/external/tensorflow/tensorflow/python/kernel_tests/ |
sparse_slice_op_test.py | 24 from tensorflow.python.ops import sparse_ops 83 sp_tensor0 = sparse_ops.sparse_slice(sp_input, [0, 0], [2, 6]) 84 sp_tensor1 = sparse_ops.sparse_slice(sp_input, [2, 0], [3, 7]) 100 sp_tensor0 = sparse_ops.sparse_slice(sp_input, [0, 0], [5, 3]) 101 sp_tensor1 = sparse_ops.sparse_slice(sp_input, [0, 3], [5, 2]) 102 sp_tensor2 = sparse_ops.sparse_slice(sp_input, [0, 5], [5, 2]) 118 sp_tensor0 = sparse_ops.sparse_slice(sp_input, [0, 0], [5, 2]) 119 sp_tensor1 = sparse_ops.sparse_slice(sp_input, [0, 2], [5, 2]) 120 sp_tensor2 = sparse_ops.sparse_slice(sp_input, [0, 4], [5, 2]) 121 sp_tensor3 = sparse_ops.sparse_slice(sp_input, [0, 6], [5, 2] [all...] |
sparse_serialization_ops_test.py | 26 from tensorflow.python.ops import sparse_ops 83 self._testSerializeDeserializeHelper(sparse_ops.serialize_sparse, 84 sparse_ops.deserialize_sparse) 87 self._testSerializeDeserializeHelper(sparse_ops.serialize_sparse, 88 sparse_ops.deserialize_sparse, 114 self._testSerializeDeserializeBatchHelper(sparse_ops.serialize_sparse, 115 sparse_ops.deserialize_sparse) 119 sparse_ops.serialize_sparse, sparse_ops.deserialize_many_sparse) 122 self._testSerializeDeserializeBatchHelper(sparse_ops.serialize_sparse [all...] |
sparse_cross_op_test.py | 27 from tensorflow.python.ops import sparse_ops 35 op = sparse_ops._sparse_cross([ 50 op = sparse_ops._sparse_cross([ 70 op = sparse_ops._sparse_cross([ 84 op = sparse_ops._sparse_cross([ 102 op = sparse_ops._sparse_cross([ 119 op = sparse_ops._sparse_cross([ 135 op = sparse_ops._sparse_cross([ 177 op = sparse_ops._sparse_cross([ 206 op = sparse_ops._sparse_cross( [all...] |
sparse_split_op_test.py | 24 from tensorflow.python.ops import sparse_ops 80 sp_tensors = sparse_ops.sparse_split( 97 sp_tensors_3 = sparse_ops.sparse_split( 115 sp_tensors_4 = sparse_ops.sparse_split( 136 sp_tensors_2 = sparse_ops.sparse_split( 151 sp_tensors_3 = sparse_ops.sparse_split( 172 sp_tensors = sparse_ops.sparse_split( 194 sparse_tensors = sparse_ops.sparse_split( 212 sparse_tensors = sparse_ops.sparse_split( 241 sparse_tensors = sparse_ops.sparse_split [all...] |
sparse_reshape_op_test.py | 26 from tensorflow.python.ops import sparse_ops 57 sp_output = sparse_ops.sparse_reshape(sp_input, shape=(1, 5, 2, 3)) 64 sp_output = sparse_ops.sparse_reshape(sp_input, shape=(2, -1)) 71 sparse_ops.sparse_reshape(sp_input, shape=(-1, 2, -1)) 77 sparse_ops.sparse_reshape(sp_input, shape=(-1, 7)) 82 sp_output = sparse_ops.sparse_reshape(input_val, [5, 6]) 93 sp_output = sparse_ops.sparse_reshape(sp_input, [5, 6]) 105 sp_output = sparse_ops.sparse_reshape(sp_input, shape) 116 sp_output = sparse_ops.sparse_reshape(sp_input, [-1, 6]) 127 sp_output = sparse_ops.sparse_reshape(sp_input, [3, 10] [all...] |
sparse_ops_test.py | 15 """Tests for Python ops defined in sparse_ops.""" 30 from tensorflow.python.ops import sparse_ops 76 output = sparse_ops.sparse_to_indicator(sp_input, 50).eval() 88 output = sparse_ops.sparse_to_indicator(sp_input, 50).eval() 100 output = sparse_ops.sparse_to_indicator(sp_input, 200).eval() 154 sp_output = sparse_ops.sparse_merge(indices, values, vocab_size) 163 sp_output = sparse_ops.sparse_merge(indices, values, vocab_size) 172 sp_output = sparse_ops.sparse_merge(indices, values, vocab_size) 181 sp_output = sparse_ops.sparse_merge( 191 sp_output = sparse_ops.sparse_merge [all...] |
sparse_reorder_op_test.py | 27 from tensorflow.python.ops import sparse_ops 55 sp_output = sparse_ops.sparse_reorder(sp_input) 61 sp_output = sparse_ops.sparse_reorder(input_val) 72 sp_output = sparse_ops.sparse_reorder(sp_input) 84 sp_output = sparse_ops.sparse_reorder(input_val) 98 sp_output = sparse_ops.sparse_reorder(sp_input) 113 sp_output = sparse_ops.sparse_reorder(sp_input)
