[microNPU] Add NHWC -> NHCWB16 layout transformation pass #9561
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ekalda
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Nov 23, 2021
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Looks really good! :) Very nice test coverage, clear and understandable tests and well done for checking all the various graph types! I noticed that none of the tests has a depthwise_conv2d in it, so maybe it is worth inserting a depthwise somewhere into the tested graphs as well to make sure no surprises in the depthwise front?
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Adds a layout optimization pass that modifies the ifm/ofm layout of an operation to NHCWB16 where possible. This can occur when the producer or consumer of a tensor is also an NPU operator. Change-Id: I0d6ad1f868dd6f78a236b4bc869e5cbd77c986b0
Change-Id: Iba3436d14a16106a696400c1329dcfa164631dc7
Change-Id: Ibdf1b129e11cb8e09b73cf73817532e6c8e8ee82
Change-Id: Ifc1b4c34cd891fce35d3e043ba81afdd2e34fc4e
Change-Id: I9d586c4931eb3499ed9c6c8555b1ff9c380f402b
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Friendly ping for comment/approval :) |
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@ekalda ? |
ylc
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Adds a layout optimization pass that modifies the ifm/ofm layout of an operation to NHCWB16 where possible. This can occur when the producer or consumer of a tensor is also an NPU operator.
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Adds a layout optimization pass that modifies the ifm/ofm layout of an operation to NHCWB16 where possible. This can occur when the producer or consumer of a tensor is also an NPU operator.
yangulei
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Adds a layout optimization pass that modifies the ifm/ofm layout of an operation to NHCWB16 where possible. This can occur when the producer or consumer of a tensor is also an NPU operator.
ylc
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Adds a layout optimization pass that modifies the ifm/ofm layout of an operation to NHCWB16 where possible. This can occur when the producer or consumer of a tensor is also an NPU operator.
qsqqsqqsq-intellif
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Adds a layout optimization pass that modifies the ifm/ofm layout of an operation to NHCWB16 where possible. This can occur when the producer or consumer of a tensor is also an NPU operator.
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Adds a layout optimization pass that modifies the ifm/ofm layout of an operation to NHCWB16 where possible. This can occur when the producer or consumer of a tensor is also an NPU operator.
Note: this PR is dependent on #9560.cc @ekalda @manupa-arm @NicolaLancellotti @dchauhan-arm @mbaret