diff options
Diffstat (limited to 'ethosu/vela/register_command_stream_generator.py')
-rw-r--r-- | ethosu/vela/register_command_stream_generator.py | 451 |
1 files changed, 38 insertions, 413 deletions
diff --git a/ethosu/vela/register_command_stream_generator.py b/ethosu/vela/register_command_stream_generator.py index 741b09c1..d4947b1a 100644 --- a/ethosu/vela/register_command_stream_generator.py +++ b/ethosu/vela/register_command_stream_generator.py @@ -18,16 +18,13 @@ # all the register settings. Calculates dependencies between commands and inserts wait operations. And generates a bit # stream suitable for interpretation by the Ethos-U processor. from collections import defaultdict -from collections import namedtuple from enum import Enum from enum import IntEnum from typing import List from typing import Optional -from typing import Tuple import numpy as np -from . import numeric_util from . import scaling from .api import NpuAccelerator from .api import NpuActivation @@ -57,10 +54,8 @@ from .architecture_features import Accelerator from .architecture_features import ArchitectureFeatures from .architecture_features import Block from .architecture_features import create_default_arch -from .architecture_features import Rect from .architecture_features import SharedBufferArea from .architecture_features import SHRAMElements -from .debug_database import DebugDatabase from .ethos_u55_regs.ethos_u55_regs import acc_format from .ethos_u55_regs.ethos_u55_regs import activation from .ethos_u55_regs.ethos_u55_regs import cmd0 @@ -69,17 +64,20 @@ from .ethos_u55_regs.ethos_u55_regs import elementwise_mode from .ethos_u55_regs.ethos_u55_regs import pooling_mode from .ethos_u55_regs.ethos_u55_regs import resampling_mode from .ethos_u55_regs.ethos_u55_regs import rounding -from .high_level_command_stream import CommandType -from .high_level_command_to_npu_op import convert_command_to_npu_op -from .high_level_command_to_npu_op import to_kernel -from .high_level_command_to_npu_op import unary_elementwise_ops from .numeric_util import quantise_float32 from .numeric_util import round_away_zero from .numeric_util import round_up_to_int from .operation import NpuBlockType -from .range_set import AccessDirection -from .range_set import MemoryAccessSet -from .range_set import MemoryRangeSet +from .register_command_stream_util import calc_blockdep +from .register_command_stream_util import get_dma_memory_accesses +from .register_command_stream_util import get_op_memory_accesses +from .register_command_stream_util import get_strides +from .register_command_stream_util import get_wait_dependency +from .register_command_stream_util import has_ifm2 +from .register_command_stream_util import is_dma_op +from .register_command_stream_util import to_kernel +from .register_command_stream_util import UNARY_ELEMWISE_OPS +from .register_command_stream_util import Watermark from .shared_buffer_allocation import find_suitable_block_configs from .shared_buffer_allocation import shared_buffer_allocation_for_npu_op from .shared_buffer_allocation import SharedBufferAllocation @@ -203,13 +201,6 @@ class CommandStreamEmitter: # ------------------------------------------------------------------- -class BasePointerIndex(IntEnum): - WeightTensor = 0 # base address index for the Weight tensor - ScratchTensor = 1 # base address index for the Scratch_tensor in the TensorArena - ScratchFastTensor = 2 # base address for the Scratch_fast_tensor - Mem2Mem = (1 << 8) | (3 << 0) # base address slot for memory 2 memory transfer - - # TODO: Replace with definitions from ethos_u55_regs class IFM2Broadcast(IntEnum): BroadcastHdim = 1 << 0 @@ -275,16 +266,6 @@ def quantise(value: float, quant: Optional[NpuQuantization]) -> int: return quantise_float32(value, scale, zp) -def