From 28eb3d354d07b844e1d35ce2f97245827d420c96 Mon Sep 17 00:00:00 2001 From: Robert Muchsel Date: Mon, 18 Sep 2023 13:48:43 -0500 Subject: [PATCH 1/2] Add support for cropping (in_skip); minor cleanup --- README.md | 16 ++++- README.pdf | Bin 6767641 -> 6773049 bytes .../embedded-riscv-ai85/templateMakefile.ARM | 64 ++++++++--------- .../templateMakefile.RISCV | 68 +++++++++--------- .../embedded-riscv-ai87/templateMakefile.ARM | 64 ++++++++--------- .../templateMakefile.RISCV | 68 +++++++++--------- assets/rtlsim-ai85/Makefile.ARM_PROG | 64 ++++++++--------- assets/rtlsim-ai87/Makefile.ARM_PROG | 62 ++++++++-------- assets/rtlsim-riscv-ai85/Makefile.RISCV_PROG | 68 +++++++++--------- assets/rtlsim-riscv-ai87/Makefile.RISCV_PROG | 68 +++++++++--------- .../Makefile.RISCV_PROG | 68 +++++++++--------- .../Makefile.RISCV_PROG | 68 +++++++++--------- .../Makefile.RISCV_PROG | 68 +++++++++--------- .../Makefile.RISCV_PROG | 68 +++++++++--------- izer/backend/max7800x.py | 8 ++- izer/compute.py | 10 ++- izer/izer.py | 9 ++- izer/state.py | 1 + izer/yamlcfg.py | 9 ++- 19 files changed, 438 insertions(+), 413 deletions(-) diff --git a/README.md b/README.md index 86488d56..9271ddc7 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # ADI MAX78000/MAX78002 Model Training and Synthesis -September 12, 2023 +September 18, 2023 ADI’s MAX78000/MAX78002 project is comprised of five repositories: @@ -2625,12 +2625,24 @@ Example: `in_dim` specifies the dimensions of the input data. This is usually automatically computed based on the output of the previous layer or the layer(s) referenced by `in_sequences`. This key allows overriding of the automatically calculated dimensions. `in_dim` must be used when changing from 1D to 2D data or vice versa. 1D dimensions can be specified as a tuple `[L, 1]` or as an integer `L`. -See also: `in_channels`. +See also: `in_channels`, `in_skip`. Examples: `in_dim: [64, 64]` `in_dim: 32` +##### `in_skip` (Optional) + +`in_skip` specifies a number of rows (2D) or data bytes (1D) to skip when using the previous layer's output as input. By also adjusting `in_offset`, this provides the means to crop the top/bottom of an image or the beginning/end of 1D data. + +See also: `in_dim`, `in_offset`. + +Example (1D cropping): + `# Output data had L=512` + `in_offset: 0x000c # Skip 3 (x4 processors) at beginning` + `in_dim: 506 # Target length = 506` + `in_skip: [3, 3] # Crop 3 at the beginning, 3 at the end` + ##### `in_sequences` (Optional) By default, a layer’s input is the output of the previous layer. `in_sequences` can be used to point to the output of one or more arbitrary previous layers, for example when processing the same data using two different kernel sizes, or when combining the outputs of several prior layers. `in_sequences` can be specified as a single item (for a single input) or as a list (for multiple inputs). Both layer sequence numbers as well as layer names can be used. As a special case, `-1` or `input` refer to the input data. 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zUz`?2(Hg>cT<-`8db<7vphRR@6XXztny+1Cfi0>*yYzwO0)v4cB#|~oc$uSp+I^H@ z3U{O^qa+5TFtt-&+=dd&3{6lh{Z>^Uy$`EVLba0o)TrQ|CyvKFb|QDYO{{Fp7;pW# z%heme*k(vdkAN;^pEqFlI0>I+ar^K7M=t5RRWQj1~ z2JV^B|MbnOHuUX8oK?gY4I?F8FqfG$v0H~}hXUhxgklx+OB!9#PG&CpW@qelMMJeC z+&5qtJp#4~7qaBXkoe?TL~LQa@kwatDh@c5l#y%KaIq_xHPMF!3l`33Va9F=#T|LBu?BRe3tNeGY}Qoh4?j8Yt(2_}jobWp$@8@uN`KWYbV1g+O0}C_ol~@7ww`tf(q(39;^a&Adb$6uz&@72Uf_W z^-U8_9!