: |
| 357 | act_op = NpuActivationOp.TANH |
| 358 | elif faf == Op.Sigmoid: |
| 359 | act_op = NpuActivationOp.SIGMOID |
| 360 | elif faf == Op.LUT: |
| 361 | act_op = NpuActivationOp.TABLE_LOOKUP |
| 362 | elif not faf.is_relu_op(): |
Michael McGeagh | 7a6f843 | 2020-12-02 15:29:22 +0000 | [diff] [blame] | 363 | raise UnsupportedFeatureError(f"Unsupported fused_activation_function: {faf.name}") |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 364 | |
| 365 | act = NpuActivation(act_op) |
| 366 | act.min = op.activation.min |
| 367 | act.max = op.activation.max |
Fredrik Svedberg | 6f87be4 | 2021-10-07 10:54:20 +0200 | [diff] [blame] | 368 | if act_op is NpuActivationOp.NONE_OR_RELU and op.type.is_avgpool_op() and not op.rescale: |
Fredrik Svedberg | 838df0a | 2021-09-17 16:29:22 +0200 | [diff] [blame] | 369 | quant = op.ofm.quantization |
| 370 | if quant and quant.zero_point: # Zero point is not 0 |
| 371 | scale_f32 = 1 if quant.scale_f32 is None else quant.scale_f32 |
| 372 | zero_point = quant.zero_point |
| 373 | if act.min is not None: |
| 374 | act.min = scale_f32 * quantise_float32(act.min, scale_f32, zero_point) |
| 375 | if act.max is not None: |
| 376 | act.max = scale_f32 * quantise_float32(act.max, scale_f32, zero_point) |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 377 | act.lookup_table_index = op.activation.lut_index |
| 378 | return act |
| 379 | |
| 380 | |
| 381 | def set_common_op_fields(npu_op: NpuBlockOperation, cmd: NpuStripe, arch: ArchitectureFeatures): |
| 382 | """Sets common fields of the given operation""" |
| 383 | ps = cmd.ps |
| 384 | op = ps.primary_op |
Louis Verhaard | 69b3176 | 2020-11-17 09:45:20 +0100 | [diff] [blame] | 385 | |
| 386 | ifm_height = cmd.ifm_box.get_block().height |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 387 | ifm_width = cmd.ps.ifm_shapes[0].width |
Louis Verhaard | 69b3176 | 2020-11-17 09:45:20 +0100 | [diff] [blame] | 388 | ifm_depth = get_ifm_depth(op.type.npu_block_type, cmd.ifm_box, cmd.ofm_box) |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 389 | |
Patrik Gustavsson | 2349d42 | 2020-12-01 16:02:29 +0100 | [diff] [blame] | 390 | npu_op.ifm = create_feature_map(cmd.ifm_tensor, cmd.ifm_box, arch, ps.ifm_shapes[0]) |
Louis Verhaard | 69b3176 | 2020-11-17 09:45:20 +0100 | [diff] [blame] | 391 | npu_op.ifm.shape = NpuShape3D(height=ifm_height, width=ifm_width, depth=ifm_depth) |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 392 | npu_op.ifm.quantization = get_ifm_or_ifm2_quantization(ps, cmd.ifm_tensor) |
Louis Verhaard | 69b3176 | 2020-11-17 09:45:20 +0100 | [diff] [blame] | 393 | |
| 394 | out_block = cmd.ofm_box.get_block() |
Patrik Gustavsson | 2349d42 | 2020-12-01 16:02:29 +0100 | [diff] [blame] | 395 | npu_op.ofm = create_feature_map(cmd.ofm_tensor, cmd.ofm_box, arch, ps.ofm_shapes[0]) |
Louis Verhaard | 69b3176 | 2020-11-17 09:45:20 +0100 | [diff] [blame] | 396 | npu_op.ofm.shape = NpuShape3D(height=out_block.height, width=out_block.width, depth=out_block.depth) |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 397 | npu_op.ofm.quantization = get_ofm_quantization(ps, cmd.ofm_tensor) |
| 398 | |
| 399 | if cmd.weight_tensor is not None: |
