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| author |  A. Unique TensorFlower <gardener@tensorflow.org> | 2017-01-10 18:21:29 -0800 |
|---|---|---|
| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2017-01-10 18:46:37 -0800 |
| commit | 0e226af7eed5e2764aa8acb825af4cd3e06d2452 (patch) | |
| tree | 895fd53e8292ef7aff8832a9d8e601977d662526 /tensorflow/contrib/legacy_seq2seq | |
| parent | 1255a177c9bdfc073563f5baa39bd3f77577276b (diff) | |
Switch tf.concat_v2 references in third_party/tensorflow to tf.concat.
Change: 144153795
Diffstat (limited to 'tensorflow/contrib/legacy_seq2seq')
| -rw-r--r-- | tensorflow/contrib/legacy_seq2seq/python/kernel_tests/seq2seq_test.py | 14 | ||||
| -rw-r--r-- | tensorflow/contrib/legacy_seq2seq/python/ops/seq2seq.py | 4 |
2 files changed, 9 insertions, 9 deletions
diff --git a/tensorflow/contrib/legacy_seq2seq/python/kernel_tests/seq2seq_test.py b/tensorflow/contrib/legacy_seq2seq/python/kernel_tests/seq2seq_test.py index 993ce87211..041cc6bf82 100644 --- a/tensorflow/contrib/legacy_seq2seq/python/kernel_tests/seq2seq_test.py +++ b/tensorflow/contrib/legacy_seq2seq/python/kernel_tests/seq2seq_test.py @@ -325,7 +325,7 @@ class Seq2SeqTest(test.TestCase): inp = [constant_op.constant(0.5, shape=[2, 2])] * 2 enc_outputs, enc_state = core_rnn.static_rnn( cell, inp, dtype=dtypes.float32) - attn_states = array_ops.concat_v2([ + attn_states = array_ops.concat([ array_ops.reshape(e, [-1, 1, cell.output_size]) for e in enc_outputs ], 1) dec_inp = [constant_op.constant(0.4, shape=[2, 2])] * 3 @@ -347,7 +347,7 @@ class Seq2SeqTest(test.TestCase): inp = [constant_op.constant(0.5, shape=[2, 2])] * 2 enc_outputs, enc_state = core_rnn.static_rnn( cell, inp, dtype=dtypes.float32) - attn_states = array_ops.concat_v2([ + attn_states = array_ops.concat([ array_ops.reshape(e, [-1, 1, cell.output_size]) for e in enc_outputs ], 1) dec_inp = [constant_op.constant(0.4, shape=[2, 2])] * 3 @@ -411,7 +411,7 @@ class Seq2SeqTest(test.TestCase): inp = [constant_op.constant(0.5, shape=[2, 2])] * 2 enc_outputs, enc_state = core_rnn.static_rnn( cell, inp, dtype=dtypes.float32) - attn_states = array_ops.concat_v2([ + attn_states = array_ops.concat([ array_ops.reshape(e, [-1, 1, cell.output_size]) for e in enc_outputs ], 1) dec_inp = [constant_op.constant(0.4, shape=[2, 2])] * 3 @@ -439,9 +439,9 @@ class Seq2SeqTest(test.TestCase): inp = constant_op.constant(0.5, shape=[2, 2, 2]) enc_outputs, enc_state = core_rnn.static_rnn( cell, inp, dtype=dtypes.float32) - attn_states = array_ops.concat_v2([ - array_ops.reshape(e, [-1, 1, cell.output_size]) for e in - enc_outputs + attn_states = array_ops.concat([ + array_ops.reshape(e, [-1, 1, cell.output_size]) + for e in enc_outputs ], 1) dec_inp = [constant_op.constant(0.4, shape=[2, 2])] * 3 dec, mem = seq2seq_lib.attention_decoder( @@ -466,7 +466,7 @@ class Seq2SeqTest(test.TestCase): cell = core_rnn_cell_impl.GRUCell(2) enc_outputs, enc_state = core_rnn.static_rnn( cell, inp, dtype=dtypes.float32) - attn_states = array_ops.concat_v2([ + attn_states = array_ops.concat([ array_ops.reshape(e, [-1, 1, cell.output_size]) for e in enc_outputs ], 1) dec_inp = [ diff --git a/tensorflow/contrib/legacy_seq2seq/python/ops/seq2seq.py b/tensorflow/contrib/legacy_seq2seq/python/ops/seq2seq.py index 9ca66fcd5d..bc36e9dced 100644 --- a/tensorflow/contrib/legacy_seq2seq/python/ops/seq2seq.py +++ b/tensorflow/contrib/legacy_seq2seq/python/ops/seq2seq.py @@ -639,7 +639,7 @@ def attention_decoder(decoder_inputs, ndims = q.get_shape().ndims if ndims: assert ndims == 2 - query = array_ops.concat_v2(query_list, 1) + query = array_ops.concat(query_list, 1) for a in xrange(num_heads): with variable_scope.variable_scope("Attention_%d" % a): y = linear(query, attention_vec_size, True) @@ -853,7 +853,7 @@ def embedding_attention_seq2seq(encoder_inputs, top_states = [ array_ops.reshape(e, [-1, 1, cell.output_size]) for e in encoder_outputs ] - attention_states = array_ops.concat_v2(top_states, 1) + attention_states = array_ops.concat(top_states, 1) # Decoder. output_size = None |