has_ifm2(npu_op: NpuBlockOperation) -> bool: - """Checks if op has non-scalar IFM2""" - return npu_op.ifm2 is not None and npu_op.ifm2_scalar is None - - -def is_dma_op(npu_op: NpuOperation) -> bool: - """Checks if op is a DMA operation""" - return npu_op.op_type == NpuOperationType.Dma - - def generate_padding(emit: CommandStreamEmitter, padding: NpuPadding): """Generates IFM_PAD registers""" emit.cmd0_with_param(cmd0.NPU_SET_IFM_PAD_TOP, padding.top) @@ -584,6 +565,15 @@ def create_shared_buffer(npu_op: NpuBlockOperation, arch: ArchitectureFeatures) return shared_buffer_allocation_for_npu_op(arch, npu_op, block_type, ifm_resampling_mode) +def generate_cmd_waits(emit: CommandStreamEmitter, cmd_waits: Watermark): + """Generates KERNEL_WAIT/DMA_WAIT""" + if cmd_waits.npu >= 0: + emit.cmd_wait(cmd0.NPU_OP_KERNEL_WAIT, 0, cmd_waits.npu) + + if cmd_waits.dma >= 0: + emit.cmd_wait(cmd0.NPU_OP_DMA_WAIT, 0, cmd_waits.dma) + + def generate_common( emit: CommandStreamEmitter, npu_op: NpuBlockOperation, @@ -735,353 +725,6 @@ def generate_scaling_for_elementwise(emit: CommandStreamEmitter, npu_op: NpuElem # ------------------------------------------------------------------- -# ADDRESSING/STRIDES (helper functions) -# ------------------------------------------------------------------- - - -def ranges_overlap(range1: NpuAddressRange, range2: NpuAddressRange) -> bool: - """Checks if the ranges overlap""" - return range1.region == range2.region and numeric_util.overlaps( - range1.address, range1.address + range1.length, range2.address, range2.address + range2.length - ) - - -def range_lists_overlap(list1: List[Optional[NpuAddressRange]], list2: List[Optional[NpuAddressRange]]) -> bool: - """Checks if there is any address overlap between list1 and list2""" - for range1 in list1: - if range1 is None: - continue - for range2 in list2: - if range2 is not None and ranges_overlap(range1, range2): - return True - return False - - -def get_strides(fm: NpuFeatureMap) -> NpuShape3D: - """Calculates STRIDE_C/Y/X""" - if fm.strides is not None: - return fm.strides - elem_size = fm.data_type.size_in_bytes() - if fm.layout == NpuLayout.NHWC: - stride_c = elem_size - stride_x = fm.shape.depth * stride_c - stride_y = fm.shape.width * stride_x - else: - stride_x = 16 * elem_size - stride_c = stride_x * fm.shape.width - stride_y = elem_size * fm.shape.width * numeric_util.round_up(fm.shape.depth, 16) - return NpuShape3D(depth=stride_c, height=stride_y, width=stride_x) - - -def get_address(fm: NpuFeatureMap, strides: NpuShape3D, y: int, x: int, c: int) -> int: - """Returns address of given coordinate""" - t = 0 - BRICK = 16 - stride_c = BRICK * fm.data_type.size_in_bytes() if fm.layout == NpuLayout.NHWC else strides.depth - stride_x = BRICK * fm.data_type.size_in_bytes() if fm.layout == NpuLayout.NHCWB16 else strides.width - if x >= fm.tiles.width_0: - x -= fm.tiles.width_0 - t = 1 - if y >= fm.tiles.height_1: - y -= fm.tiles.height_1 - t += 2 - elif y >= fm.tiles.height_0: - y -= fm.tiles.height_0 - t += 2 - elem_size = fm.data_type.size_in_bytes() - return ( - fm.tiles.addresses[t] + y * strides.height + x * stride_x + (c // BRICK) * stride_c + int(c % BRICK) * elem_size - ) - - -def get_address_range( - fm: NpuFeatureMap, strides: NpuShape3D, y0: int, x0: int, c0: int, y1: int, x1: int, c1: int -) -> NpuAddressRange: - """ - Gets address range for (y0, x0, c0) - (y1, x1, c1) (inclusive, so the second coordinate is within the fm). - The begin and end coordinates must be within the same tile. - """ - addr0 = get_address(fm, strides, y0, x0, c0) - addr1 = get_address(fm, strides, y1, x1, c1) - return NpuAddressRange(region=fm.region, address=addr0, length=addr1 - addr0 + fm.data_type.size_in_bytes()) - - -def get_h_ranges( - fm: NpuFeatureMap, strides: NpuShape3D, y0: int, x0: int, c0: int, y1: int, x1: int, c1: int -) -> List[NpuAddressRange]: - """ - Gets address ranges for (y0, x0, c0) - (y1, x1, c1) (inclusive, so the second coordinate is within the fm); - the begin and end coordinates must be within the same tile. - Divides the area in horizontal "stripes" of height 1, and returns the address ranges for these "stripes". - """ - return [get_address_range(fm, strides, y, x0, c0, y, x1, c1) for y in range(y0, y1 + 1)] - - -def get_address_ranges_for_area( - fm: NpuFeatureMap, y0: int, x0: int, c0: int, y1: int, x1: int, c1: int -) -> List[NpuAddressRange]: - """ - Returns a list of adddress ranges that covers the area (y0, x0, c0) - (y1, x1, c1) (inclusive). - Divides the area in horizontal "stripes" of height 1, and returns the address ranges for these "stripes". - - For example, for the area marked with X (in a feature map with 4 tiles) as input, this function would return - 6 address ranges: the address ranges for 1-height areas [AAA, BBB, CC, DD, EEE, FF] - - .....|.... .....|.... - t0 ..XXX|XX.. t1 t0 ..AAA|CC.. t1 - ..XXX|XX.. ..BBB|DD.. - -----+---- --> -----+---- - t2 ..XXX|XX.. t3 t2 ..EEE|FF.. t3 - .....|.... .....|.... - """ - strides = get_strides(fm) - height_0, height_1, width_0 = fm.tiles.height_0, fm.tiles.height_1, fm.tiles.width_0 - h, w, c = fm.shape - y2, x2, c2 = min(y1, h - 1), min(x1, w - 1), min(c1, c - 1) - ranges = [] - if x0 < width_0 and y0 < height_0: - # Horizontal ranges for tile 0 - ranges.extend(get_h_ranges(fm, strides, y0, x0, c0, min(y2, height_0 - 1), min(x2, width_0 - 1), c2)) - if x2 >= width_0 and y0 < height_1: - # Horizontal ranges for tile 1 - ranges.extend(get_h_ranges(fm, strides, y0, max(x0, width_0), c0, min(y2, height_1 - 1), x2, c2)) - if x0 < width_0 and y2 >= height_0: - # Horizontal ranges for tile 2 - ranges.extend(get_h_ranges(fm, strides, max(y0, height_0), x0, c0, y2, min(x2, width_0 - 1), c2)) - if x2 >= width_0 and y2 >= height_1: - # Horizontal ranges for tile 3 - ranges.extend(get_h_ranges(fm, strides, max(y0, height_1), max(x0, width_0), c0, y2, x2, c2)) - return ranges - - -def get_address_ranges(fm: NpuFeatureMap) -> List[Optional[NpuAddressRange]]: - """Returns 4 adddress ranges, one for every tile, None if the tile is not in use""" - strides = get_strides(fm) - height, width, depth = fm.shape.height, fm.shape.width, fm.shape.depth - height_0, height_1, width_0 = fm.tiles.height_0, fm.tiles.height_1, fm.tiles.width_0 - t0 = get_address_range(fm, strides, 0, 0, 0, min(height, height_0) - 1, min(width, width_0) - 1, depth - 1,) - if width > width_0: - t1 = get_address_range(fm, strides, 0, width_0, 0, min(height, height_1) - 1, width - 1, depth - 1) - else: - t1 = None - if height > height_0: - t2 = get_address_range(fm, strides, height_0, 0, 0, height - 1, min(width, width_0) - 1, depth - 1) - else: - t2 = None - if t1 is not None and t2 is not None: - t3 = get_address_range(fm, strides, height_1, width_0, 0, height - 1, width - 1, depth - 1) - else: - t3 = None - return [t0, t1, t2, t3] - - -# ------------------------------------------------------------------- -# DMA_WAIT/KERNEL_WAIT -# ------------------------------------------------------------------- - - -Watermark = namedtuple("Watermark", ["npu", "dma"]) - - -def memory_range_set(range: NpuAddressRange) -> MemoryRangeSet: - return MemoryRangeSet(range.region, range.address, range.address + range.length) - - -def get_dma_memory_accesses(dma_op: NpuDmaOperation) -> MemoryAccessSet: - """Returns the address that are read and written by the given DMA operation""" - res = MemoryAccessSet() - res.add(memory_range_set(dma_op.src), AccessDirection.Read) - res.add(memory_range_set(dma_op.dest), AccessDirection.Write) - return res - - -def