| # 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: |
| # Contains unit tests for generate_register_command_stream API for an external consumer |
| from ethosu.vela.api import NpuActivation |
| from ethosu.vela.api import NpuActivationOp |
| from ethosu.vela.api import NpuAddressRange |
| from ethosu.vela.api import NpuBlockTraversal |
| from ethosu.vela.api import NpuConv2DOperation |
| from ethosu.vela.api import NpuConvDepthWiseOperation |
| from ethosu.vela.api import NpuDataType |
| from ethosu.vela.api import NpuDmaOperation |
| from ethosu.vela.api import NpuElementWiseOp |
| from ethosu.vela.api import NpuElementWiseOperation |
| from ethosu.vela.api import NpuFeatureMap |
| from ethosu.vela.api import NpuKernel |
| from ethosu.vela.api import NpuLayout |
| from ethosu.vela.api import NpuPadding |
| from ethosu.vela.api import NpuPoolingOp |
| from ethosu.vela.api import NpuPoolingOperation |
| from ethosu.vela.api import NpuQuantization |
| from ethosu.vela.api import NpuShape3D |
| from ethosu.vela.api import NpuTileBox |
| from ethosu.vela.architecture_features import Accelerator |
| from ethosu.vela.ethos_u55_regs.ethos_u55_regs import cmd0 |
| from ethosu.vela.ethos_u55_regs.ethos_u55_regs import cmd1 |
| from ethosu.vela.register_command_stream_generator import CmdMode |
| from ethosu.vela.register_command_stream_generator import generate_register_command_stream |
| from ethosu.vela.register_command_stream_generator import get_address_ranges |
| |
| |
| def check_cmd0(cmd_stream, cmd, param): |
| """Checks that the command stream contains the given command + parameter""" |
| param = int(param) & 0xFFFF |
| command = cmd.value | (param << 16) |
| assert command in cmd_stream, f"Not in command stream: {cmd} {param}" |
| |
| |
| def check_cmd1(cmd_stream, cmd, offset, param=0x0): |
| """Checks that the command stream contains the given command + parameter""" |
| offset = int(offset) & 0xFFFFFFFFF |
| command = cmd.value | CmdMode.Payload32.value | (param << 16) |
| for i in range(len(cmd_stream) - 1): |
| if cmd_stream[i] == command and cmd_stream[i + 1] == offset: |
| return # found |
| assert False, f"Not in command stream: {cmd} {offset} {param}" |
| |
| |
| def find_cmd0(cmd_stream, cmd) -> int: |
| """Returns parameter of the first command in the stream that matches the given command""" |
| for command in cmd_stream: |
| if (command & 0xFFFF) == cmd.value: |
| return (command >> 16) & 0xFFFF |
| assert False, f"Not in command stream: {cmd}" |
| |
| |
| def create_feature_map( |
| shape: NpuShape3D, |
| region: int, |
| address: int, |
| dtype: NpuDataType = NpuDataType.UINT8, |
| layout: NpuLayout = NpuLayout.NHWC, |
| quant=NpuQuantization(scale_f32=1, zero_point=0), |
| ) -> NpuFeatureMap: |
| """Creates feature map using 1 tile""" |
| fm = NpuFeatureMap() |
| fm.data_type = dtype |
| fm.shape = shape |
| fm.tiles = NpuTileBox( |
| width_0=shape.width, height_0=shape.height, height_1=shape.height, addresses=[address, 0, 0, 0] |
| ) |
| fm.region = region |
| fm.layout = layout |
| fm.quantization = quant |
| return fm |
| |
| |
| def test_conv2d(): |
| """Tests command stream generation for a conv2d operation""" |
| op = NpuConv2DOperation() |
| op.ifm = create_feature_map( |
| NpuShape3D(height=30, width=62, depth=46), 1, 512, quant=NpuQuantization(scale_f32=0.007843138, zero_point=128) |
