| Commit message (Collapse) | Author | Age |
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Change: 153925676
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Change: 153902768
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Change: 153896372
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DO NOT CHERRYPICK INTO 1.1 BRANCH. This should only be released
as part of TensorFlow 1.2.
Change: 153891187
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Fix weighted loss.
Fix some lint errors.
Change: 153887559
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Change: 153873095
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Change: 153863140
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Change: 153861823
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Change: 153861680
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Change: 153861629
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Provides basic introspection and "unwrap" services, allowing tooling code to fully 'understand' the wrapped object.
Change: 153854044
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Change: 153851292
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Change: 153850549
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This flag is unnecessary, as we can get the path to ptxas from tensorflow::CudaRoot().
Change: 153847918
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Change: 153847440
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Change: 153843609
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Change: 153837827
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Change: 153825726
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This change reduces the overhead imposed by string processing and
rendezvous invocation in the DirectSession::Run() call by 1--2 microseconds
per value fed or fetched.
RELNOTES: Improved DirectSession::Run() overhead and error checking. Feeding a value of the wrong type will now synchronously raise an INVALID_ARGUMENT error instead of asynchronously raising an INTERNAL error. Code that depends on the (undefined) behavior when feeding a tensor of the wrong type may need to be updated.
Change: 153797943
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Change: 153795265
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- CommaSeparatedString and VectorString added to xla_util.h
- ReferenceUtil can now do more general Pad ops.
Change: 153782516
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Change: 153780747
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few text runs.
Change: 153780710
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Change: 153776958
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This is sort of pedantic, but the Python prompt prints strings with quotes.
Change: 153772799
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Remove "WEIGHTED_" prefix from other Reduction constants.
Change: 153758104
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1. dynamic_decode now returns a third parameter: the sequence lengths
from decoding (minibatch entries that finished earlier have a shorter
sequence length)
2. beam search decoder now uses the gather_tree C++ op
3. the gather_tree c++ op now expects sequence_length to be a matrix shaped
`[batch_size, beam_width]` (each beam may have its own sequence length).
Change: 153756869
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Append the parameter number to the fusion parameter name, and use the parameter
name rather the instruction name in creating the new parameter.
Show the paramameter number when printing out parameter instructions.
Change: 153752424
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No optimizations make use of it yet.
Change: 153751713
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The assertEmpty and assertNontEmpty methods do not appear to be universally available across the environments that TF is tested on.
Change: 153751634
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A recent change in grpc_server_lib removed const from
the master_session_factory function. This change fixes
master_env.h to accurately reflect the new type
signature.
Change: 153751309
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Change: 153748425
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Change: 153747523
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Change: 153741673
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downloadable at https://ci.tensorflow.org/view/Nightly/job/nightly-android/
This contains TensorFlowInferenceInterface and the Java API, as well as all of the native prebuilt libraries. This means that TF can be integrated into an Android Studio app simply by downloading the AAR file to e.g. aar/, and then adding the following into a gradle build file:
allprojects {
repositories {
jcenter()
flatDir {
dirs 'aar'
}
}
}
dependencies {
compile(name:'tensorflow', ext:'aar')
}
Change: 153741338
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Change: 153739304
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Change: 153737501
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Change: 153736477
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- remove \ from within strings
- remove :0 from inputs and outputs, so fold_constants works
- make sure fold_(old_)batch_norms runs before quantize_weigths
and round_weights.
Change: 153728959
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Change: 153726368
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Change: 153722905
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Change: 153718592
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pool: this ensures that the thread pool is reset whenever the session is reset.
Change: 153718067
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Change: 153717143
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Change: 153709951
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Without the metadata, it's hard to correlate HLO instructions to TF ops after fusion.
Change: 153709552
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This includes TF op names and op types.
Change: 153708854
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Change: 153707385
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StatSummarizer.
Change: 153705191
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Change: 153680516
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