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Searched refs:reshaped (Results 1 – 23 of 23) sorted by relevance

/external/tensorflow/tensorflow/python/distribute/
Dall_reduce.py52 reshaped = []
55 reshaped.append(array_ops.reshape(t, [-1]))
56 tensors = reshaped
71 reshaped = []
74 reshaped.append(array_ops.reshape(t, shape))
75 return reshaped
/external/tensorflow/tensorflow/compiler/tf2xla/kernels/
Ddepthtospace_op.cc146 xla::XlaOp reshaped = xla::Reshape(input, reshaped_shape); in Compile() local
157 xla::XlaOp permuted_reshaped = xla::Transpose(reshaped, transpose_order); in Compile()
Dspacetodepth_op.cc151 xla::XlaOp reshaped = xla::Reshape(input, reshaped_shape); in Compile() local
161 xla::XlaOp permuted_reshaped = xla::Transpose(reshaped, transpose_order); in Compile()
Dbatchtospace_op.cc75 xla::XlaOp reshaped = xla::Reshape(input, reshaped_shape); in BatchToSpace() local
93 xla::XlaOp permuted = xla::Transpose(reshaped, permutation); in BatchToSpace()
/external/tensorflow/tensorflow/core/api_def/base_api/
Dapi_def_BatchToSpaceND.pbtxt27 1. Reshape `input` to `reshaped` of shape:
32 2. Permute dimensions of `reshaped` to produce `permuted` of shape
/external/tensorflow/tensorflow/core/grappler/optimizers/data/vectorization/
Dcwise_op_vectorizer.cc103 Output reshaped = ops::Reshape(scope, input, new_shape); in ExpandDimsForBroadcast() local
105 return WrappedTensor(reshaped.node(), 0, true); in ExpandDimsForBroadcast()
/external/tensorflow/tensorflow/contrib/layers/python/layers/
Dfeature_column_ops.py82 reshaped = array_ops.expand_dims(tensor, -1)
86 reshaped.set_shape(static_shape.as_list() + [1])
87 return reshaped
Dlayers.py1653 reshaped = array_ops.reshape(inputs, new_shape)
1668 reshaped.set_shape(static_outer_dims + [flattened_dimension])
1669 return reshaped
2877 reshaped = array_ops.reshape(inputs,
2880 outputs = array_ops.transpose(reshaped, [1, 3, 2, 0])
2882 outputs = array_ops.transpose(reshaped, [1, 2, 0, 3])
/external/tensorflow/tensorflow/python/ops/
Dctc_ops.py872 reshaped = sparse_ops.sparse_reshape(sparse, array_ops.shape(dense))
875 indices=reshaped.indices,
876 values=reshaped.values,
878 math_ops.cast(reshaped.dense_shape[0], dtypes.int64),
Dmath_grad.py173 reshaped = array_ops.reshape(permuted, (reduced_num, other_num))
176 left = math_ops.cumprod(reshaped, axis=0, exclusive=True)
177 right = math_ops.cumprod(reshaped, axis=0, exclusive=True, reverse=True)
/external/tensorflow/tensorflow/python/eager/
Dops_test.py253 reshaped = array_ops.reshape(value, shape)
254 self.assertAllEqual([[1], [2]], reshaped.cpu())
Dfunction_test.py1029 reshaped = reshape(value, shape).cpu()
1030 self.assertAllEqual(reshaped, [[1], [2]])
/external/tensorflow/tensorflow/cc/gradients/
Dnn_grad.cc72 auto reshaped = ExpandDims(scope, vec, -1); in BroadcastMul() local
73 return Multiply(scope, reshaped, mat); in BroadcastMul()
Dmath_grad.cc959 auto reshaped = Reshape( in ProdGrad() local
968 auto left = Cumprod(scope, reshaped, zero, Cumprod::Exclusive(true)); in ProdGrad()
976 Cumprod(scope, reshaped, zero, Cumprod::Exclusive(true).Reverse(true)); in ProdGrad()
/external/tensorflow/tensorflow/core/grappler/clusters/
Dsingle_machine_test.cc164 auto reshaped = ops::Reshape(root.WithOpName("reshaped"), square, new_shape); in TEST_F() local
165 auto final_shape = ops::Shape(root.WithOpName("final_shape"), reshaped); in TEST_F()
/external/tensorflow/tensorflow/python/grappler/
Dhierarchical_controller.py557 reshaped = array_ops.reshape(input_layer,
559 ff_output = math_ops.matmul(reshaped, w_grouping_ff)
/external/tensorflow/tensorflow/compiler/xla/g3doc/
Dtiled_layout.md96 t<sub>i</sub>), i.e. the array is reshaped to \
Doperation_semantics.md687 input feature dimension, and the filter would be reshaped from
/external/eigen/unsupported/Eigen/CXX11/src/Tensor/
DREADME.md1256 Returns a view of the input tensor that has been reshaped to the specified
1274 contents of a reshaped Tensor depend on the data layout of the original Tensor.
1329 Note that "b" itself was not reshaped but that instead the assignment is done to
/external/harfbuzz_ng/
DNEWS545 and two sides reshaped and concatenated, the shaping result is
/external/cldr/tools/java/org/unicode/cldr/util/data/transforms/
Den-IPA.txt11456 $x{reshaped → riʃept ; # rɛʃept
Dinternal_raw_IPA.txt137839 reshaped %29797 riʃˈept
Dinternal_raw_IPA-old.txt164471 reshaped %20629 riʃˈept