code stringlengths 3 6.57k |
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self._sparse_tensor(col3) |
range(batch_size) |
self._sparse_tensor(col_out) |
self.test_session() |
self._assert_sparse_tensor_equals(expected_out, sess.run(op) |
test_one_column_empty(self) |
self._sparse_tensor([['batch1-FC1-F1', 'batch1-FC1-F2']]) |
self._sparse_tensor([], 1) |
self._sparse_tensor([['batch1-FC3-F1', 'batch1-FC3-F2']]) |
self.test_session() |
self._assert_sparse_tensor_empty(sess.run(op) |
test_some_columns_empty(self) |
self._sparse_tensor([['batch1-FC1-F1', 'batch1-FC1-F2']], 2) |
self._sparse_tensor([['batch1-FC2-F1'], ['batch2-FC2-F1']], 2) |
self._sparse_tensor([['batch1-FC3-F1', 'batch1-FC3-F2']], 2) |
self.test_session() |
self._assert_sparse_tensor_equals(expected_out, sess.run(op) |
test_all_columns_empty(self) |
self._sparse_tensor([]) |
self._sparse_tensor([]) |
self._sparse_tensor([]) |
self.test_session() |
self._assert_sparse_tensor_empty(sess.run(op) |
test_hashed_output_zero_bucket(self) |
self._sparse_tensor([['batch1-FC1-F1']]) |
self._sparse_tensor([['batch1-FC2-F1']]) |
self._sparse_tensor([['batch1-FC3-F1']]) |
self._sparse_tensor([[3735511728867393167]]) |
self.test_session() |
self._assert_sparse_tensor_equals(expected_out, sess.run(op) |
test_hashed_output_zero_bucket_v2(self) |
self._sparse_tensor([['batch1-FC1-F1']]) |
self._sparse_tensor([['batch1-FC2-F1']]) |
self._sparse_tensor([['batch1-FC3-F1']]) |
self._sparse_tensor([[1971693436396284976]]) |
self.test_session() |
self._assert_sparse_tensor_equals(expected_out, sess.run(op) |
TODO(sibyl-Aix6ihai) |
test_hashed_output(self) |
self._sparse_tensor([['batch1-FC1-F1']]) |
self._sparse_tensor([['batch1-FC2-F1']]) |
self._sparse_tensor([['batch1-FC3-F1']]) |
self._sparse_tensor([[74]]) |
self.test_session() |
self._assert_sparse_tensor_equals(expected_out, sess.run(op) |
test_hashed_output_v2(self) |
self._sparse_tensor([['batch1-FC1-F1']]) |
self._sparse_tensor([['batch1-FC2-F1']]) |
self._sparse_tensor([['batch1-FC3-F1']]) |
self._sparse_tensor([[83]]) |
self.test_session() |
self._assert_sparse_tensor_equals(expected_out, sess.run(op) |
test_hashed_output_v1_has_collision(self) |
constant_op.constant([[359], [359 + 1024]]) |
constant_op.constant([list(range(10) |
list(range(10) |
sparse_ops.sparse_tensor_to_dense(cross) |
session.Session() |
cross_dense.eval() |
self.assertTrue(numpy.equal(values[0], values[1]) |
all() |
test_hashed_output_v2_has_no_collision(self) |
constant_op.constant([[359], [359 + 1024]]) |
constant_op.constant([list(range(10) |
list(range(10) |
sparse_ops.sparse_tensor_to_dense(cross) |
session.Session() |
cross_dense.eval() |
self.assertTrue(numpy.not_equal(values[0], values[1]) |
all() |
test_hashed_3x1x2(self) |
self._sparse_tensor([['batch1-FC2-F1']]) |
self._sparse_tensor([['batch1-FC3-F1', 'batch1-FC3-F2']]) |
self.test_session() |
sess.run(op) |
self.assertEqual(6, len(out.values) |
self.assertAllEqual([[0, i] for i in range(6) |
self.assertTrue(all(x < 1000 and x >= 0 for x in out.values) |
len(out.values) |
len(set(out.values) |
self.assertTrue(all_values_are_different) |
_assert_sparse_tensor_empty(self, sp) |
self.assertEquals(0, sp.indices.size) |
self.assertEquals(0, sp.values.size) |
TODO(zakaria) |
self.assertEquals(0, sp.dense_shape[1]) |
_assert_sparse_tensor_equals(self, sp1, sp2) |
self.assertAllEqual(sp1.indices.eval() |
self.assertAllEqual(sp1.values.eval() |
self.assertAllEqual(sp1.dense_shape.eval() |
_sparse_tensor(self, data, batch_size=-1) |
zip(data, range(len(data) |
zip(batch, range(len(batch) |
indices.append([batch_ix, column_ix]) |
values.append(column) |
max(max_col_count, column_ix + 1) |
len(data) |
isinstance(values[0], str) |
constant_op.constant(indices, dtypes.int64, [len(indices) |
constant_op.constant(values, value_type, [len(indices) |
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