Lines Matching refs:serialized
106 # Check shapes; if serialized is a Tensor we need its size to
108 serialized = kwargs["serialized"]
109 batch_size = (serialized.eval().size if isinstance(serialized, ops.Tensor)
110 else np.asarray(serialized).size)
151 "serialized":
192 "serialized": [original.SerializeToString()],
203 "serialized": ["", ""],
220 serialized = [m.SerializeToString() for m in original]
225 "serialized": ops.convert_to_tensor(serialized),
236 serialized = [m.SerializeToString() for m in original]
241 "serialized": ops.convert_to_tensor(serialized),
265 serialized = [m.SerializeToString() for m in original]
285 "serialized": ops.convert_to_tensor(serialized),
313 serialized = [m.SerializeToString() for m in original]
325 "serialized": ops.convert_to_tensor(serialized),
345 serialized = [m.SerializeToString() for m in original]
365 "serialized": ops.convert_to_tensor(serialized),
398 serialized = [m.SerializeToString() for m in original]
413 "serialized": ops.convert_to_tensor(serialized),
433 serialized = [m.SerializeToString() for m in original]
447 "serialized":
448 ops.convert_to_tensor(serialized),
461 # for the creation of 'serialized'.
483 serialized = [
499 "serialized":
500 ops.convert_to_tensor(serialized),
519 serialized = [m.SerializeToString() for m in original]
529 "serialized":
530 ops.convert_to_tensor(serialized),
552 serialized = [m.SerializeToString() for m in original]
567 "serialized":
568 ops.convert_to_tensor(serialized),
611 serialized = [m.SerializeToString() for m in original]
628 "serialized":
629 ops.convert_to_tensor(serialized),
672 serialized = [m.SerializeToString() for m in original]
681 "serialized": ops.convert_to_tensor(serialized),
690 # During parsing, data read from the serialized proto is stored in buffers.
729 serialized = [m.SerializeToString() for m in original]
732 "serialized": ops.convert_to_tensor(serialized, dtype=dtypes.string),
772 serialized = [m.SerializeToString() for m in original]
796 "serialized": ops.convert_to_tensor(serialized),
826 "serialized": ops.convert_to_tensor(serialized),
849 "serialized": ops.convert_to_tensor(serialized),
866 "serialized": ops.convert_to_tensor(serialized),
883 "serialized": ops.convert_to_tensor(serialized),
900 "serialized": ops.convert_to_tensor(serialized),
913 "serialized": ops.convert_to_tensor(serialized),
970 serialized = original.SerializeToString()
1001 "serialized":
1002 ops.convert_to_tensor(serialized),
1082 # Check shapes; if serialized is a Tensor we need its size to
1103 serialized = original.SerializeToString()
1127 "serialized":
1128 ops.convert_to_tensor(serialized),
1160 serialized = original.SerializeToString()
1189 "serialized":
1190 ops.convert_to_tensor(serialized),
1221 serialized = original.SerializeToString()
1257 "serialized": ops.convert_to_tensor(serialized),
1283 serialized = original.SerializeToString()
1320 "serialized": ops.convert_to_tensor(serialized),
1340 serialized = original.SerializeToString()
1357 "serialized": ops.convert_to_tensor(serialized),
1369 serialized = original.SerializeToString()
1374 "serialized": ops.convert_to_tensor(serialized),
1387 serialized = original.SerializeToString()
1392 "serialized": ops.convert_to_tensor(serialized),
1410 serialized = original.SerializeToString()
1415 "serialized": ops.convert_to_tensor(serialized),
1430 serialized = original.SerializeToString()
1435 "serialized": ops.convert_to_tensor(serialized),
1452 "serialized": ops.convert_to_tensor(original.SerializeToString()),
1569 serialized = array_ops.placeholder(dtypes.string)
1570 tensor = parsing_ops.parse_tensor(serialized, dtypes.float32)
1573 feed_dict={serialized: tensor_proto.SerializeToString()})
1582 serialized = array_ops.placeholder(dtypes.string)
1583 tensor = parsing_ops.parse_tensor(serialized, dtypes.uint8)
1586 feed_dict={serialized: tensor_proto.SerializeToString()})
1595 serialized = array_ops.placeholder(dtypes.string)
1596 tensor = parsing_ops.parse_tensor(serialized, dtypes.uint16)
1601 tensor.eval(feed_dict={serialized: tensor_proto.SerializeToString()})
1605 serialized = array_ops.placeholder(dtypes.string)
1606 tensor = parsing_ops.parse_tensor(serialized, dtypes.uint16)
1609 "Could not parse `serialized` as TensorProto: 'bogus'"):
1610 tensor.eval(feed_dict={serialized: "bogus"})
1613 r"Expected `serialized` to be a scalar, got shape: \[1\]"):
1614 tensor.eval(feed_dict={serialized: ["bogus"]})
