Metrics Phase 1 (#180)

[JimClarke5]

• Initial checkin

• Initial checkin and sync with master

• Initial checkin and sync with master

• JavaDoc cleanup

• Javadoc fixes

• Change LossInterface to LossMetric.
  Fix JavaDoc,
  modify one line code block to include braces.

• Removed hashmap for variables, they are not needed as the variables only live within a single instance of a Metric.

• reformat code

• Add tests for assertBroadcastable

• Change type to resultType

• Added V data type for sampleWeights so that it is not forced to be the same type as the return or internal variables,

• change 'type' to 'resultType'

• clean up mean and fix assert assertBroadcastable

• fix error message

• Change sampleWeights to have its own generic type

• Add commment about invalid tests expecting IllegalArgumentExceptions

• Add this exception instead of the more generic IllegalArgumentException when static shapes cannot boradcast.

• change IllegalArgumentException to NotBroadcastableException.
  change hasValidNonscalarShape to canBroadcastNonscalarShapes
  change hasValidNonscalarShape to canBroadcastNonscalarShapes

• reformat code

• Fis=x Javadoc
  move the dynamic shapes and rank down to the dynamic section so they are created needlessly when static
  Fix if statement to check for unknown size and unknown dimensions

• Fix Reduce to use boradcastWeights,
  renamed WeightBroadcastTest to AssertBroadcastableTest and added BroadcastWeightsTest

• Added comment to count to indicate that it may be weighted.

• Added SetsOps and fixed AssertBroadcastable to use SetsOps methods,

• Fixed based on various PR comments.

• Deleted, no longer needed after change to Variable handling in Metrics.

• Nicer error messages for mode-forbidden ops (Nicer error messages for mode-forbidden ops tensorflow/java#169)

• start fobbiden ops checks

Signed-off-by: Ryan Nett rnett@calpoly.edu

• fix style

Signed-off-by: Ryan Nett rnett@calpoly.edu

• move checks to builder method

Signed-off-by: Ryan Nett rnett@calpoly.edu

• Initialization imprvements (Initialization imprvements tensorflow/java#178)

• No-op on initAdd in eager mode

Signed-off-by: Ryan Nett rnett@calpoly.edu

• runInit() method in session

Signed-off-by: Ryan Nett rnett@calpoly.edu

• add doInitialization() to Runner

Signed-off-by: Ryan Nett rnett@calpoly.edu

• fix javadoc

Signed-off-by: Ryan Nett rnett@calpoly.edu

• assume only graph or eager environments

Signed-off-by: Ryan Nett rnett@calpoly.edu

• Remove doInit(), update javadocs

Signed-off-by: Ryan Nett rnett@calpoly.edu

• small fixes

Signed-off-by: Ryan Nett rnett@calpoly.edu

• Clairify tensorOf lifetime requirements (Clairify tensorOf lifetime requirements tensorflow/java#190)

• Clairify tensorOf lifetime requirements

Signed-off-by: Ryan Nett rnett@calpoly.edu

• Do codegen

Signed-off-by: Ryan Nett rnett@calpoly.edu

• Remove extra generics from op generation (Remove extra generics from op generation tensorflow/java#193)

• Successfully remove extra type params, but it broke javadoc generation

Signed-off-by: Ryan Nett rnett@calpoly.edu

• Generate covariant types

Signed-off-by: Ryan Nett rnett@calpoly.edu

• Do generation

Signed-off-by: Ryan Nett rnett@calpoly.edu

• Update help text.

Signed-off-by: Ryan Nett rnett@calpoly.edu

• Fixes

Signed-off-by: Ryan Nett rnett@calpoly.edu

• Add Java 11 support - Initial Phase (Add Java 11 support - Initial Phase tensorflow/java#185)

• Add profile for JDK11 and Automatic-Module-Name to jars

• add maven.compiler.release=11

• Update manual ops for new codegen (Update manual ops for new codegen tensorflow/java#196)

Signed-off-by: Ryan Nett rnett@calpoly.edu

• Fix Losses to use CHANNELS_FIRST/LAST for CategoricalCrossentropy

• Fix SetOps to properly convert sparse tensor to dense tensor using tf.sparse.sparseToDense with the output of tf.sparse.denseToDenseSetOperation

• Initial checkin

• Initial checkin and sync with master

• Initial checkin and sync with master

• JavaDoc cleanup

• Javadoc fixes

• Change LossInterface to LossMetric.
  Fix JavaDoc,
  modify one line code block to include braces.

• Removed hashmap for variables, they are not needed as the variables only live within a single instance of a Metric.

• reformat code

• Add tests for assertBroadcastable

• Change type to resultType

• Added V data type for sampleWeights so that it is not forced to be the same type as the return or internal variables,

• change 'type' to 'resultType'

• clean up mean and fix assert assertBroadcastable

• fix error message

• Change sampleWeights to have its own generic type

• Add commment about invalid tests expecting IllegalArgumentExceptions

• Add this exception instead of the more generic IllegalArgumentException when static shapes cannot boradcast.

• change IllegalArgumentException to NotBroadcastableException.
  change hasValidNonscalarShape to canBroadcastNonscalarShapes
  change hasValidNonscalarShape to canBroadcastNonscalarShapes

• reformat code

• Fis=x Javadoc
  move the dynamic shapes and rank down to the dynamic section so they are created needlessly when static
  Fix if statement to check for unknown size and unknown dimensions

• Fix Reduce to use boradcastWeights,
  renamed WeightBroadcastTest to AssertBroadcastableTest and added BroadcastWeightsTest

• Added comment to count to indicate that it may be weighted.

• Added SetsOps and fixed AssertBroadcastable to use SetsOps methods,

• Fixed based on various PR comments.

• Deleted, no longer needed after change to Variable handling in Metrics.

• Fix Losses to use CHANNELS_FIRST/LAST for CategoricalCrossentropy

• Fix SetOps to properly convert sparse tensor to dense tensor using tf.sparse.sparseToDense with the output of tf.sparse.denseToDenseSetOperation

Co-authored-by: Ryan Nett rnett@calpoly.edu