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sparse_add_op_test.py | 33 from tensorflow.python.ops import sparse_ops 91 sp_sum = sparse_ops.sparse_add(sp_a, sp_b) 106 sp_sum = sparse_ops.sparse_add(sp_a, sp_b, 0.1) 125 sp_sum = sparse_ops.sparse_add(sp_a, sp_b, thresh=0.21) 134 sp_sum = sparse_ops.sparse_add(sp_a, sp_b, thresh=0.11) 149 sp_sum = sparse_ops.sparse_add(sp_a, sp_b) 167 s = sparse_ops.sparse_add(sparse, 173 s = sparse_ops.sparse_add(constant_op.constant(dense_np), 187 s = sparse_ops.sparse_add(sparse, dense) 204 s = sparse_ops.sparse_add(sparse, dense [all...] |
sparse_concat_op_test.py | 27 from tensorflow.python.ops import sparse_ops 144 sp_concat = sparse_ops.sparse_concat(concat_dim, [sp_a]) 166 sp_concat = sparse_ops.sparse_concat(concat_dim, [sp_a, sp_b]) 192 sp_concat = sparse_ops.sparse_concat(concat_dim, [sp_a, sp_d]) 217 sp_concat = sparse_ops.sparse_concat(concat_dim, [sp_a, sp_b, sp_c]) 241 sp_concat = sparse_ops.sparse_concat(concat_dim, [sp_a, sp_b]) 264 sparse_ops.sparse_concat(concat_dim, [sp_a, sp_e]) 275 sparse_ops.sparse_concat( 285 sp_concat = sparse_ops.sparse_concat(concat_dim, 300 sp_concat_dim0 = sparse_ops.sparse_concat [all...] |
sparse_to_dense_op_py_test.py | 25 from tensorflow.python.ops import sparse_ops 34 return sparse_ops.sparse_to_dense( 85 x = sparse_ops.sparse_to_dense(2, [4], 7).eval() 183 output = sparse_ops.sparse_to_dense(indices, shape, 1, 0) 187 output = sparse_ops.sparse_to_dense(indices, shape, 1, 0) 194 output = sparse_ops.sparse_to_dense(indices, shape, 1, 0)
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sparse_tensor_dense_matmul_op_test.py | 15 """Tests for sparse_ops.sparse_tensor_dense_matmul.""" 36 from tensorflow.python.ops import sparse_ops 71 tf_value_ans = sparse_ops.sparse_tensor_dense_matmul( 73 tf_tensor_ans = sparse_ops.sparse_tensor_dense_matmul( 117 result = sparse_ops.sparse_tensor_dense_matmul(x_st, y) 123 result_left_shape_unknown = sparse_ops.sparse_tensor_dense_matmul( 132 sparse_ops.sparse_tensor_dense_matmul(x_st_shape_inconsistent, y) 147 sparse_ops.sparse_tensor_dense_matmul(sparse_t, dense_t).eval() 151 sparse_ops.sparse_tensor_dense_matmul(sparse_t, dense_t).eval() 157 sparse_ops.sparse_tensor_dense_matmul [all...] |
sparse_tensors_map_ops_test.py | 28 from tensorflow.python.ops import sparse_ops 33 add_sparse_to_tensors_map = sparse_ops._add_sparse_to_tensors_map 34 add_many_sparse_to_tensors_map = sparse_ops._add_many_sparse_to_tensors_map 36 sparse_ops._take_many_sparse_from_tensors_map) 207 st_serialized = sparse_ops.serialize_many_sparse(st) 208 st_deserialized = sparse_ops.deserialize_many_sparse(
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scalar_test.py | 29 from tensorflow.python.ops import sparse_ops 119 self.check(sparse_ops.sparse_to_dense, (1, 4, 7),
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sparse_tensor_dense_matmul_grad_test.py | 26 from tensorflow.python.ops import sparse_ops 72 matmul = sparse_ops.sparse_tensor_dense_matmul(
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/external/tensorflow/tensorflow/contrib/layers/python/ops/ |
sparse_ops_test.py | 15 """Tests for tensorflow.contrib.layers.python.ops.sparse_ops.""" 23 from tensorflow.contrib.layers.python.ops import sparse_ops 46 st = sparse_ops.dense_to_sparse_tensor([1, 0, 2, 0]) 57 st = sparse_ops.dense_to_sparse_tensor([1.5, 0.0, 2.3, 0.0]) 68 st = sparse_ops.dense_to_sparse_tensor([True, False, True, False]) 79 st = sparse_ops.dense_to_sparse_tensor([b'qwe', b'', b'ewq', b'']) 90 st = sparse_ops.dense_to_sparse_tensor( 102 st = sparse_ops.dense_to_sparse_tensor([[1, 2, 0, 0], [3, 4, 5, 0]]) 111 st = sparse_ops.dense_to_sparse_tensor([[[1, 2, 0, 0], [3, 4, 5, 0]], 122 st = sparse_ops.dense_to_sparse_tensor(tensor [all...] |