| ) |
| op.ofm = create_feature_map( |
| NpuShape3D(height=30, width=31, depth=46), |
| 1, |
| 0x14E40, |
| quant=NpuQuantization(scale_f32=0.20392157, zero_point=128), |
| ) |
| op.kernel = NpuKernel(3, 2, 2, 1) |
| op.weights = [NpuAddressRange(region=0, address=0, length=7696)] |
| op.biases = [NpuAddressRange(region=0, address=32000, length=464)] |
| op.padding = NpuPadding(top=0, left=0, right=1, bottom=1) |
| op.block_traversal = NpuBlockTraversal.PART_KERNEL_FIRST |
| # In this example we assume that the weights were compressed with ofm depth 16; |
| # let vela choose suitable block width and height by setting these to -1 |
| op.block_config = NpuShape3D(height=-1, width=-1, depth=16) |
| cmds = generate_register_command_stream([op], Accelerator.Ethos_U55_128) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM_REGION, 1) |
| check_cmd1(cmds, cmd1.NPU_SET_IFM_BASE0, 512) |
| check_cmd1(cmds, cmd1.NPU_SET_IFM_BASE1, 0) |
| check_cmd1(cmds, cmd1.NPU_SET_IFM_BASE2, 0) |
| check_cmd1(cmds, cmd1.NPU_SET_IFM_BASE3, 0) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM_HEIGHT0_M1, 29) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM_HEIGHT1_M1, 29) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM_WIDTH0_M1, 61) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM_DEPTH_M1, 45) |
| check_cmd1(cmds, cmd1.NPU_SET_IFM_STRIDE_C, 1) |
| check_cmd1(cmds, cmd1.NPU_SET_IFM_STRIDE_Y, 2852) |
| check_cmd1(cmds, cmd1.NPU_SET_IFM_STRIDE_X, 46) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM_ZERO_POINT, 128) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM_PRECISION, 0) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM_UPSCALE, 0) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM_PAD_TOP, 0) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM_PAD_LEFT, 0) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM_PAD_BOTTOM, 1) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM_PAD_RIGHT, 1) |
| check_cmd0(cmds, cmd0.NPU_SET_OFM_REGION, 1) |
| check_cmd1(cmds, cmd1.NPU_SET_OFM_BASE0, 85568) |
| check_cmd1(cmds, cmd1.NPU_SET_OFM_BASE1, 0) |
| check_cmd1(cmds, cmd1.NPU_SET_OFM_BASE2, 0) |
| check_cmd1(cmds, cmd1.NPU_SET_OFM_BASE3, 0) |
| check_cmd0(cmds, cmd0.NPU_SET_OFM_HEIGHT0_M1, 29) |
| check_cmd0(cmds, cmd0.NPU_SET_OFM_HEIGHT1_M1, 29) |
| check_cmd0(cmds, cmd0.NPU_SET_OFM_WIDTH0_M1, 30) |
| check_cmd0(cmds, cmd0.NPU_SET_OFM_HEIGHT_M1, 29) |
| check_cmd0(cmds, cmd0.NPU_SET_OFM_WIDTH_M1, 30) |
| check_cmd0(cmds, cmd0.NPU_SET_OFM_DEPTH_M1, 45) |
| check_cmd1(cmds, cmd1.NPU_SET_OFM_STRIDE_C, 1) |
| check_cmd1(cmds, cmd1.NPU_SET_OFM_STRIDE_Y, 1426) |
| check_cmd1(cmds, cmd1.NPU_SET_OFM_STRIDE_X, 46) |
| check_cmd0(cmds, cmd0.NPU_SET_OFM_ZERO_POINT, 128) |
| check_cmd0(cmds, cmd0.NPU_SET_OFM_PRECISION, 0) |
| check_cmd0(cmds, cmd0.NPU_SET_KERNEL_HEIGHT_M1, 1) |
| check_cmd0(cmds, cmd0.NPU_SET_KERNEL_WIDTH_M1, 2) |
| check_cmd0(cmds, cmd0.NPU_SET_KERNEL_STRIDE, 5) |
| check_cmd0(cmds, cmd0.NPU_SET_WEIGHT_REGION, 0) |
| check_cmd1(cmds, cmd1.NPU_SET_WEIGHT_BASE, 0) |
| check_cmd1(cmds, cmd1.NPU_SET_WEIGHT_LENGTH, 7696) |
| check_cmd0(cmds, cmd0.NPU_SET_SCALE_REGION, 0) |
| check_cmd1(cmds, cmd1.NPU_SET_SCALE_BASE, 32000) |
| check_cmd1(cmds, cmd1.NPU_SET_SCALE_LENGTH, 464) |
| check_cmd0(cmds, cmd0.NPU_SET_ACTIVATION, 0) |
