[6/10] Code generation for fully connected layer via CMSIS-NN #9456
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ashutosh-arm
requested review from
anijain2305,
areusch,
comaniac,
icemelon,
jroesch,
junrushao,
jwfromm,
leandron,
manupak,
MarisaKirisame,
mbaret,
mbrookhart,
merrymercy,
slyubomirsky,
tqchen,
trevor-m,
vinx13,
wweic,
yzhliu,
zhiics and
ZihengJiang
as code owners
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cc: @Mousius @manupa-arm @leandron @areusch for code reviews. |
Change-Id: I67f65e69dfa2c6d31c2ea928d92a827df80bc51a
manupak
requested changes
Dec 2, 2021
| scalar_args = tvm::runtime::Concat(scalar_args, cmsisnn_filter_shape); | ||
| scalar_args = tvm::runtime::Concat(scalar_args, bias_shape); | ||
| scalar_args = tvm::runtime::Concat(scalar_args, cmsisnn_output_shape); | ||
| call_ext_args = tvm::runtime::Concat(call_ext_args, scalar_args); |
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nit : Would it be possible to keep the definitions of sub-catergories that get concatenated closer to here ? So it is easy to follow ?
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I didn't get this. Which ones should be close together and are not?
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e.g.
Array<PrimExpr> cmsisnn_input_shape{input_shape[0], 1, 1, input_shape[1]};
scalar_args = tvm::runtime::Concat(scalar_args, cmsisnn_input_shape);
Array<PrimExpr> cmsisnn_filter_shape{in_channels, 1, 1, out_channels};
scalar_args = tvm::runtime::Concat(scalar_args, cmsisnn_filter_shape);
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I see what you mean
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Can't do because of a cross dependency in this case 😕
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Support for fully connected layer via CMSIS-NN.
Here is the tracking issue: #8646