~~&I}RLj(BE)_I*PdURcG*#Lj7|w#8$;^p_0d~5~Ug^GaH=bfi&n6Xi2X) zL}4O7aP*Y{09a6Jczi(* zlnX<_1B$5lN%H*s5s>>*J$Qga!(9>0qx_!C%0Vk6PdH6ctyO>2#9)Tx4y+MSibF$q zC~sH$iO*!Rn8>sPmNhGYh0wx57J&sdWyM?*0xz(Tj37>-J`zG@D9NHJVjd?$m9A1E zr`>2kRUcz#CsA^xdV}B(KiJF}4fQ93le9X>Lu%@2?Ve{6RAfyejq96*&ABj~M zlI#KF770~=^kwn}`g1@(DXSB?@iYu+07I~a->NU-kDVar3JvT}LOT%2=_iijow3&q z1xT8Qb(W%T$4@R(2x!2t=y+f37138AQBAuQ{baasp(x-aj+H1tw~3*RWU>|kdQJ&Q zH1b#i@K1q{zCu+o_nn|~IaVW)1YH0Y&MGi4%t{li;AFFX@~T58EF%hyAMqC2QQ~sx ztA}rT|7-SNeDR(i ef77*ZeA5kYoG str: # pylint: disable=too-many-locals,too-many-branche input_channel_skip = state.input_channel_skip input_csv = state.input_csv input_dim = state.input_dim + input_crop = state.input_crop input_skip = state.input_skip kernel = state.weights kernel_size = state.kernel_size @@ -727,7 +728,8 @@ def create_net(self) -> str: # pylint: disable=too-many-locals,too-many-branche # Channel-wise concatenation or element-wise or interleaved concatenation offs = 0 for i, lt in enumerate(in_sequences[ll]): - if lt not in [-1, -2] and in_offset[ll] + 4 * i != out_offset[lt] \ + if lt not in [-1, -2] \ + and in_offset[ll] + 4 * i != out_offset[lt] + 4 * input_crop[ll][0] \ and in_offset[ll] + offs != out_offset[lt]: wprint(f'{layer_pfx(ll)}`in_offset` (0x{in_offset[ll]:04x}, for ' f'input #{i}) does not match `out_offset` ' @@ -2993,7 +2995,9 @@ def run_eltwise( if operands[ll] > 1 and not pool_first[ll]: data = np.expand_dims(run_eltwise(data, ll), 0) - # Allow 1D <-> 2D and 2D W/L conversions + # Allow 1D <-> 2D and 2D W/L conversions, and skipping/subsetting + if input_crop[ll][0] != 0 or input_crop[ll][1] != 0: # line skip count + data = data[:, :, input_crop[ll][0]:-input_crop[ll][1], :] if operator[ll] == op.CONV1D: if in_sequences[ll] != [-2]: assert input_dim[ll][1] == 1 diff --git a/izer/compute.py b/izer/compute.py index 43ae6a34..2394ea44 100644 --- a/izer/compute.py +++ b/izer/compute.py @@ -1,13 +1,12 @@ ################################################################################################### -# Copyright (C) 2019-2022 Maxim Integrated Products, Inc. All Rights Reserved. +# Copyright (C) 2019-2023 Maxim Integrated Products, Inc. All Rights Reserved. # # Maxim Integrated Products, Inc. Default Copyright Notice: # https://www.maximintegrated.com/en/aboutus/legal/copyrights.html ################################################################################################### """ -Pure Python implementation of Conv1d, Conv2d, ConvTranspose2d, Pool1d, Pool2d, Eltwise, and Linear. -Allows debug of individual accumulations. -NumPy implementation of Conv2d, ConvTranspose2d, Pool2d. +Python implementation of Conv1d, Conv2d, ConvTranspose1d, ConvTranspose2d, Pool1d, Pool2d, +Eltwise, and Linear. Compatible with PyTorch. """ import os @@ -201,8 +200,7 @@ def conv1d( weight = weight.reshape(out_channels, input_size[0] // groups, -1) data = data.reshape(input_size[0], -1) - output = np.full(shape=(output_size[0], output_size[1]), - fill_value=np.nan, dtype=np.int64) + output = np.empty(shape=(output_size[0], output_size[1]), dtype=np.int64) # Stretch data for fractionally-strided convolution if fractional_stride > 1: diff --git a/izer/izer.py b/izer/izer.py