get_op_memory_accesses(npu_op: NpuBlockOperation, arch: ArchitectureFeatures) -> MemoryAccessSet: - """Returns the addresses that are read and written by the given operation""" - assert npu_op.ifm is not None and npu_op.ofm is not None - # Read addresses - read_ranges = get_address_ranges(npu_op.ifm) - if has_ifm2(npu_op): - assert npu_op.ifm2 is not None - read_ranges.extend(get_address_ranges(npu_op.ifm2)) - read_ranges.extend(npu_op.weights) - read_ranges.extend(npu_op.biases) - if npu_op.activation is not None and npu_op.activation.op_type == NpuActivationOp.TABLE_LOOKUP: - address = arch.available_shram_banks(True) * arch.shram_bank_size - read_ranges.append(NpuAddressRange(region=BasePointerIndex.Mem2Mem, address=address, length=2048)) - # Written addresses - write_ranges = get_address_ranges(npu_op.ofm) - # Add write access to SHRAM, needed when LUTs can overwrite accumulator banks - uses_lut = npu_op.activation is not None and npu_op.activation.op_type == NpuActivationOp.TABLE_LOOKUP - written_shram_size = arch.available_shram_banks(uses_lut) * arch.shram_bank_size - write_ranges.append(NpuAddressRange(region=BasePointerIndex.Mem2Mem, address=0, length=written_shram_size)) - - res = MemoryAccessSet() - for read_range in read_ranges: - if read_range is not None: - res.add(memory_range_set(read_range), AccessDirection.Read) - for write_range in write_ranges: - if write_range is not None: - res.add(memory_range_set(write_range), AccessDirection.Write) - return res - - -def get_wait_dependency( - arch: ArchitectureFeatures, npu_op_list: List[NpuOperation], memory_accesses, op_index: int, watermark: Watermark -): - """Used to calculate whether DMA wait or kernel wait operations are needed""" - npu_op = npu_op_list[op_index] - op_access = memory_accesses[npu_op] - index = op_index - 1 - - # NPU dependency tracking - npu_outstanding = -1 - npu_ops = 0 - npu_index = watermark.npu - - # DMA dependency tracking - dma_outstanding = -1 - dma_ops = 0 - dma_index = watermark.dma - - # Seek back in the command stream looking for NPU or DMA dependencies - # but only as far as the first dependency or the watermarks (dependencies - # before this point have been satisfied already). - # The watermark moves to after the latest element we must wait for, not - # the command that issues the wait. - # NPU->NPU dependency is handled via blockdep. - while (index >= npu_index) or (index >= dma_index): - prev_op = npu_op_list[index] - prev_access = memory_accesses[prev_op] - - # Check NPU consuming DMA output - if is_dma_op(prev_op): - if index >= dma_index: - if not is_dma_op(npu_op): - if (dma_outstanding == -1) and prev_access.conflicts(op_access): - dma_outstanding = dma_ops - dma_ops += 1 # Count DMA ops in the pipeline - if dma_ops >= arch.max_outstanding_dma: - dma_index = max(index + 1, dma_index) - # Check DMA consuming NPU output - else: - if index >= npu_index: - if is_dma_op(npu_op) and npu_outstanding == -1 and prev_access.conflicts(op_access): - npu_outstanding = npu_ops - npu_ops += 1 # Count NPU ops in the pipeline - if npu_ops >= arch.max_outstanding_kernels: - npu_index = max(index + 1, npu_index) - - index -= 1 - - # Update DMA watermark if we didn't see any and the NPU pipeline is full - if (dma_ops == 0) and (npu_ops >= arch.max_outstanding_kernels): - dma_index = op_index - - # Bring the search watermark forwards as we complete for those dependencies - watermark = Watermark(npu_index, dma_index) - outstanding = Watermark(npu_outstanding, dma_outstanding) - - return watermark, outstanding - - -def generate_cmd_waits(emit: CommandStreamEmitter, cmd_waits: Watermark): - if cmd_waits.npu >= 0: - emit.cmd_wait(cmd0.NPU_OP_KERNEL_WAIT, 0, cmd_waits.npu) - - if cmd_waits.dma >= 0: - emit.cmd_wait(cmd0.NPU_OP_DMA_WAIT, 