Clairify tensorOf lifetime requirements - #190
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Signed-off-by: Ryan Nett <rnett@calpoly.edu>
Signed-off-by: Ryan Nett <rnett@calpoly.edu>
karllessard
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* Clairify tensorOf lifetime requirements Signed-off-by: Ryan Nett <rnett@calpoly.edu> * Do codegen Signed-off-by: Ryan Nett <rnett@calpoly.edu>
karllessard
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* 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 <S extends TNumber> * 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 (#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 (#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 (#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 (#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 (#185) * Add profile for JDK11 and Automatic-Module-Name to jars * add maven.compiler.release=11 * Update manual ops for new codegen (#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 <S extends TNumber> * 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>
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Very simple PR that adds a note that the tensor can be closed afterwards to tensorOf. This is not obvious since it depends on the native behavior (I've tested it in graph and eager mode and it works).