index 76d698ec..f09076a1 100644 --- a/izer/izer.py +++ b/izer/izer.py @@ -331,6 +331,7 @@ def main(): output_channels = output_channels[:layers] output_offset = params['output_offset'][:layers] conf_input_dim = params['input_dim'][:layers] + input_crop = params['input_crop'][:layers] input_offset = params['input_offset'][:layers] kernel_size = params['kernel_size'][:layers] quantization = params['quantization'][:layers] @@ -494,8 +495,11 @@ def main(): 'Use `in_dim:` to reshape the data to two dimensions, or to silence ' 'this message.') else: - if pixels > 0 and conf_input_dim[ll][0] * conf_input_dim[ll][1] != pixels: - eprint(f'{layer_pfx(ll)}The configured `in_dim` does not match the ' + pixelcount = (conf_input_dim[ll][0] + input_crop[ll][0] + + input_crop[ll][1]) * conf_input_dim[ll][1] + if pixels > 0 and pixelcount != pixels: + eprint(f'{layer_pfx(ll)}The configured `in_dim` (pixel count ' + f'{pixelcount}) does not match the ' f'sum of all pixels ({pixels}) in the layer\'s `in_sequences`.') input_dim[ll] = conf_input_dim[ll] if operator[ll] != op.CONV1D: @@ -630,6 +634,7 @@ def main(): state.input_channel_skip = input_channel_skip state.input_channels = input_channels state.input_dim = input_dim + state.input_crop = input_crop state.input_offset = input_offset state.input_skip = input_skip state.kernel_size = kernel_size diff --git a/izer/state.py b/izer/state.py index a50a650e..a213e567 100644 --- a/izer/state.py +++ b/izer/state.py @@ -91,6 +91,7 @@ input_csv_retrace: int = 0 input_csv: Optional[str] = None input_dim: List[List[int]] = [] +input_crop: List[List[int]] = [] input_fifo: bool = False input_filename: str = '' input_offset: List[Any] = [] diff --git a/izer/yamlcfg.py b/izer/yamlcfg.py index 43629bd0..3ace77f7 100644 --- a/izer/yamlcfg.py +++ b/izer/yamlcfg.py @@ -1,5 +1,5 @@ ################################################################################################### -# Copyright (C) 2019-2022 Maxim Integrated Products, Inc. All Rights Reserved. +# Copyright (C) 2019-2023 Maxim Integrated Products, Inc. All Rights Reserved. # # Maxim Integrated Products, Inc. Default Copyright Notice: # https://www.maximintegrated.com/en/aboutus/legal/copyrights.html @@ -106,6 +106,7 @@ def error_exit(message, sequence): input_skip = [0] * tc.dev.MAX_LAYERS input_chan_skip = [0] * tc.dev.MAX_LAYERS input_dim = [None] * tc.dev.MAX_LAYERS + input_crop = [[0, 0]] * tc.dev.MAX_LAYERS output_chan = [None] * tc.dev.MAX_LAYERS # All other variables are initialized with the default values padding = [[1, 1]] * tc.dev.MAX_LAYERS @@ -169,7 +170,7 @@ def error_exit(message, sequence): 'sequence', 'streaming', 'stride', 'write_gap', 'bypass', 'bias_group', 'bias_quadrant', 'calcx4', 'readahead', 'name', 'pool_dilation', 'output_pad', 'tcalc', 'read_gap', 'output', - 'weight_source', 'buffer_shift', 'buffer_insert']) + 'weight_source', 'buffer_shift', 'buffer_insert', 'in_crop']) if bool(cfg_set): eprint(f'Configuration file {config_file} contains unknown key(s) for `layers`: ' f'{cfg_set}.') @@ -260,6 +261,8 @@ def error_exit(message, sequence): error_exit('`in_dim` must be an integer or list not exceeding two dimensions', sequence) input_dim[sequence] = val + if 'in_crop' in ll: + input_crop[sequence] = ll['in_crop'] if 'in_skip' in ll and 'read_gap' in ll: error_exit('Duplicate key