0, cmd_waits.dma) - - -# ------------------------------------------------------------------- -# BLOCKDEP -# ------------------------------------------------------------------- - - -def shape3d_size(shape: NpuShape3D) -> int: - return shape.width * shape.height * shape.depth - - -def shape3d_to_rect(shape: NpuShape3D) -> Rect: - return Rect(0, 0, 0, shape.width - 1, shape.height - 1, shape.depth - 1) - - -def get_ifm_ofm_block_depth(arch: ArchitectureFeatures, npu_op: NpuBlockOperation) -> int: - # Note: NOT equivalent to the normal ifm block depth calculation since - # it takes into account 'depthless' block operations by returning full - # depth - if npu_op.op_type == NpuOperationType.Conv2D: - res = arch.calc_ifm_block_depth(npu_op.ifm.shape.depth, npu_op.ifm.data_type.size_in_bits()) - return res - return npu_op.ofm.shape.depth - - -def calc_blockdep(arch: ArchitectureFeatures, prev_op: Optional[NpuBlockOperation], npu_op: NpuBlockOperation,) -> int: - """Calculates the value of the BLOCKDEP register""" - if prev_op is None: - return 0 - assert npu_op.ifm is not None - assert prev_op.ofm is not None - # Check if IFM or IFM2 overlaps with prev op's OFM - prev_ofm_ranges = get_address_ranges(prev_op.ofm) - ifm_ranges = get_address_ranges(npu_op.ifm) - ifm_overlaps = range_lists_overlap(prev_ofm_ranges, ifm_ranges) - if has_ifm2(npu_op): - assert npu_op.ifm2 is not None - ifm2_ranges = get_address_ranges(npu_op.ifm2) - ifm2_overlaps = range_lists_overlap(prev_ofm_ranges, ifm2_ranges) - else: - ifm2_overlaps = False - if ifm_overlaps and ifm2_overlaps: - # Both IFM and IFM2 overlap (should be rare) - return 0 - if not ifm_overlaps and not ifm2_overlaps: - # No overlap between prev OFM and IFM/IFM2 - return ArchitectureFeatures.MAX_BLOCKDEP - if ifm2_overlaps and shape3d_size(npu_op.ifm2.shape) < shape3d_size(npu_op.ifm.shape): - # Prev OFM produces IFM2 which is broadcasted (this should be rare) - return 0 - prev_block_config = prev_op.block_config - block_config = npu_op.block_config - overlapping_fm = npu_op.ifm if ifm_overlaps else npu_op.ifm2 - assert overlapping_fm is not None - - def intersects(ifm_start_coord: Tuple, ifm_end_coord: Tuple, ofm_start_coord: Tuple, ofm_end_coord: Tuple) -> bool: - """Checks if the given IFM area overlaps with the given OFM area""" - if overlapping_fm.shape == prev_op.ofm.shape and overlapping_fm.tiles == prev_op.ofm.tiles: - # Common case: prev_op.ofm == op.ifm; in this case it suffices to check - # if the xyz coordinates overlap, which is quick and easy - return ArchitectureFeatures.intersects(ifm_start_coord, ifm_end_coord, ofm_start_coord, ofm_end_coord) - # The OFM produces a part of the IFM (e.g. a stripe), or the IFM consumes part of the OFM. - # In this case address comparison is needed between the two areas - x0, y0, c0 = ifm_start_coord - x1, y1, c1 = ifm_end_coord - ifm_ranges = get_address_ranges_for_area(overlapping_fm, y0, x0, c0, y1, x1, c1) - x0, y0, c0 = ofm_start_coord - x1, y1, c1 = ofm_end_coord - prev_ofm_ranges = get_address_ranges_for_area(prev_op.ofm, y0, x0, c0, y1, x1, c1) - return range_lists_overlap(ifm_ranges, prev_ofm_ranges) - - prev_ofm_block = Block(prev_block_config.width, prev_block_config.height, prev_block_config.depth) - prev_ofm_rect = shape3d_to_rect(prev_op.ofm.shape) - cur_ifm_block_depth = get_ifm_ofm_block_depth(arch, npu_op) - cur_ofm_block = Block(block_config.width, block_config.height, block_config.depth) - cur_ofm_rect = shape3d_to_rect(npu_op.ofm.shape) - cur_ifm_rect = shape3d_to_rect(npu_op.ifm.shape) - cur_padLT = (0, 0) if npu_op.padding is None else (npu_op.padding.left, npu_op.padding.top) - return