Tim Hall | d784af7 | 2021-06-08 21:25:57 +0100 | [diff] [blame] | 400 | npu_op.weights, npu_op.biases = create_weights(cmd.weight_tensor, cmd.weight_box, cmd.scale_tensor, arch) |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 401 | npu_op.activation = create_npu_activation(op) |
Patrik Gustavsson | b0ca274 | 2020-11-18 07:59:09 +0100 | [diff] [blame] | 402 | npu_op.fused_quantize = any(op.type == Op.Quantize for op in ps.ops) |
| 403 | npu_op.rounding_mode = get_rounding_mode(op, npu_op.fused_quantize) |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 404 | npu_op.block_config = NpuShape3D(height=ps.block_config[0], width=ps.block_config[1], depth=ps.block_config[3]) |
| 405 | |
| 406 | if not op.type.is_elementwise_op(): |
| 407 | npu_op.padding = create_padding(cmd, op) |
| 408 | npu_op.kernel = to_npu_kernel(op.kernel) |
| 409 | npu_op.ifm_upscale = get_upscale(op) |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 410 | return npu_op |
| 411 | |
| 412 | |
| 413 | def create_npu_conv2d_op(cmd: NpuStripe, arch: ArchitectureFeatures) -> NpuConv2DOperation: |
| 414 | """Converts the command to NpuConv2DOperation""" |
| 415 | npu_op = NpuConv2DOperation() |
| 416 | set_common_op_fields(npu_op, cmd, arch) |
| 417 | if cmd.ps.primary_op.type.npu_block_type == NpuBlockType.VectorProduct: |
| 418 | npu_op.block_traversal = NpuBlockTraversal.DEPTH_FIRST |
| 419 | else: |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 420 | if cmd.weight_tensor.src_tensor: |
| 421 | npu_op.block_traversal = cmd.weight_tensor.src_tensor.hw_traversal |
| 422 | else: |
| 423 | npu_op.block_traversal = cmd.weight_tensor.hw_traversal |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 424 | return npu_op |
| 425 | |
| 426 | |
| 427 | def create_npu_conv_depthwise_op(cmd: NpuStripe, arch: ArchitectureFeatures) -> NpuConvDepthWiseOperation: |
| 428 | """Converts the command to NpuConvDepthWiseOperation""" |
| 429 | npu_op = NpuConvDepthWiseOperation() |
| 430 | set_common_op_fields(npu_op, cmd, arch) |
| 431 | return npu_op |
| 432 | |
| 433 | |
| 434 | def create_npu_pool_op(cmd: NpuStripe, arch: ArchitectureFeatures) -> NpuPoolingOperation: |
| 435 | """Converts the command to NpuPoolingOperation""" |
| 436 | ps = cmd.ps |
| 437 | op = ps.primary_op |
| 438 | pool_op = NpuPoolingOp.AVERAGE |
| 439 | if op.type.is_maxpool_op(): |
| 440 | pool_op = NpuPoolingOp.MAX |
| 441 | elif op.type.is_avgpool_op() or op.type == Op.ResizeBilinear: |
| 442 | pool_op = NpuPoolingOp.AVERAGE |
| 443 | elif op.type == Op.ReduceSum: |
| 444 | pool_op = NpuPoolingOp.REDUCE_SUM |
| 445 | else: |
| 446 | assert 0, f"Unknown pool type {op.type}" |
| 447 | npu_op = NpuPoolingOperation(pool_op) |
| 448 | set_common_op_fields(npu_op, cmd, arch) |
| 449 | # Pooling specific info |
Dwight Lidman | 4f728c0 | 2020-12-17 15:14:45 +0100 | [diff] [blame] | 450 | npu_op.rescale = op.rescale |
Patrik Gustavsson | c74682c | 2021-08-17 14:26:38 +0200 | [diff] [blame] | 451 | if op.explicit_scaling: |
| 452 | # Note: reuse of rescale for explicit scaling to not expose this in the external API |
| 453 | assert npu_op.rescale is None |
| 454 | npu_op.rescale = op.explicit_scaling |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 455 | return npu_op |
| 456 | |
| 457 | |
| 458 | def create_npu_elementwise_op(cmd: NpuStripe, arch: ArchitectureFeatures) -> NpuElementWiseOperation: |
