/external/tensorflow/tensorflow/python/ops/ |
D | sparse_ops.py | 53 def _convert_to_sparse_tensor(sp_input): argument 65 if isinstance(sp_input, sparse_tensor.SparseTensorValue): 66 return sparse_tensor.SparseTensor.from_value(sp_input) 67 if not isinstance(sp_input, sparse_tensor.SparseTensor): 69 return sp_input 87 return [_convert_to_sparse_tensor(sp_input) for sp_input in sp_inputs] 89 return (_convert_to_sparse_tensor(sp_input) for sp_input in sp_inputs) 104 def sparse_expand_dims(sp_input, axis=None, name=None): argument 123 rank = sp_input.dense_shape.get_shape()[0] 126 with ops.name_scope(name, default_name="expand_dims", values=[sp_input]): [all …]
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/external/tensorflow/tensorflow/python/kernel_tests/ |
D | sparse_reshape_op_test.py | 55 sp_input = sparse_tensor.SparseTensor.from_value( 57 self.assertAllEqual((5, 6), sp_input.get_shape()) 58 sp_output = sparse_ops.sparse_reshape(sp_input, shape=(1, 5, 2, 3)) 62 sp_input = sparse_tensor.SparseTensor.from_value( 64 self.assertAllEqual((2, 3, 4), sp_input.get_shape()) 65 sp_output = sparse_ops.sparse_reshape(sp_input, shape=(2, -1)) 70 sp_input = sparse_tensor.SparseTensor.from_value( 73 sparse_ops.sparse_reshape(sp_input, shape=(-1, 2, -1)) 77 sp_input = sparse_tensor.SparseTensor.from_value( 80 sparse_ops.sparse_reshape(sp_input, shape=(-1, 7)) [all …]
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D | sparse_slice_op_test.py | 86 sp_input = self._SparseTensor_4x6() 87 sp_tensor0 = sparse_ops.sparse_slice(sp_input, [0, 0], [2, 6]) 88 sp_tensor1 = sparse_ops.sparse_slice(sp_input, [2, 0], [3, 7]) 104 sp_input = self._SparseTensor_5x7() 105 sp_tensor0 = sparse_ops.sparse_slice(sp_input, [0, 0], [5, 3]) 106 sp_tensor1 = sparse_ops.sparse_slice(sp_input, [0, 3], [5, 2]) 107 sp_tensor2 = sparse_ops.sparse_slice(sp_input, [0, 5], [5, 2]) 123 sp_tensor0 = sparse_ops.sparse_slice(sp_input, [0, 0], [5, 2]) 124 sp_tensor1 = sparse_ops.sparse_slice(sp_input, [0, 2], [5, 2]) 125 sp_tensor2 = sparse_ops.sparse_slice(sp_input, [0, 4], [5, 2]) [all …]
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D | sparse_reorder_op_test.py | 53 sp_input = sparse_tensor.SparseTensor.from_value( 55 self.assertAllEqual((5, 6), sp_input.get_shape()) 56 sp_output = sparse_ops.sparse_reorder(sp_input) 72 sp_input = self._SparseTensorPlaceholder() 74 sp_output = sparse_ops.sparse_reorder(sp_input) 76 output_val = sess.run(sp_output, {sp_input: input_val}) 99 sp_input = self._SparseTensorPlaceholder() 101 sp_output = sparse_ops.sparse_reorder(sp_input) 103 output_val = sess.run(sp_output, {sp_input: input_val}) 114 sp_input = sparse_tensor.SparseTensor(input_val.indices, [all …]
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D | sparse_ops_test.py | 77 sp_input = self._SparseTensor_5x6(dtypes.int32) 78 output = sparse_ops.sparse_to_indicator(sp_input, 50) 89 sp_input = self._SparseTensor_5x6(dtypes.int64) 90 output = sparse_ops.sparse_to_indicator(sp_input, 50) 101 sp_input = self._SparseTensor_2x3x4(dtypes.int64) 102 output = sparse_ops.sparse_to_indicator(sp_input, 200) 302 for sp_input in (self._SparseTensorValue_5x6(), self._SparseTensor_5x6()): 304 sp_output = sparse_ops.sparse_retain(sp_input, to_retain) 314 sp_input = self._SparseTensor_5x6() 316 sp_output = sparse_ops.sparse_retain(sp_input, to_retain) [all …]
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D | sparse_serialization_ops_test.py | 73 sp_input = self._SparseTensorValue_5x6(np.arange(6)) 74 serialized = serialize_fn(sp_input, out_type=out_type) 79 self.assertAllEqual(indices, sp_input[0]) 80 self.assertAllEqual(values, sp_input[1]) 81 self.assertAllEqual(shape, sp_input[2]) 97 sp_input = self._SparseTensorValue_5x6(np.arange(6)) 98 serialized = serialize_fn(sp_input, out_type=out_type) 107 self.assertAllEqual(combined_indices[:6, 1:], sp_input[0]) 109 self.assertAllEqual(combined_indices[6:, 1:], sp_input[0]) 110 self.assertAllEqual(combined_values[:6], sp_input[1]) [all …]