arch.calc_block_dep( - prev_ofm_rect, - prev_ofm_block, - cur_ifm_rect, - cur_ofm_rect, - cur_ifm_block_depth, - cur_ofm_block, - to_kernel(npu_op.kernel), - cur_padLT, - intersects=intersects, - ) - - -# ------------------------------------------------------------------- # PRINT # ------------------------------------------------------------------- @@ -1209,7 +852,7 @@ def generate_elementwise_op(emit: CommandStreamEmitter, npu_op: NpuElementWiseOp emit, npu_op, NpuBlockTraversal.DEPTH_FIRST, arch, use_global_scale=use_global_scale, op_to_scale=op_to_scale ) # Elementwise op specific - if npu_op.sub_op_type not in unary_elementwise_ops: + if npu_op.sub_op_type not in UNARY_ELEMWISE_OPS: # Binary operation; generate IFM2 registers assert npu_op.ifm2 is not None has_scalar = npu_op.ifm2_scalar is not None @@ -1253,9 +896,15 @@ def generate_registers_for_op(emit: CommandStreamEmitter, npu_op: NpuOperation, def generate_command_stream( - emit: CommandStreamEmitter, npu_op_list: List[NpuOperation], arch: ArchitectureFeatures, add_to_debug_db=None -): - """Generates register commands for the given list of NPU operations""" + npu_op_list: List[NpuOperation], arch: ArchitectureFeatures, verbose: bool, add_to_debug_db=None, +) -> List[int]: + """ + Generates register commands for the given list of NPU operations. + Returns Ethos-U instructions, as a list of 32-bit integers. + """ + emit = CommandStreamEmitter() + if verbose: + print_operations(npu_op_list) # Calculate memory accesses for every operation memory_accesses = {} for npu_op in npu_op_list: @@ -1285,39 +934,17 @@ def generate_command_stream( add_to_debug_db(npu_op, emit.offset) # Fill in final part of command stream: emit.cmd_do_operation(cmd0.NPU_OP_STOP, param=0xFFFF) - - -def generate_register_command_stream_for_sg(nng, sg, arch, verbose=False): - """Generates command stream for the subgraph, adds it to sg.register_command_stream""" - # Convert high level command stream to list of NpuOperation - npu_op_list = [] - npu_op_to_cmd = dict() # map from npu op to high level command - for cmd in sg.high_level_command_stream: - if cmd.cmdtype == CommandType.NpuStripe and cmd.ps.npu_block_type == NpuBlockType.Default: - print("Warning: Skipping register command stream generation for", cmd.ps) - else: - npu_op = convert_command_to_npu_op(cmd, arch) - npu_op_list.append(npu_op) - npu_op_to_cmd[npu_op] = cmd - if verbose: - print_operations(npu_op_list) - # Generate register commands - stream_id = DebugDatabase.add_stream(sg) - DebugDatabase.set_stream_offset(sg, 0) # Default to zero, can only set during file writing - emit = CommandStreamEmitter() - - def add_to_debug_db(npu_op: NpuOperation, offset: int): - """Adds info to the debug database""" - if not is_dma_op(npu_op): - cmd = npu_op_to_cmd[npu_op] - DebugDatabase.add_command(stream_id, offset, cmd.ps.primary_op) - - generate_command_stream(emit, npu_op_list, arch, add_to_debug_db) - sg.register_command_stream = emit.to_list() + res = emit.to_list() if verbose: emit.print_cmds() print("number of commands", len(emit.cmd_stream)) - print("command stream length in words", len(sg.register_command_stream)) + print("command stream length in words", len(res)) + return res + + +# ------------------------------------------------------------------- +# EXTERNAL API +# ------------------------------------------------------------------- def find_block_configs(npu_op: NpuOperation, npu_accelerator: NpuAccelerator) -> List[NpuShape3D]: @@ -1342,7 +969,5 @@ def generate_register_command_stream(npu_op_list: List[NpuOperation], npu_accele :return Ethos-U instructions, as a list of 32-bit integers """ accelerator = Accelerator.from_npu_accelerator(npu_accelerator) - emit = CommandStreamEmitter() arch = create_default_arch(accelerator) - generate_command_stream(emit, npu_op_list, arch) - return emit.to_list() + return generate_command_stream(npu_op_list, arch, verbose=False) |