commit | 0f063cab519f582e2c84560fe1bd82f58f5095c8 | [log] [tgz] |
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author | A. Unique TensorFlower <gardener@tensorflow.org> | Fri Feb 16 12:29:00 2018 -0800 |
committer | TensorFlower Gardener <gardener@tensorflow.org> | Fri Feb 16 12:33:12 2018 -0800 |
tree | a817b1dd0663476ceded928fb391bc7e06e66d3d | |
parent | 8dfaa05d2824290b33eb922a5269f0772f53478e [diff] |
Optimized quantized LSTM cell runtime NEON implementation. Notice: unlike many NEON paths that we have in this optimized_ops.h file, which are enabled also on x86 by means of arm_neon_sse.h (#ifdef USE_NEON), this one is only enabled on real NEON (#ifdef GEMMLOWP_NEON). The reason for that is that gemmlowp's FixedPoint class is templatized in the underlying raw integer/register type, e.g. here int16x8_t, and on SSE there is only a single __m128i type for all integer types (both int16x8_t and int32x4_t), making it non-trivial to support this on SSE without contriving this code on NEON. PiperOrigin-RevId: 186031054
Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android |
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TensorFlow is an open source software library for numerical computation using data flow graphs. The graph nodes represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture lets you deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code. TensorFlow also includes TensorBoard, a data visualization toolkit.
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