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D | sparse_split_op_test.py | 83 sp_input=self._SparseTensor_4x6(), num_split=2, axis=0) 101 sp_input=self._SparseTensor_5x7(), num_split=3, axis=1) 119 sp_input=self._SparseTensor_5x7(), num_split=4, axis=1) 141 sp_input=self._SparseTensor_5x7(), num_split=2, axis=0) 156 sp_input=self._SparseTensor_5x7(), num_split=3, axis=0) 178 sp_input=self._SparseTensor_4x6(), num_split=4, axis=0) 201 sp_input=self._SparseTensor_4x6(), num_split=3, axis=1) 220 sp_input=self._SparseTensor_4x6(), num_split=6, axis=1) 246 for sp_input in (self._SparseTensorValue_3x4x2(), 250 sp_input=sp_input, num_split=2, axis=1) [all …]
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D | sparse_tensors_map_ops_test.py | 106 sp_input = self._SparseTensorPlaceholder() 109 handle = add_sparse_to_tensors_map(sp_input) 111 handle0_value = sess.run(handle, feed_dict={sp_input: input0_val}) 112 handle1_value = sess.run(handle, feed_dict={sp_input: input1_val}) 157 sp_input = self._SparseTensorPlaceholder() 160 handle = add_sparse_to_tensors_map(sp_input) 162 handle0_value = sess.run(handle, feed_dict={sp_input: input0_val}) 163 handle1_value = sess.run(handle, feed_dict={sp_input: input1_val})
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.sparse.pbtxt | 29 …argspec: "args=[\'sp_input\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'… 37 …argspec: "args=[\'sp_input\', \'default_value\', \'name\'], varargs=None, keywords=None, defaults=… 65 …argspec: "args=[\'sp_input\', \'axis\', \'keepdims\', \'reduction_axes\', \'keep_dims\'], varargs=… 69 …argspec: "args=[\'sp_input\', \'axis\', \'keepdims\', \'reduction_axes\', \'keep_dims\'], varargs=… 73 …argspec: "args=[\'sp_input\', \'axis\', \'keepdims\', \'reduction_axes\', \'keep_dims\'], varargs=… 77 …argspec: "args=[\'sp_input\', \'axis\', \'keepdims\', \'reduction_axes\', \'keep_dims\'], varargs=… 81 argspec: "args=[\'sp_input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " 85 … argspec: "args=[\'sp_input\', \'new_shape\'], varargs=None, keywords=None, defaults=[\'None\'], " 89 …argspec: "args=[\'sp_input\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\… 93 argspec: "args=[\'sp_input\', \'to_retain\'], varargs=None, keywords=None, defaults=None" [all …]
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D | tensorflow.io.pbtxt | 149 …argspec: "args=[\'sp_input\', \'name\', \'out_type\'], varargs=None, keywords=None, defaults=[\'No… 153 …argspec: "args=[\'sp_input\', \'name\', \'out_type\'], varargs=None, keywords=None, defaults=[\'No…
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D | tensorflow.pbtxt | 1997 …argspec: "args=[\'sp_input\', \'name\', \'out_type\'], varargs=None, keywords=None, defaults=[\'No… 2001 …argspec: "args=[\'sp_input\', \'name\', \'out_type\'], varargs=None, keywords=None, defaults=[\'No… 2073 …argspec: "args=[\'sp_input\', \'default_value\', \'name\'], varargs=None, keywords=None, defaults=… 2101 …argspec: "args=[\'sp_input\', \'axis\', \'keepdims\', \'reduction_axes\', \'keep_dims\'], varargs=… 2105 …argspec: "args=[\'sp_input\', \'axis\', \'keepdims\', \'reduction_axes\', \'keep_dims\'], varargs=… 2109 …argspec: "args=[\'sp_input\', \'axis\', \'keepdims\', \'reduction_axes\', \'keep_dims\'], varargs=… 2113 …argspec: "args=[\'sp_input\', \'axis\', \'keepdims\', \'reduction_axes\', \'keep_dims\'], varargs=… 2117 argspec: "args=[\'sp_input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " 2121 … argspec: "args=[\'sp_input\', \'new_shape\'], varargs=None, keywords=None, defaults=[\'None\'], " 2125 …argspec: "args=[\'sp_input\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\… [all …]
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.sparse.pbtxt | 29 …argspec: "args=[\'sp_input\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'… 37 …argspec: "args=[\'sp_input\', \'default_value\', \'name\'], varargs=None, keywords=None, defaults=… 53 …argspec: "args=[\'sp_input\', \'axis\', \'keepdims\', \'output_is_sparse\', \'name\'], varargs=Non… 57 …argspec: "args=[\'sp_input\', \'axis\', \'keepdims\', \'output_is_sparse\', \'name\'], varargs=Non… 61 argspec: "args=[\'sp_input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " 65 … argspec: "args=[\'sp_input\', \'new_shape\'], varargs=None, keywords=None, defaults=[\'None\'], " 69 …argspec: "args=[\'sp_input\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\… 73 argspec: "args=[\'sp_input\', \'to_retain\'], varargs=None, keywords=None, defaults=None" 89 …argspec: "args=[\'sp_input\', \'start\', \'size\', \'name\'], varargs=None, keywords=None, default… 93 argspec: "args=[\'sp_input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " [all …]
