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Searched refs:eval_results (Results 1 – 11 of 11) sorted by relevance

/external/tensorflow/tensorflow/contrib/learn/python/learn/
Dgraph_actions.py452 def _eval_results_to_str(eval_results): argument
453 return ', '.join('%s = %s' % (k, v) for k, v in sorted(eval_results.items()))
456 def _write_summary_results(output_dir, eval_results, current_global_step): argument
459 _eval_results_to_str(eval_results))
462 for key in eval_results:
463 if eval_results[key] is None:
467 if (isinstance(eval_results[key], np.float32) or
468 isinstance(eval_results[key], float)):
469 value.simple_value = float(eval_results[key])
568 eval_results = None
[all …]
Dexperiment.py56 def _pred_fn_wrapper(eval_results, checkpoint_path): argument
57 return predicate_fn(eval_results)
/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/
Destimator.py609 eval_results, global_step = self._evaluate_model(
619 if eval_results is not None:
620 eval_results.update({'global_step': global_step})
621 return eval_results
932 eval_results = evaluation.evaluate_once(
940 current_global_step = eval_results[global_step_key]
942 _write_dict_to_summary(eval_dir, eval_results, current_global_step)
944 return eval_results, current_global_step
1541 eval_results, global_step = self._estimator._evaluate_model(
1547 if eval_results is not None:
[all …]
/external/tensorflow/tensorflow/contrib/eager/python/examples/revnet/
Dmain_estimator_tpu.py239 eval_results = revnet_classifier.evaluate(
245 (eval_results, elapsed_time))
298 eval_results = revnet_classifier.evaluate(
300 tf.logging.info("Eval results: %s" % eval_results)
/external/tensorflow/tensorflow/examples/tutorials/layers/
Dcnn_mnist.py151 eval_results = mnist_classifier.evaluate(input_fn=eval_input_fn)
152 print(eval_results)
/external/tensorflow/tensorflow/contrib/seq2seq/python/kernel_tests/
Dbeam_search_decoder_test.py675 eval_results = self.evaluate({
680 max_sequence_length = np.max(eval_results['final_sequence_lengths'])
685 eval_results['final_outputs'].beam_search_decoder_output.scores.shape)
687 _t((batch_size, max_sequence_length, beam_width)), eval_results[
/external/python/cpython2/Lib/test/
Dtest_ast.py217 (eval_tests, eval_results, "eval")):
553 eval_results = [ variable
/external/tensorflow/tensorflow/python/keras/engine/
Dtraining_test.py2486 eval_results = model.evaluate(inputs, targets, batch_size=5)
2487 self.assertEqual(eval_results[-1], 1)
2488 self.assertEqual(eval_results[-2], 5)
2524 eval_results = model.evaluate(x, y, batch_size=5)
2525 self.assertAlmostEqual(eval_results[1], 1, 0)
2526 self.assertAlmostEqual(eval_results[2], 5, 0)
2649 eval_results = model.evaluate(x, y, batch_size=5)
2650 self.assertArrayNear(eval_results[1:4], [1, 1, 5], 0.1)
/external/tensorflow/tensorflow/contrib/autograph/examples/notebooks/
Drnn_keras_estimator.ipynb436 "eval_results = regressor.evaluate(\n",
441 "print('Eval loss at step %d: %s' % (eval_results['global_step'], eval_results['loss']))"
/external/python/cpython3/Lib/test/
Dtest_ast.py244 (eval_tests, eval_results, "eval")):
1194 eval_results = [ variable
/external/tensorflow/tensorflow/contrib/distribute/python/
Dkeras_test.py448 eval_results = est_keras.evaluate(input_fn=eval_input_fn, steps=1)
449 self.assertLess(eval_results['loss'], baseline_eval_results['loss'])