| check_cmd0(cmds, cmd0.NPU_SET_ACTIVATION_MIN, 0) |
| check_cmd0(cmds, cmd0.NPU_SET_ACTIVATION_MAX, 255) |
| check_cmd0(cmds, cmd0.NPU_SET_OFM_BLK_HEIGHT_M1, 15) |
| check_cmd0(cmds, cmd0.NPU_SET_OFM_BLK_WIDTH_M1, 3) |
| check_cmd0(cmds, cmd0.NPU_SET_OFM_BLK_DEPTH_M1, 15) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM_IB_END, 14) |
| check_cmd0(cmds, cmd0.NPU_SET_AB_START, 14) |
| check_cmd0(cmds, cmd0.NPU_SET_ACC_FORMAT, 0) |
| check_cmd0(cmds, cmd0.NPU_SET_BLOCKDEP, 0) |
| check_cmd0(cmds, cmd0.NPU_OP_CONV, 0) |
| # Check that block width/height were generated that fit |
| blk_height = find_cmd0(cmds, cmd0.NPU_SET_OFM_BLK_HEIGHT_M1) |
| blk_width = find_cmd0(cmds, cmd0.NPU_SET_OFM_BLK_WIDTH_M1) |
| assert blk_height > 0 |
| assert blk_width > 0 |
| assert (blk_height + 1) * (blk_width + 1) <= 64 |
| |
| |
| def create_fully_connected_op() -> NpuConv2DOperation: |
| op = NpuConv2DOperation() |
| op.ifm = create_feature_map( |
| NpuShape3D(height=1, width=1, depth=114), |
| 1, |
| 0, |
| quant=NpuQuantization(scale_f32=0.007843138, zero_point=128), |
| layout=NpuLayout.NHCWB16, |
| ) |
| op.ofm = create_feature_map( |
| NpuShape3D(height=1, width=1, depth=96), |
| 1, |
| 0x6A0, |
| quant=NpuQuantization(scale_f32=0.20392157, zero_point=128), |
| layout=NpuLayout.NHCWB16, |
| ) |
| op.kernel = NpuKernel(1, 1) |
| op.weights = [NpuAddressRange(region=0, address=0x16880, length=13120)] |
| op.biases = [NpuAddressRange(region=0, address=0x19BC0, length=960)] |
| op.padding = NpuPadding(top=0, left=0, right=0, bottom=0) |
| op.block_traversal = NpuBlockTraversal.DEPTH_FIRST |
| # In this example we assume that the weights were compressed with ofm depth 96; |
| # let vela choose suitable block width and height by setting these to -1 |
| op.block_config = NpuShape3D(height=-1, width=-1, depth=96) |
| return op |
| |
| |
| def test_fully_connected(): |
| """Tests command stream generation for a fully connected operation""" |
| op = create_fully_connected_op() |
| cmds = generate_register_command_stream([op], Accelerator.Ethos_U55_128) |
| check_cmd0(cmds, cmd0.NPU_OP_CONV, 0) |
| assert len(cmds) > 20 |
| |
| |
| def test_depthwise(): |
| """Test depthwise operation, preceeded by DMA operation""" |
| weights_src = NpuAddressRange(region=0, address=0x40, length=96) |
| weights_dest = NpuAddressRange(region=1, address=0x10000, length=96) |
| dma_op = NpuDmaOperation(weights_src, weights_dest) |
| op = NpuConvDepthWiseOperation() |
| ifm_quant = NpuQuantization(scale_f32=0.007843138, zero_point=128) |
| op.ifm = create_feature_map(NpuShape3D(height=64, width=64, depth=8), 1, 0x0, quant=ifm_quant) |
| ofm_quant = NpuQuantization(scale_f32=0.062745101749897, zero_point=128) |
| op.ofm = create_feature_map(NpuShape3D(height=64, width=64, depth=8), 1, 0x8000, quant=ofm_quant) |
| op.kernel = NpuKernel(3, 3) |
| op.padding = NpuPadding(top=1, left=1, right=1, bottom=1) |
| op.weights = [weights_dest] |
| op.biases = [NpuAddressRange(region=0, address=0, length=80)] |
| op.block_config = NpuShape3D(height=-1, width=-1, depth=8) |
| cmds = generate_register_command_stream([dma_op, op], Accelerator.Ethos_U55_128) |
| check_cmd0(cmds, cmd0.NPU_SET_DMA0_SRC_REGION, 0) |
| check_cmd1(cmds, cmd1.NPU_SET_DMA0_SRC, 0x40) |
| check_cmd0(cmds, cmd0.NPU_SET_DMA0_DST_REGION, 1) |
| check_cmd1(cmds, cmd1.NPU_SET_DMA0_DST, 0x10000) |