/external/tensorflow/tensorflow/examples/adding_an_op/ |
zero_out_grad_2.py | 24 from tensorflow.python.ops import sparse_ops 43 to_zero_grad = sparse_ops.sparse_to_dense([index], shape, first_grad, 0)
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/external/tensorflow/tensorflow/contrib/framework/python/ops/ |
prettyprint_ops_test.py | 26 from tensorflow.python.ops import sparse_ops 48 sparse_ops.sparse_tensor_to_dense(a).eval(), 49 sparse_ops.sparse_tensor_to_dense(b).eval())
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/external/tensorflow/tensorflow/contrib/libsvm/python/kernel_tests/ |
decode_libsvm_op_test.py | 25 from tensorflow.python.ops import sparse_ops 39 features = sparse_ops.sparse_tensor_to_dense( 57 features = sparse_ops.sparse_tensor_to_dense(
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/external/tensorflow/tensorflow/python/data/util/ |
sparse.py | 25 from tensorflow.python.ops import sparse_ops 92 sparse_ops.deserialize_sparse(tensor, dtype=ty, rank=shape.ndims) 130 sparse_ops.serialize_many_sparse(tensor, out_type=dtypes.variant) 148 sparse_ops.serialize_sparse(tensor, out_type=dtypes.variant)
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/external/tensorflow/tensorflow/contrib/factorization/python/ops/ |
factorization_ops_test_utils.py | 29 from tensorflow.python.ops import sparse_ops 143 resid = sparse_ops.sparse_add(input_mat, sp_approx * (-1)) 146 sparse_ops.sparse_reduce_sum(resid_sq) - 147 sparse_ops.sparse_reduce_sum(sp_approx_sq) 149 loss += (sparse_ops.sparse_reduce_sum(wr * (resid_sq * wc)) +
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/external/tensorflow/tensorflow/python/ops/ |
sparse_grad.py | 16 """Gradients for operators defined in sparse_ops.py.""" 26 from tensorflow.python.ops import sparse_ops 57 sp_ordered = sparse_ops.sparse_reorder(sp_unordered) 209 dy = sparse_ops.sparse_add( 254 sum_reduced = -sparse_ops.sparse_reduce_sum(sp_product, [-1], keep_dims=True) 256 sp_sum = sparse_ops.sparse_dense_cwise_add(sp_grad, sum_reduced)
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/external/tensorflow/tensorflow/contrib/layers/python/layers/ |
encoders.py | 23 from tensorflow.contrib.layers.python.ops import sparse_ops 80 sparse_ids = sparse_ops.dense_to_sparse_tensor(ids)
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/external/tensorflow/tensorflow/contrib/tensor_forest/python/ops/ |
data_ops.py | 27 from tensorflow.python.ops import sparse_ops 162 processed_sparse_features = sparse_ops.sparse_concat(1, sparse_features) 201 sparse_ops.sparse_tensor_to_dense( 209 return math_ops.to_float(sparse_ops.sparse_tensor_to_dense(
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/external/tensorflow/tensorflow/contrib/slim/python/slim/data/ |
tfexample_decoder.py | 37 from tensorflow.python.ops import sparse_ops 197 shape_dim = sparse_ops.sparse_tensor_to_dense(shape_dim) 202 tensor = sparse_ops.sparse_reshape(tensor, shape) 203 tensor = sparse_ops.sparse_tensor_to_dense(tensor, self._default_value) 324 shape = sparse_ops.sparse_tensor_to_dense(shape) 339 tensor = sparse_ops.sparse_tensor_to_dense(tensor, self._default_value)
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/external/tensorflow/tensorflow/contrib/data/python/kernel_tests/ |
flat_map_dataset_op_test.py | 29 from tensorflow.python.ops import sparse_ops 113 sparse_ops.sparse_to_dense(x.indices, x.dense_shape, x.values))
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