def ConfigTstEpcLog(ss, dt):
dt.SetMetaData("name", "TstEpcLog")
dt.SetMetaData("desc", "Summary stats for testing trials")
dt.SetMetaData("read-only", "true")
dt.SetMetaData("precision", str(LogPrec))
sch = etable.Schema(
[etable.Column("Run", etensor.INT64, go.nil, go.nil),
etable.Column("Epoch", etensor.INT64, go.nil, go.nil),
etable.Column("PctErr", etensor.FLOAT64, go.nil, go.nil),
etable.Column("PctCor", etensor.FLOAT64, go.nil, go.nil)]
)
dt.SetFromSchema(sch, 0)
def ConfigPats(ss):
dt = ss.Pats
dt.SetMetaData("name", "TrainPats")
dt.SetMetaData("desc", "Training patterns")
sch = etable.Schema([
etable.Column("Name", etensor.STRING, go.nil, go.nil),
etable.Column("Input", etensor.FLOAT32, go.Slice_int([5, 5]),
go.Slice_string(["Y", "X"])),
etable.Column("Output", etensor.FLOAT32, go.Slice_int([5, 5]),
go.Slice_string(["Y", "X"]))
])
dt.SetFromSchema(sch, 25)
patgen.PermutedBinaryRows(dt.Cols[1], 6, 1, 0)
patgen.PermutedBinaryRows(dt.Cols[2], 6, 1, 0)
# dt.SaveCSV("random_5x5_25_gen.csv", etable.Comma, etable.Headers)
ss.ConfigTPats()
def ConfigTstTrlLog(ss, dt):
inp = etorch.Layer(ss.Net.LayerByName("Image"))
out = etorch.Layer(ss.Net.LayerByName("Out"))
dt.SetMetaData("name", "TstTrlLog")
dt.SetMetaData("desc", "Record of testing per input pattern")
dt.SetMetaData("read-only", "true")
dt.SetMetaData("precision", str(LogPrec))
nt = len(images)
sch = etable.Schema(
[etable.Column("Run", etensor.INT64, go.nil, go.nil),
etable.Column("Epoch", etensor.INT64, go.nil, go.nil),
etable.Column("Trial", etensor.INT64, go.nil, go.nil),
etable.Column("TrialName", etensor.STRING, go.nil, go.nil),
etable.Column("Top5", etensor.STRING, go.nil, go.nil),
etable.Column("Top5Vals", etensor.FLOAT64, go.Slice_int([5]), go.nil),
etable.Column("Err", etensor.FLOAT64, go.nil, go.nil)]
)
sch.append(etable.Column("InAct", etensor.FLOAT64, inp.Shp.Shp, go.nil))
sch.append(etable.Column("OutAct", etensor.FLOAT64, out.Shp.Shp, go.nil))
dt.SetFromSchema(sch, nt)
def ConfigTrnEpcLog(ss, dt):
dt.SetMetaData("name", "TrnEpcLog")
dt.SetMetaData("desc", "Record of performance over epochs of training")
dt.SetMetaData("read-only", "true")
dt.SetMetaData("precision", str(LogPrec))
sch = etable.Schema([
etable.Column("Run", etensor.INT64, go.nil, go.nil),
etable.Column("Epoch", etensor.INT64, go.nil, go.nil),
etable.Column("SSE", etensor.FLOAT64, go.nil, go.nil),
etable.Column("PctErr", etensor.FLOAT64, go.nil, go.nil),
etable.Column("PctCor", etensor.FLOAT64, go.nil, go.nil),
etable.Column("PerTrlMSec", etensor.FLOAT64, go.nil, go.nil)
])
dt.SetFromSchema(sch, 0)
def ConfigRunLog(ss, dt):
dt.SetMetaData("name", "RunLog")
dt.SetMetaData("desc", "Record of performance at end of training")
dt.SetMetaData("read-only", "true")
dt.SetMetaData("precision", str(LogPrec))
sch = etable.Schema([
etable.Column("Run", etensor.INT64, go.nil, go.nil),
etable.Column("Params", etensor.STRING, go.nil, go.nil),
etable.Column("FirstZero", etensor.FLOAT64, go.nil, go.nil),
etable.Column("SSE", etensor.FLOAT64, go.nil, go.nil),
etable.Column("PctErr", etensor.FLOAT64, go.nil, go.nil),
etable.Column("PctCor", etensor.FLOAT64, go.nil, go.nil)
])
dt.SetFromSchema(sch, 0)