for `in_skip`/`read_gap`', sequence) if 'in_skip' in ll or 'read_gap' in ll: @@ -635,6 +638,7 @@ def error_exit(message, sequence): del input_chan_skip[ll] del input_skip[ll] del input_dim[ll] + del input_crop[ll] del input_offset[ll] del output_chan[ll] del output_offset[ll] @@ -803,6 +807,7 @@ def error_exit(message, sequence): settings['input_chan_skip'] = input_chan_skip settings['input_chan'] = input_chan settings['input_dim'] = input_dim + settings['input_crop'] = input_crop settings['input_offset'] = input_offset settings['input_skip'] = input_skip settings['kernel_size'] = kernel_size From e6f8b80e888641b42ca70e5394fa2aae4ab52cfd Mon Sep 17 00:00:00 2001 From: Robert Muchsel Date: Tue, 19 Sep 2023 14:42:42 -0500 Subject: [PATCH 2/2] Fix documentation --- README.md | 10 +++++----- README.pdf | Bin 6773049 -> 6773187 bytes 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 9271ddc7..f0c3f500 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # ADI MAX78000/MAX78002 Model Training and Synthesis -September 18, 2023 +September 19, 2023 ADI’s MAX78000/MAX78002 project is comprised of five repositories: @@ -2625,15 +2625,15 @@ Example: `in_dim` specifies the dimensions of the input data. This is usually automatically computed based on the output of the previous layer or the layer(s) referenced by `in_sequences`. This key allows overriding of the automatically calculated dimensions. `in_dim` must be used when changing from 1D to 2D data or vice versa. 1D dimensions can be specified as a tuple `[L, 1]` or as an integer `L`. -See also: `in_channels`, `in_skip`. +See also: `in_channels`, `in_crop`. Examples: `in_dim: [64, 64]` `in_dim: 32` -##### `in_skip` (Optional) +##### `in_crop` (Optional) -`in_skip` specifies a number of rows (2D) or data bytes (1D) to skip when using the previous layer's output as input. By also adjusting `in_offset`, this provides the means to crop the top/bottom of an image or the beginning/end of 1D data. +`in_crop` specifies a number of rows (2D) or data bytes (1D) to skip (crop) when using the previous layer's output as input. By also adjusting `in_offset`, this provides the means to crop the top/bottom of an image or the beginning/end of 1D data. The dimensions and offsets are validated to match (minus the crop amount). See also: `in_dim`, `in_offset`. @@ -2641,7 +2641,7 @@ Example (1D cropping): `# Output data had L=512` `in_offset: 0x000c # Skip 3 (x4 processors) at beginning` `in_dim: 506 # Target length = 506` - `in_skip: [3, 3] # Crop 3 at the beginning, 3 at the end` + `in_crop: [3, 3] # Crop 3 at the beginning, 3 at the end` ##### `in_sequences` (Optional) diff --git a/README.pdf b/README.pdf index f42edb6aafde3adc1d8fa361db8a5e88a7112dfa..ea82048ddc4f1d53bba8677ee49474a7cf4fb84d 100644 GIT binary patch delta 91349 zcmV)>K!d-zvYi9Nvz-HwKvFX@AU-|{b98cLVQmU{0j*ryavZl2eV?zGyp2-UXzrK1 zDUxD4v3w&PyDH9uOf5w@qShwYvYpRND*uy%%Q?Udmeek(q+C0~0F6fX=?fYdk&hyO z?sIMjwnN_aWrhFMdEZs}ST)&A1oreblbz@7P>yql>ARuqr>W`kzMaahuBUvM=W?jW z(GWe)t8%VfhkZ}ru^l~uwi?T+Z)Q*$%BjKBwRzKG!pzcX?f(qLW9BdhZKg2KA+~%j3*`w1_Bk0rf z{2zJo_yGvjdGYi?4iZgXd}<%ilAAYZcOg#~ z@P~dX+r9>b+wAl*4>~Y%KK=1Hy3iD?pvh0qvW0%f5&Dg3pZxxIcd@yCeI4e2PWx`g z;HvEFc5M0{PvbBR&Ddvm1J;0fEwsYaS-dR5*8CnZL)|*);hbD`ww+<0B%39f&^Sng4E&f+9b~4>D)vccw&P(9kG)iFx~@=YDfW 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