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D | tensorflow.io.pbtxt | 133 …argspec: "args=[\'sp_input\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<d… 137 …argspec: "args=[\'sp_input\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<d…
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/external/tensorflow/tensorflow/contrib/layers/python/ops/ |
D | sparse_feature_cross_op.py | 81 indices = [sp_input.indices for sp_input in sparse_inputs] 82 values = [sp_input.values for sp_input in sparse_inputs] 83 shapes = [sp_input.dense_shape for sp_input in sparse_inputs]
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/external/tensorflow/tensorflow/contrib/factorization/python/ops/ |
D | factorization_ops_test.py | 43 def count_rows(self, sp_input): argument 45 array_ops.shape(array_ops.unique(sp_input.indices[:, 0])[0])[0], 48 def count_cols(self, sp_input): argument 50 array_ops.shape(array_ops.unique(sp_input.indices[:, 1])[0])[0], 146 sp_input=sparse_tensor.SparseTensor( 201 sp_input=sp_feeder, transpose_input=False) 217 sp_input=sp_feeder, 223 sp_input=sp_feeder, transpose_input=False) 273 sp_input=sp_feeder, transpose_input=False) 290 sp_input=sp_feeder, [all …]
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D | factorization_ops.py | 676 def update_row_factors(self, sp_input=None, transpose_input=False): argument 707 True, sp_input=sp_input, transpose_input=transpose_input) 709 def update_col_factors(self, sp_input=None, transpose_input=False): argument 740 False, sp_input=sp_input, transpose_input=transpose_input) 743 sp_input=None, argument 771 sp_input=sp_input, 776 sp_input=None, argument 804 sp_input=sp_input, 810 sp_input=None, argument 844 assert isinstance(sp_input, sparse_tensor.SparseTensor) [all …]
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D | wals.py | 230 def create_axis_ops(sp_input, num_items, update_fn, axis_name): argument 258 _, update_op, loss, reg, sum_weights = update_fn(sp_input) 259 input_indices = sp_input.indices[:, 0] 283 lambda x: model.update_row_factors(sp_input=x, transpose_input=False), 288 lambda x: model.update_col_factors(sp_input=x, transpose_input=True), 324 sp_input=input_rows, 330 sp_input=input_cols, 353 sp_input=input_rows, transpose_input=False) 357 sp_input=input_cols, transpose_input=True)
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/external/tensorflow/tensorflow/tools/compatibility/testdata/ |
D | test_file_v1_12.py | 36 sp_input = tf.SparseTensor( 42 serialized_sp = tf.serialize_sparse(sp_input, 'serialize_name', tf.string) 47 sp_input = tf.SparseTensor( 54 sp_input, 'serialize_name', tf.string)
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/external/tensorflow/tensorflow/core/api_def/base_api/ |
D | api_def_SparseReduceSumSparse.pbtxt | 40 Reduces `sp_input` along the dimensions given in `reduction_axes`. Unless
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D | api_def_SparseReduceMaxSparse.pbtxt | 40 Reduces `sp_input` along the dimensions given in `reduction_axes`. Unless
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D | api_def_SparseReduceMax.pbtxt | 46 Reduces `sp_input` along the dimensions given in `reduction_axes`. Unless
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D | api_def_SparseReduceSum.pbtxt | 46 Reduces `sp_input` along the dimensions given in `reduction_axes`. Unless
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D | api_def_SparseFillEmptyRows.pbtxt | 59 For example, suppose `sp_input` has shape `[5, 6]` and non-empty values:
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/external/tensorflow/ |
D | RELEASE.md | 1478 `tf.sparse_split(sp_input, num_split, axis)`. NOTE: we have temporarily
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