| 459 | """Converts the command to NpuElementWiseOperation""" |
| 460 | ps = cmd.ps |
| 461 | op = ps.primary_op |
| 462 | assert op.type in elementwise_op_map, f"Unknown elementwise type {op.type}" |
| 463 | elemwise_op = elementwise_op_map[op.type] |
| 464 | npu_op = NpuElementWiseOperation(elemwise_op) |
Patrik Gustavsson | 2349d42 | 2020-12-01 16:02:29 +0100 | [diff] [blame] | 465 | |
Louis Verhaard | 1e17018 | 2020-11-26 11:42:04 +0100 | [diff] [blame] | 466 | if elemwise_op not in UNARY_ELEMWISE_OPS: |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 467 | ifm_shape = [] if cmd.ifm_tensor.shape == [] else ps.ifm_shapes[0].as_list() |
| 468 | ifm2_shape = [] if cmd.ifm2_tensor.shape == [] else ps.ifm_shapes[1].as_list() |
| 469 | if not ifm_ifm2_correct_order(ifm_shape, ifm2_shape): |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 470 | # The scalar/broadcasted feature map has to be the ifm2 tensor so switch the ifms |
| 471 | cmd.ifm_tensor, cmd.ifm2_tensor = cmd.ifm2_tensor, cmd.ifm_tensor |
| 472 | cmd.ifm_box, cmd.ifm2_box = cmd.ifm2_box, cmd.ifm_box |
Patrik Gustavsson | 2349d42 | 2020-12-01 16:02:29 +0100 | [diff] [blame] | 473 | ps.ifm_shapes[0], ps.ifm_shapes[1] = ps.ifm_shapes[1], ps.ifm_shapes[0] |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 474 | npu_op.reversed_operands = True |
Patrik Gustavsson | 2349d42 | 2020-12-01 16:02:29 +0100 | [diff] [blame] | 475 | npu_op.ifm2 = create_feature_map(cmd.ifm2_tensor, cmd.ifm2_box, arch, ps.ifm_shapes[1]) |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 476 | npu_op.ifm2.quantization = get_ifm_or_ifm2_quantization(ps, cmd.ifm2_tensor) |
| 477 | if cmd.ifm2_tensor.shape == []: |
| 478 | # scalar |
James Peet | 7519d50 | 2021-07-19 16:47:58 +0100 | [diff] [blame] | 479 | npu_op.ifm2_scalar = cmd.ifm2_tensor.get_scalar() |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 480 | npu_op.ifm2.shape = NpuShape3D(height=0, width=0, depth=0) |
| 481 | else: |
Louis Verhaard | 69b3176 | 2020-11-17 09:45:20 +0100 | [diff] [blame] | 482 | ifm2_blk = cmd.ifm2_box.get_block() |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 483 | ifm2_width = ps.ifm_shapes[1].width |
Louis Verhaard | 69b3176 | 2020-11-17 09:45:20 +0100 | [diff] [blame] | 484 | npu_op.ifm2.shape = NpuShape3D(height=ifm2_blk.height, width=ifm2_width, depth=ifm2_blk.depth) |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 485 | set_common_op_fields(npu_op, cmd, arch) |
| 486 | # Check if output scale needs to be overridden |
| 487 | output_scale = None |
| 488 | if op.type == Op.Add and "resizebilinear" in op.attrs: |
| 489 | # Force output scale same as the input scale for |
| 490 | # resizebilinear 1x1 that is converted to add |
| 491 | output_scale = npu_op.ifm2.quantization.scale_f32 |
Fredrik Svedberg | f2afd7f | 2021-02-01 21:42:12 +0100 | [diff] [blame] | 492 | if op.type == Op.Abs: |
| 493 | output_scale = npu_op.ifm.quantization.scale_f32 / npu_op.ofm.quantization.scale_f32 |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 494 | if op.type == Op.LeakyRelu: |
| 495 | output_scale = op.attrs["alpha"] |
Patrik Gustavsson | b081d67 | 2021-08-25 13:49:25 +0200 | [diff] [blame] | 496 | if op.type in (Op.RescaleAdd, Op.RescaleMul): |