| check_cmd1(cmds, cmd1.NPU_SET_DMA0_LEN, 96) |
| check_cmd0(cmds, cmd0.NPU_OP_DMA_START, 0) |
| # A DMA WAIT should have been inserted |
| check_cmd0(cmds, cmd0.NPU_OP_DMA_WAIT, 0) |
| check_cmd0(cmds, cmd0.NPU_OP_DEPTHWISE, 0) |
| blk_height = find_cmd0(cmds, cmd0.NPU_SET_OFM_BLK_HEIGHT_M1) |
| blk_width = find_cmd0(cmds, cmd0.NPU_SET_OFM_BLK_WIDTH_M1) |
| assert blk_height > 0 |
| assert blk_width > 0 |
| |
| |
| def test_mul_with_broadcast_and_relu(): |
| """Test multiplication with broadcasted IFM2""" |
| op = NpuElementWiseOperation(NpuElementWiseOp.MUL) |
| op.ifm = create_feature_map(NpuShape3D(height=31, width=22, depth=31), 1, 0x20) |
| op.ifm2 = create_feature_map(NpuShape3D(height=1, width=22, depth=1), 1, 0) |
| op.ofm = create_feature_map(NpuShape3D(height=31, width=22, depth=31), 1, 0x52C0) |
| op.activation = NpuActivation(NpuActivationOp.NONE_OR_RELU) |
| op.activation.min = 0 # RELU |
| # Do not set a block config, let vela choose one |
| cmds = generate_register_command_stream([op], Accelerator.Ethos_U55_32) |
| check_cmd1(cmds, cmd1.NPU_SET_OFM_SCALE, 1073741824, 30) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM_REGION, 1) |
| check_cmd1(cmds, cmd1.NPU_SET_IFM_BASE0, 32) |
| check_cmd1(cmds, cmd1.NPU_SET_IFM_BASE1, 0) |
| check_cmd1(cmds, cmd1.NPU_SET_IFM_BASE2, 0) |
| check_cmd1(cmds, cmd1.NPU_SET_IFM_BASE3, 0) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM_HEIGHT0_M1, 30) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM_HEIGHT1_M1, 30) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM_WIDTH0_M1, 21) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM_DEPTH_M1, 30) |
| check_cmd1(cmds, cmd1.NPU_SET_IFM_STRIDE_C, 1) |
| check_cmd1(cmds, cmd1.NPU_SET_IFM_STRIDE_Y, 682) |
| check_cmd1(cmds, cmd1.NPU_SET_IFM_STRIDE_X, 31) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM_ZERO_POINT, 0) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM_PRECISION, 0) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM_UPSCALE, 0) |
| check_cmd0(cmds, cmd0.NPU_SET_OFM_REGION, 1) |
| check_cmd1(cmds, cmd1.NPU_SET_OFM_BASE0, 21184) |
| check_cmd1(cmds, cmd1.NPU_SET_OFM_BASE1, 0) |
| check_cmd1(cmds, cmd1.NPU_SET_OFM_BASE2, 0) |
| check_cmd1(cmds, cmd1.NPU_SET_OFM_BASE3, 0) |
| check_cmd0(cmds, cmd0.NPU_SET_OFM_HEIGHT0_M1, 30) |
| check_cmd0(cmds, cmd0.NPU_SET_OFM_HEIGHT1_M1, 30) |
| check_cmd0(cmds, cmd0.NPU_SET_OFM_WIDTH0_M1, 21) |
| check_cmd0(cmds, cmd0.NPU_SET_OFM_HEIGHT_M1, 30) |
| check_cmd0(cmds, cmd0.NPU_SET_OFM_WIDTH_M1, 21) |
| check_cmd0(cmds, cmd0.NPU_SET_OFM_DEPTH_M1, 30) |
| check_cmd1(cmds, cmd1.NPU_SET_OFM_STRIDE_C, 1) |
| check_cmd1(cmds, cmd1.NPU_SET_OFM_STRIDE_Y, 682) |
| check_cmd1(cmds, cmd1.NPU_SET_OFM_STRIDE_X, 31) |
| check_cmd0(cmds, cmd0.NPU_SET_OFM_ZERO_POINT, 0) |
| check_cmd0(cmds, cmd0.NPU_SET_OFM_PRECISION, 256) |
| check_cmd0(cmds, cmd0.NPU_SET_ACTIVATION, 0) |
| check_cmd0(cmds, cmd0.NPU_SET_ACTIVATION_MIN, 0) |
| check_cmd0(cmds, cmd0.NPU_SET_ACTIVATION_MAX, 255) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM2_REGION, 1) |
| check_cmd1(cmds, cmd1.NPU_SET_IFM2_BASE0, 0) |
| check_cmd1(cmds, cmd1.NPU_SET_IFM2_BASE1, 0) |
| check_cmd1(cmds, cmd1.NPU_SET_IFM2_BASE2, 0) |
| check_cmd1(cmds, cmd1.NPU_SET_IFM2_BASE3, 0) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM2_HEIGHT0_M1, 0) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM2_HEIGHT1_M1, 0) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM2_WIDTH0_M1, 21) |
