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df: types: DataFlow.auto #186

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johnandersen777 opened this issue Sep 3, 2019 · 1 comment
Closed

df: types: DataFlow.auto #186

johnandersen777 opened this issue Sep 3, 2019 · 1 comment
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enhancement New feature or request

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@johnandersen777
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johnandersen777 commented Sep 3, 2019

Assignee: @arv1ndh

Steps

  • Implement graph
    • Take all operations and link them all based off input and output data types
    • Linker dffml/df/linker.py will probably be helpful
  • Take input of what output data is desired
  • Take input of what input data is available
  • Output a dict describing needed input

Example

The output of Linker.export()["operations"] is:

{
  "op1": {
    "inputs": {
      "in1": "in1_type"
    },
    "outputs": {
      "out1": "out1_type"
    }
  },
  "op2": {
    "inputs": {
      "in2": "out1_type"
    },
    "outputs": {
      "out2": "out2_type"
    },
  "op3": {
    "inputs": {
      "in3": "out2_type"
    },
    "outputs": {
      "out3": "out3_type"
    }
  } 
}

User says to dependency backtrack, I want out3_type and have in1_type

Output of dependency backtrack: TDB

@johnandersen777 johnandersen777 added the enhancement New feature or request label Sep 3, 2019
@johnandersen777 johnandersen777 added this to the 0.2.2 Dot Release milestone Sep 23, 2019
@johnandersen777 johnandersen777 self-assigned this Oct 15, 2019
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Happing in dfass

@johnandersen777 johnandersen777 changed the title df: Dependency backtrack df: types: DataFlow.auto Oct 15, 2019
johnandersen777 pushed a commit to johnandersen777/dffml that referenced this issue Mar 11, 2022
Fixes: intel#213 
Fixes: intel#211  
Fixes: intel#209 
Fixes: intel#204 
Fixes: intel#199 
Fixes: intel#193 
Fixes: intel#186 
Fixes: intel#90 

Signed-off-by: John Andersen <[email protected]>
johnandersen777 pushed a commit that referenced this issue Mar 12, 2022
Fixes: #213 
Fixes: #211  
Fixes: #209 
Fixes: #204 
Fixes: #199 
Fixes: #193 
Fixes: #186 
Fixes: #90 

Signed-off-by: John Andersen <[email protected]>
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