/external/tensorflow/tensorflow/python/distribute/ |
D | all_reduce.py | 52 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/ |
D | depthtospace_op.cc | 146 xla::XlaOp reshaped = xla::Reshape(input, reshaped_shape); in Compile() local 157 xla::XlaOp permuted_reshaped = xla::Transpose(reshaped, transpose_order); in Compile()
|
D | spacetodepth_op.cc | 151 xla::XlaOp reshaped = xla::Reshape(input, reshaped_shape); in Compile() local 161 xla::XlaOp permuted_reshaped = xla::Transpose(reshaped, transpose_order); in Compile()
|
D | batchtospace_op.cc | 75 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/ |
D | api_def_BatchToSpaceND.pbtxt | 27 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/ |
D | cwise_op_vectorizer.cc | 103 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/ |
D | feature_column_ops.py | 82 reshaped = array_ops.expand_dims(tensor, -1) 86 reshaped.set_shape(static_shape.as_list() + [1]) 87 return reshaped
|
D | layers.py | 1653 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/ |
D | ctc_ops.py | 872 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),
|
D | math_grad.py | 173 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/ |
D | ops_test.py | 253 reshaped = array_ops.reshape(value, shape) 254 self.assertAllEqual([[1], [2]], reshaped.cpu())
|
D | function_test.py | 1029 reshaped = reshape(value, shape).cpu() 1030 self.assertAllEqual(reshaped, [[1], [2]])
|
/external/tensorflow/tensorflow/cc/gradients/ |
D | nn_grad.cc | 72 auto reshaped = ExpandDims(scope, vec, -1); in BroadcastMul() local 73 return Multiply(scope, reshaped, mat); in BroadcastMul()
|
D | math_grad.cc | 959 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/ |
D | single_machine_test.cc | 164 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/ |
D | hierarchical_controller.py | 557 reshaped = array_ops.reshape(input_layer, 559 ff_output = math_ops.matmul(reshaped, w_grouping_ff)
|
/external/tensorflow/tensorflow/compiler/xla/g3doc/ |
D | tiled_layout.md | 96 t<sub>i</sub>), i.e. the array is reshaped to \
|
D | operation_semantics.md | 687 input feature dimension, and the filter would be reshaped from
|
/external/eigen/unsupported/Eigen/CXX11/src/Tensor/ |
D | README.md | 1256 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/ |
D | NEWS | 545 and two sides reshaped and concatenated, the shaping result is
|
/external/cldr/tools/java/org/unicode/cldr/util/data/transforms/ |
D | en-IPA.txt | 11456 $x{reshaped → riʃept ; # rɛʃept
|
D | internal_raw_IPA.txt | 137839 reshaped %29797 riʃˈept
|
D | internal_raw_IPA-old.txt | 164471 reshaped %20629 riʃˈept
|