| check_cmd1(cmds, cmd1.NPU_SET_IFM2_STRIDE_C, 1) |
| check_cmd1(cmds, cmd1.NPU_SET_IFM2_STRIDE_Y, 22) |
| check_cmd1(cmds, cmd1.NPU_SET_IFM2_STRIDE_X, 1) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM2_ZERO_POINT, 0) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM2_PRECISION, 0) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM2_BROADCAST, 5) |
| check_cmd0(cmds, cmd0.NPU_SET_OFM_BLK_HEIGHT_M1, 23) |
| check_cmd0(cmds, cmd0.NPU_SET_OFM_BLK_WIDTH_M1, 3) |
| check_cmd0(cmds, cmd0.NPU_SET_OFM_BLK_DEPTH_M1, 31) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM_IB_END, 16) |
| check_cmd0(cmds, cmd0.NPU_SET_AB_START, 16) |
| check_cmd0(cmds, cmd0.NPU_SET_IFM2_IB_START, 9) |
| check_cmd0(cmds, cmd0.NPU_SET_ACC_FORMAT, 0) |
| check_cmd0(cmds, cmd0.NPU_SET_BLOCKDEP, 0) |
| check_cmd0(cmds, cmd0.NPU_OP_ELEMENTWISE, 0) |
| # Check that block width/height were generated that fit |
| blk_height = find_cmd0(cmds, cmd0.NPU_SET_OFM_BLK_HEIGHT_M1) |
| blk_width = find_cmd0(cmds, cmd0.NPU_SET_OFM_BLK_WIDTH_M1) |
| blk_depth = find_cmd0(cmds, cmd0.NPU_SET_OFM_BLK_DEPTH_M1) |
| assert blk_height >= 0 |
| assert blk_width >= 0 |
| assert blk_depth >= 0 |
| assert (blk_height + 1) * (blk_width + 1) + (blk_depth + 1) <= 3072 |
| |
| |
| def create_avg_pool_op() -> NpuPoolingOperation: |
| op = NpuPoolingOperation(NpuPoolingOp.AVERAGE) |
| op.ifm = create_feature_map( |
| NpuShape3D(height=29, width=30, depth=27), 2, 0, quant=NpuQuantization(scale_f32=0.007843138, zero_point=128) |
| ) |
| op.ofm = create_feature_map( |
| NpuShape3D(height=10, width=10, depth=27), |
| 2, |
| 0x5BD0, |
| quant=NpuQuantization(scale_f32=0.20392157, zero_point=128), |
| ) |
| op.kernel = NpuKernel(8, 2, 3, 3) |
| op.padding = NpuPadding(top=0, left=2, right=3, bottom=0) |
| # Do not set a block config, let vela choose one |
| return op |
| |
| |
| def test_avg_pool(): |
| """Tests average pool operation""" |
| op = create_avg_pool_op() |
| cmds = generate_register_command_stream([op], Accelerator.Ethos_U55_128) |
| check_cmd0(cmds, cmd0.NPU_OP_POOL, 1) |
| assert len(cmds) > 10 |
| |
| |
| def test_two_operations(): |
| """Tests code generation with 2 operations""" |
| op1 = create_fully_connected_op() |
| op2 = create_avg_pool_op() |
| cmds = generate_register_command_stream([op1, op2], Accelerator.Ethos_U55_64) |
| check_cmd0(cmds, cmd0.NPU_OP_POOL, 1) |
| check_cmd0(cmds, cmd0.NPU_OP_CONV, 0) |
| check_cmd0(cmds, cmd0.NPU_SET_BLOCKDEP, 0) |
| # The operations are not dependent, so expect a blockdep 3 |
| check_cmd0(cmds, cmd0.NPU_SET_BLOCKDEP, 3) |
| assert len(cmds) > 10 |
| |
| |
| def test_dma_op(): |
| """Tests DMA operation followed by average pool. The DMA provides the contents of the average pool's IFM.""" |
| pool_op = create_avg_pool_op() |
| assert pool_op.ofm is not None |
| dest = get_address_ranges(pool_op.ofm)[0] |
| assert dest is not None |
| src = NpuAddressRange(0, 0x24000, dest.length) |
| dma_op = NpuDmaOperation(src, dest) |
| cmds = generate_register_command_stream([dma_op, pool_op], Accelerator.Ethos_U55_64) |
| check_cmd0(cmds, cmd0.NPU_OP_DMA_START, 0) |
| # A DMA WAIT should have been inserted |
| check_cmd0(cmds, cmd0.NPU_OP_DMA_WAIT, 0) |
| check_cmd0(cmds, cmd0.NPU_OP_POOL, 1) |