Fredrik Svedberg | e82be7c | 2021-01-18 15:21:03 +0100 | [diff] [blame] | 497 | assert op.rescale is not None, f"{op.type} must have rescale" |
| 498 | npu_op.rescale = op.rescale |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 499 | if op.type in (Op.Add, Op.Mul, Op.Sub): |
| 500 | if op.activation is not None and op.activation.op_type in (Op.Sigmoid, Op.Tanh): |
| 501 | output_scale = 1 / 0x3000 |
| 502 | if output_scale is not None: |
| 503 | npu_op.ofm.quantization = NpuQuantization(scale_f32=output_scale, zero_point=npu_op.ofm.quantization.zero_point) |
| 504 | return npu_op |
| 505 | |
| 506 | |
| 507 | def create_dma_op(cmd: DMA, arch: ArchitectureFeatures) -> NpuDmaOperation: |
| 508 | """Converts the command to NpuDmaOperation""" |
Louis Verhaard | 024c355 | 2021-03-17 14:26:34 +0100 | [diff] [blame] | 509 | src_region = get_region(cmd.in_tensor.mem_type, arch) |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 510 | if cmd.out_tensor.purpose == TensorPurpose.LUT: |
Louis Verhaard | 1e17018 | 2020-11-26 11:42:04 +0100 | [diff] [blame] | 511 | dest_region = BASE_PTR_INDEX_MEM2MEM |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 512 | else: |
Louis Verhaard | 024c355 | 2021-03-17 14:26:34 +0100 | [diff] [blame] | 513 | dest_region = get_region(cmd.out_tensor.mem_type, arch) |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 514 | |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 515 | if cmd.in_tensor.purpose == TensorPurpose.Weights: |
| 516 | # Get weight range per core |
| 517 | sz = 0 |
| 518 | for core in range(0, arch.ncores): |
| 519 | key = WeightKey(core, cmd.box.start_coord[-1]) |
| 520 | if key in cmd.in_tensor.encoded_ranges: |
| 521 | weight_range = cmd.in_tensor.encoded_ranges[key] |
| 522 | sz += round_up(weight_range.total_bytes, 16) |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 523 | |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 524 | if core == 0: |
| 525 | weight_range = cmd.in_tensor.encoded_ranges[key] |
| 526 | src_addr = cmd.in_tensor.address + weight_range.offset |
| 527 | |
| 528 | if cmd.out_tensor.sub_purpose == TensorSubPurpose.DoubleBuffer: |
| 529 | dest_addr = cmd.out_tensor.address + cmd.in_tensor.max_range_bytes * ( |
Louis Verhaard | e91b531 | 2022-01-21 13:38:50 +0100 | [diff] [blame] | 530 | get_double_buffer_offset(arch, weight_range.index, core) |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 531 | ) |
| 532 | else: |
| 533 | dest_addr = cmd.out_tensor.address |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 534 | else: |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 535 | start_coord = cmd.box.start_coord |
| 536 | src_addr = cmd.in_tensor.address_for_coordinate(start_coord) |
| 537 | dest_addr = cmd.out_tensor.address_for_coordinate(start_coord) |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 538 | sz = cmd.in_tensor.address_for_coordinate(cmd.box.end_coord, is_top_box=True) - src_addr |
| 539 | src = NpuAddressRange(src_region, int(src_addr), int(sz)) |
| 540 | dest = NpuAddressRange(dest_region, int(dest_addr), int(sz)) |
| 541 | return NpuDmaOperation(src, dest) |
| 542 | |
| 543 | |
| 544 | def convert_command_to_npu_op(cmd: Command, arch: ArchitectureFeatures) -> NpuOperation: |
| 545 | """Converts the high level command to NpuOperation""" |
