Searched refs:feed_val (Results 1 – 6 of 6) sorted by relevance
| /external/tensorflow/tensorflow/python/client/ |
| D | session.py | 85 def _get_feeds_for_indexed_slices(feed, feed_val): argument
88 [feed.values, feed.indices, feed.dense_shape], feed_val))
121 lambda feed, feed_val: list(
122 zip([feed.indices, feed.values, feed.dense_shape], feed_val)),
135 lambda feed, feed_val: [(feed, feed_val)], lambda feed: [feed])
1105 def _feed_fn(feed, feed_val): argument
1108 return feed_fn(feed, feed_val)
1127 for feed, feed_val in feed_dict.items():
1128 for subfeed, subfeed_val in _feed_fn(feed, feed_val):
1141 str(feed_val) + ' which was passed to the '
[all …]
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| D | session_benchmark.py | 51 feed_val = np.random.rand(size).astype(np.float32)
59 sess.run(no_op, feed_dict={p: feed_val}) # Warm-up run.
62 sess.run(no_op, feed_dict={p: feed_val})
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| D | session_test.py | 1542 feed_val = constant_op.constant(5.0)
1544 sess.run(out_t, feed_dict={feed_t: feed_val})
1546 out_t.eval(feed_dict={feed_t: feed_val})
1548 out_t.op.run(feed_dict={feed_t: feed_val})
1881 feed_fn1 = lambda feed, feed_val: [(feed.sq, feed_val)] argument
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| /external/tensorflow/tensorflow/python/training/ |
| D | server_lib_test.py | 142 feed_val = np.empty([10000, 3000], dtype=np.float32)
143 feed_val.fill(0.5)
147 min_val, max_val = sess.run([min_t, max_t], feed_dict={p: feed_val})
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| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | check_ops_test.py | 968 feed_val = [[1], [2]]
974 sess.run(derived, feed_dict={placeholder: feed_val})
983 feed_val = [[1], [2]]
989 sess.run(derived, feed_dict={placeholder: feed_val})
996 feed_val = [[1], [2]]
998 sess.run(derived, feed_dict={placeholder: feed_val})
1005 feed_val = [[1], [2]]
1007 sess.run(derived, feed_dict={placeholder: feed_val})
1015 feed_val = [[4.0], [-1.0]]
1017 gradient_values, = sess.run(gradient, feed_dict={placeholder: feed_val})
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| /external/tensorflow/tensorflow/python/ops/ragged/ |
| D | ragged_tensor.py | 2586 def _ragged_tensor_session_feed(feed_key, feed_val): argument
2588 val_components = feed_val.nested_row_splits + (feed_val.flat_values,)
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