/external/clang/test/CodeGenCXX/ |
D | cxx1z-fold-expression.cpp | 5 template<int ...N> void foldl(A<(... + N)>); 10 foldl<1, 2, 3>({}); in use() 26 template<int ...B> void foldl(Foldl<A..., B..., A..., B...>); 32 p.foldl<3, 4>({}); in use()
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/external/swiftshader/third_party/llvm-7.0/llvm/test/TableGen/ |
D | foldl.td | 39 int ret = !foldl(0, lst, a, b, !add(a, b)); 43 list<string> ret = !foldl([]<string>, lst, a, b, !listconcat(a, b)); 55 // The variables a and b are declared both in the "inner" foldl and in the 58 int ret = !foldl(0, lst, a, b, !add(a, b));
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D | defset.td | 53 int x = !foldl(0, As, a, b, !add(a, b.Num));
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D | foreach-multiclass.td | 111 foreach j = !foldl([]<int>, lst, lhs, x,
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D | dag-functional.td | 79 dag ret = !foldl((ops), nodes, lhs, rhs, !con(lhs, !dag(ops, [rhs.Val], [rhs.Name])));
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/external/tensorflow/tensorflow/contrib/labeled_tensor/ |
D | __init__.py | 111 foldl = _ops.foldl variable
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/external/tensorflow/tensorflow/python/kernel_tests/ |
D | functional_ops_test.py | 67 r = functional_ops.foldl( 72 r = functional_ops.foldl( 82 r = functional_ops.foldl(lambda a, x: a + x, elems, initializer) 92 r = functional_ops.foldl(lambda a, x: a + x[0] + x[1], (elems, -elems), 101 r = functional_ops.foldl(lambda a, x: a + x[0] * x[1], 111 r = functional_ops.foldl(simple_scoped_fn, elems) 121 r = functional_ops.foldl(simple_scoped_fn, elems, initializer=10) 184 r = functional_ops.foldl( 291 return functional_ops.foldl( 354 y = functional_ops.foldl(fn, x, initializer=initializer)
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/external/tensorflow/tensorflow/contrib/keras/api/keras/backend/ |
D | __init__.py | 64 from tensorflow.python.keras.backend import foldl
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/external/tensorflow/tensorflow/contrib/labeled_tensor/python/ops/ |
D | ops.py | 666 def foldl(fn, labeled_tensor, initial_value, name=None): function 695 foldl_op = functional_ops.foldl(
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D | ops_test.py | 504 foldl_lt = ops.foldl(core.add, self.original_lt, 511 foldl_lt = ops.foldl(core.add, tensor_lt, initializer_lt)
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/external/swiftshader/third_party/llvm-7.0/llvm/lib/Target/AMDGPU/ |
D | MIMGInstructions.td | 344 bit ret = !foldl(0, lst, lhs, y, !or(lhs, !and(!le(min, y), !le(y, max)))); 370 !foldl(MIMGAddrSizes_tmp<[], 0>, [1, 2, 3, 4, 8, 16], lhs, dw,
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/external/swiftshader/third_party/llvm-7.0/llvm/include/llvm/IR/ |
D | IntrinsicsAMDGPU.td | 436 !foldl([]<AMDGPUArg>, arglists, lhs, rhs, 440 !add(shift, !foldl(0, lhs, a, b, 555 !foldl(0, !listconcat(RetTypes, !foreach(arg, DataArgs, arg.Type)), a, b,
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/external/tensorflow/tensorflow/python/ops/ |
D | functional_ops.py | 47 def foldl(fn, elems, initializer=None, parallel_iterations=10, back_prop=True, function
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/external/swiftshader/third_party/llvm-7.0/llvm/docs/TableGen/ |
D | LangRef.rst | 101 :!cast !listconcat !size !foldl
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D | LangIntro.rst | 237 ``!foldl(start, lst, a, b, expr)``
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.keras.backend.pbtxt | 184 name: "foldl"
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D | tensorflow.pbtxt | 616 name: "foldl"
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.keras.backend.pbtxt | 184 name: "foldl"
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D | tensorflow.pbtxt | 1276 name: "foldl"
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/external/tensorflow/tensorflow/python/keras/ |
D | backend.py | 5241 def foldl(fn, elems, initializer=None, name=None): function 5254 return functional_ops.foldl(fn, elems, initializer=initializer, name=name)
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