Dwight Lidman | 9b43f84 | 2020-12-08 17:56:44 +0100 | [diff] [blame] | 546 | npu_op: NpuOperation |
| 547 | if isinstance(cmd, DMA): |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 548 | npu_op = create_dma_op(cmd, arch) |
Dwight Lidman | 9b43f84 | 2020-12-08 17:56:44 +0100 | [diff] [blame] | 549 | elif isinstance(cmd, NpuStripe): |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 550 | npu_block_type = cmd.ps.primary_op.type.npu_block_type |
| 551 | if npu_block_type in (NpuBlockType.ConvolutionMxN, NpuBlockType.VectorProduct): |
| 552 | npu_op = create_npu_conv2d_op(cmd, arch) |
| 553 | elif npu_block_type == NpuBlockType.ConvolutionDepthWise: |
| 554 | npu_op = create_npu_conv_depthwise_op(cmd, arch) |
| 555 | elif npu_block_type in (NpuBlockType.Pooling, NpuBlockType.ReduceSum): |
| 556 | npu_op = create_npu_pool_op(cmd, arch) |
| 557 | elif npu_block_type == NpuBlockType.ElementWise: |
| 558 | npu_op = create_npu_elementwise_op(cmd, arch) |
| 559 | else: |
| 560 | assert 0, f"Unknown command type {npu_block_type}" |
Louis Verhaard | e8a5a78 | 2020-11-02 18:04:27 +0100 | [diff] [blame] | 561 | return npu_op |
Louis Verhaard | 1e17018 | 2020-11-26 11:42:04 +0100 | [diff] [blame] | 562 | |
| 563 | |
| 564 | def generate_register_command_stream_for_sg(nng, sg, arch, verbose=False): |
| 565 | """Generates command stream for the subgraph, adds it to sg.register_command_stream""" |
| 566 | # Convert high level command stream to list of NpuOperation |
| 567 | npu_op_list = [] |
| 568 | npu_op_to_cmd = dict() # map from npu op to high level command |
| 569 | for cmd in sg.high_level_command_stream: |
Dwight Lidman | 9b43f84 | 2020-12-08 17:56:44 +0100 | [diff] [blame] | 570 | if isinstance(cmd, NpuStripe) and cmd.ps.npu_block_type == NpuBlockType.Default: |
Louis Verhaard | 1e17018 | 2020-11-26 11:42:04 +0100 | [diff] [blame] | 571 | print("Warning: Skipping register command stream generation for", cmd.ps) |
| 572 | else: |
| 573 | npu_op = convert_command_to_npu_op(cmd, arch) |
| 574 | npu_op_list.append(npu_op) |
| 575 | npu_op_to_cmd[npu_op] = cmd |
Louis Verhaard | 024c355 | 2021-03-17 14:26:34 +0100 | [diff] [blame] | 576 | mem_limits = get_mem_limits_for_regions(arch) |
Louis Verhaard | 1e17018 | 2020-11-26 11:42:04 +0100 | [diff] [blame] | 577 | # Generate register commands |
erik.andersson@arm.com | ad45f79 | 2021-02-03 10:20:16 +0100 | [diff] [blame] | 578 | if len(sg.high_level_command_stream) > 0: |
| 579 | stream_id = DebugDatabase.add_stream(sg) |
| 580 | sg.generated_stream_id = stream_id |
Louis Verhaard | 1e17018 | 2020-11-26 11:42:04 +0100 | [diff] [blame] | 581 | |
erik.andersson@arm.com | ad45f79 | 2021-02-03 10:20:16 +0100 | [diff] [blame] | 582 | def add_to_debug_db(npu_op: NpuOperation, offset: int): |
| 583 | """Adds info to the debug database""" |
| 584 | if not isinstance(npu_op, NpuDmaOperation): |
| 585 | cmd = npu_op_to_cmd[npu_op] |
| 586 | DebugDatabase.add_command(stream_id, offset, cmd.ps.primary_op) |
Louis Verhaard | 1e17018 | 2020-11-26 11:42:04 +0100 | [diff] [blame] | 587 | |
Louis Verhaard | 024c355 | 2021-03-17 14:26:34 +0100 | [diff] [blame] | 588 | sg.register_command_stream = generate_command_stream( |
| 589 | npu_op_list, arch, verbose, mem_limits, add_to_debug_db, npu_op_to_cmd |
| 590 | ) |