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tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
int64_t axis = intAttr.getInt(); if (axis < 0) { axis += rank; } return b->getI64IntegerAttr(axis); } // Returns a PrecisionConfig as an array attribute based on whether TF32 // execution is enabled static ArrayAttr GetPrecisionConfig(Builder *builder) { mlir::mhlo::Precision precision = tsl::tensor_float_32_execution_enabled() ? mhlo::Precision::DEFAULT
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 291.8K bytes - Viewed (0) -
RELEASE.md
Additional details below. * Adds Support for [TensorFloat-32](https://blogs.nvidia.com/blog/2020/05/14/tensorfloat-32-precision-format/) on Ampere based GPUs. TensorFloat-32, or TF32 for short, is a math mode for NVIDIA Ampere based GPUs and is enabled by default. * A major refactoring of the internals of the Keras Functional API has been
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)