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tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test.py
_CalibrationMethod = qc.CalibrationOptions.CalibrationMethod # Test cases for Static Range Quantization. # Tries to run all tests cases in both the graph mode (default in TF1) and the # eager mode (default in TF2) to ensure support for when TF2 is disabled. class StaticRangeQuantizationTest(quantize_model_test_base.QuantizedModelTest): @parameterized.parameters( testing.parameter_combinations([{ 'bias_fn': ( None,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 51.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/sparsecore/embedding_pipelining.cc
==============================================================================*/ /****************************************************************************** This pass implements automated pipelining for TPU embeddings defined using the TF2 Embedding API. This is designed for applications that have an embedding lookup on the SparseCore, followed by one or more dense layers on TensorCores, optionally followed by a backward pass (training update) with
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 92.9K bytes - Viewed (0)