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Lines Matching +refs:protobuf +refs:mode +refs:syntax +refs:table

145 …protobuf` in `setup.py` since `protobuf` after version 3.20 is currently incompatible with TensorF…
149 …protobuf` in `setup.py` since `protobuf` after version 3.20 is currently incompatible with TensorF…
153 …protobuf` in `setup.py` since `protobuf` after version 3.20 is currently incompatible with TensorF…
157 …protobuf` in `setup.py` since `protobuf` after version 3.20 is currently incompatible with TensorF…
267     *   Eager mode can now execute each op as a `tf.function`, allowing for more
1205     *   Rename fields `SignatureDef` table in schema to maximize the parity with
1286         be one of `OFF` (equivalent to today's `"parallel_epochs"` mode),
1287         `DYNAMIC` (equivalent to today's `"distributed_epoch"` mode), or one of
1396         `tf.lookup.StaticHashTable.__init__` to create the table in anonymous
1397         mode. In this mode, the table resource can only be accessed via resource
1698     the API only works in graph mode and is not customizable. The function is
1767         *   Renamed `"binary"` output mode to `"multi_hot"` for
1772         *   Added a new output mode `"one_hot"` for `CategoryEncoding`,
1775             dimension if necessary. Use this mode on rank 1 inputs for the old
1829         generic mutable hash table implementation.
1833             into the table.
2737 *   Fixes vulnerabilities where session operations in eager mode lead to null
2973 *   Fixes vulnerabilities where session operations in eager mode lead to null
3209 *   Fixes vulnerabilities where session operations in eager mode lead to null
3445 *   Fixes vulnerabilities where session operations in eager mode lead to null
3683     *   tf.data input pipelines can now be executed in debug mode, which
3687         debug mode can be enabled through
3907         `tf.config.experimental.mlir_bridge_rollout` to enable a \"safe\" mode.
3912         the MLIR bridge in a \"safe\" mode. This runs the MLIR bridge in a
3913         FallbackEnabled mode when an analysis of the graph determines that the
3962     *   Fixes vulnerabilities where session operations in eager mode lead to
4415     on Ampere based GPUs. TensorFloat-32, or TF32 for short, is a math mode for
4430     [sampling mode API](https://www.tensorflow.org/guide/profiler#profiling_apis).
4593         details). Builds including TensorFlow may fail with unexpected syntax
4651         on Ampere based GPUs.TensorFloat-32, or TF32 for short, is a math mode
4702 *   Adds support for a new "distributed_epoch" processing mode. This processing
4703     mode distributes a dataset across all tf.data workers, instead of having
4872 *   Fixes segfault raised by calling session-only ops in eager mode,
4984 *   Fixes segfault raised by calling session-only ops in eager mode
5025 *   Fixes segfault raised by calling session-only ops in eager mode
5075 *   Fixes segfault raised by calling session-only ops in eager mode
5121 *   Fixes segfault raised by calling session-only ops in eager mode
5166 *   Fixes segfault raised by calling session-only ops in eager mode
5375     *   Deprecate `tf.group`. It is not useful in eager mode.
5504         *   Enabled experimental support for a new quantization mode with 16-bit
5771         Eager mode.
5830     *   Speed up `GradientTape` in eager mode by auto-generating list of op
5954         error and the output mode is `in-place`.
6228     *   Added `tf.autodiff.ForwardAccumulator` for forward-mode autodiff
6384     *   Add an `implementation=3` mode for `tf.keras.layers.LocallyConnected2D`
6397     *   tflite object detection script has a debug mode.
6440 *   Fix accidental quadratic graph construction cost in graph-mode
6668     between CPU and GPU mode, since the CuDNN kernel is using sigmoid, we change
6669     the default for CPU mode to sigmoid as well. With that, the default GRU will
6734         in eager mode.
6822     *   Add an `implementation=3` mode for `tf.keras.layers.LocallyConnected2D`
6836     *   Add support for temporal sample weight mode in subclassed models.
6924     *   Fix accidental quadratic graph construction cost in graph-mode
7063     *   Add opkernel templates for common table operations.
7064     *   Fix callbacks do not log values in eager mode when a deferred build
7069     *   Add support for `add_metric` in the graph function mode.
7196 *   Callbacks now log values in eager mode when a deferred build model is used.
7237         tf.keras.experimental.export. (SignatureDef key for evaluation mode is
7261     *   Add opkernel templates for common table operations.
7265     *   Add support for `add_metric` in the graph function mode.
7317         unified backend between CPU and GPU mode, since the CuDNN kernel is
7318         using sigmoid, we change the default for CPU mode to sigmoid as well.
7337         eager mode.
7465     *   Update the doc with the details about the rounding mode used in
7537         between CPU and GPU mode, since the CuDNN kernel is using sigmoid, we
7538         change the default for CPU mode to sigmoid as well. With that, the
7605         `tf.data.Dataset.map` work in Eager mode.
7798         and `tf.keras.layers.LocallyConnected1D`. The new mode
7852     *   boosted trees: adding pruning mode.
8321 *   Eager mode is moving out of contrib, try `tf.enable_eager_execution()`.
9167     protobuf enum.
9203 *   Remove estimator_spec(mode) argument.
9328 *   Android demo: read MultiBox priors from txt file rather than protobuf.
9511 *   Added `index_to_string_table` which returns a lookup table that maps indices
9513 *   Add `string_to_index_table`, which returns a lookup table that matches
9516 *   Add `string_to_index_table`, which returns a lookup table that matches
9532 *   Android: TF stats now exposed directly in demo and log when debug mode is
9641 *   Move Summary protobuf constructors to `tf.summary` submodule.
9966 *   Fix PIP installation by not packaging protobuf as part of wheel, require
9967     protobuf 3.0.0b2.