| /external/tensorflow/tensorflow/python/ops/ |
| D | script_ops.py | 53 def __init__(self, func, Tout, is_grad_func): argument
64 self._out_dtypes = Tout
238 Tout, argument
246 if isinstance(Tout, (list, tuple)):
249 Tout = [Tout]
252 func = EagerFunc(func, Tout, is_grad_func)
278 input=inp, token=token, Tout=Tout, name=name)
282 input=inp, token=token, Tout=Tout, name=name)
285 input=inp, token=token, Tout=Tout, name=name)
304 Tout=[tensor.dtype for tensor in op.inputs],
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | argmax_op.cc | 43 template <typename Device, typename T, typename Tout, typename ArgFunctor>
87 output->tensor<Tout, NDIM - 1>()); \ in Compute()
109 template <typename Device, typename T, typename Tout>
111 : public ArgOp<Device, T, Tout, functor::ArgMax<Device, T, Tout> > {
114 : ArgOp<Device, T, Tout, functor::ArgMax<Device, T, Tout> >(context) {} in ArgMaxOp()
117 template <typename Device, typename T, typename Tout>
119 : public ArgOp<Device, T, Tout, functor::ArgMin<Device, T, Tout> > {
122 : ArgOp<Device, T, Tout, functor::ArgMin<Device, T, Tout> >(context) {} in ArgMinOp()
158 #define DECLARE_GPU_SPEC(T, Tout, Dims) \ argument
160 void ArgMax<GPUDevice, T, Tout>::Reduce##Dims( \
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| D | argmax_op.h | 28 template <typename Device, typename T, typename Tout>
33 const int32 dimension, typename TTypes<Tout, Dims - 1>::Tensor output) { \
34 output.device(d) = input.argmax(dimension).template cast<Tout>(); \
46 template <typename Device, typename T, typename Tout>
51 const int32 dimension, typename TTypes<Tout, Dims - 1>::Tensor output) { \
52 output.device(d) = input.argmin(dimension).template cast<Tout>(); \
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| D | histogram_op.cc | 34 template <typename T, typename Tout>
35 struct HistogramFixedWidthFunctor<CPUDevice, T, Tout> {
39 int32 nbins, typename TTypes<Tout, 1>::Tensor& out) { in Compute()
66 out(index_to_bin(i)) += Tout(1); in Compute()
74 template <typename Device, typename T, typename Tout>
109 auto out = out_tensor->flat<Tout>(); in Compute()
112 ctx, functor::HistogramFixedWidthFunctor<Device, T, Tout>::Compute( in Compute()
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| D | cwise_ops_common.h | 85 typedef typename Functor::out_type Tout; // Output scalar data type. typedef
88 : BinaryOpShared(ctx, DataTypeToEnum<Tout>::v(), in BinaryOp()
107 auto out_flat = out->flat<Tout>(); in Compute()
125 eigen_device, out->shaped<Tout, 2>(bcast->result_shape()), in Compute()
132 eigen_device, out->shaped<Tout, 3>(bcast->result_shape()), in Compute()
139 eigen_device, out->shaped<Tout, 4>(bcast->result_shape()), in Compute()
146 eigen_device, out->shaped<Tout, 5>(bcast->result_shape()), in Compute()
200 typedef typename Functor::out_type Tout; // Output scalar data type. typedef
212 if (std::is_same<Tin, Tout>::value) { in Compute()
218 auto out_flat = out->flat<Tout>(); in Compute()
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| D | histogram_op_gpu.cu.cc | 38 template <typename T, typename Tout>
39 struct HistogramFixedWidthFunctor<GPUDevice, T, Tout> {
43 int32 nbins, typename TTypes<Tout, 1>::Tensor& out) { in Compute()
65 Tout* d_histogram = out.data(); in Compute()
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| D | gather_nd_op_cpu_impl.h | 47 typename TTypes<T>::Matrix Tout, std::atomic<Index>* error_loc) in GatherNdSliceGenerator() argument
51 Tout_(Tout), in GatherNdSliceGenerator()
102 typename TTypes<T>::Matrix Tout) {
115 slice_size, Tindices, Tparams, Tout, &error_loc);
148 typename TTypes<T>::Matrix Tout);
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| D | gather_nd_op_gpu.cu.cc | 73 typename TTypes<T>::Matrix Tout) { in operator ()()
75 const int64 out_size = Tout.size(); in operator ()()
76 int64 s_size = Tout.dimension(1); in operator ()()
92 Tout.data(), batch_strides, batch_indices, in operator ()()
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| D | histogram_op.h | 27 template <typename Device, typename T, typename Tout>
32 int32 nbins, typename TTypes<Tout, 1>::Tensor& out);
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| D | cast_op.h | 139 template <typename Device, typename Tout, typename Tin>
140 void Cast(const Device& d, typename TTypes<Tout>::Flat o, in Cast()
142 o.device(d) = i.template cast<Tout>(); in Cast()
145 template <typename Device, typename Tout, typename Tin>
147 void operator()(const Device& d, typename TTypes<Tout>::Flat o,
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| D | transpose_op.cc | 61 auto Tout = output->vec<T>(); in Compute() local
62 std::fill_n(Tout.data(), N, -1); in Compute()
67 OP_REQUIRES(context, Tout(d) == -1, in Compute()
69 Tout(d) = i; in Compute()
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| D | dynamic_partition_op.cc | 44 OpOutputList* Tout) { in ValidateAndAllocateOutputs() argument
69 OP_REQUIRES_OK(c, c->output_list("outputs", Tout)); in ValidateAndAllocateOutputs()
77 OP_REQUIRES_OK(c, Tout->allocate(p, shape, &out)); in ValidateAndAllocateOutputs()
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| D | unique_op.cc | 125 auto Tout = output->flat<T>(); in Compute() local
128 Tout(it.second) = it.first; in Compute()
176 auto Tout = output->shaped<T, 3>(new_sizes); in Compute() local
179 Tout.chip(it.second, 1) = Tin.chip(it.first, 1); in Compute()
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| D | listdiff_op.cc | 72 auto Tout = out->vec<T>(); in Compute() local
86 Tout(p) = Tx(i); in Compute()
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| D | cwise_ops_gpu_common.cu.h | 61 typedef typename Functor::out_type Tout;
64 typedef typename Eigen::internal::scalar_left<Tout, Tin, Binary> Unary;
71 typedef typename Functor::out_type Tout;
74 typedef typename Eigen::internal::scalar_right<Tout, Tin, Binary> Unary;
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| D | cwise_ops.h | 204 template <typename Tout, typename Tin, typename Binary>
206 typedef Tout result_type;
215 EIGEN_DEVICE_FUNC inline Tout operator()(const Tin& right) const {
226 template <typename Tout, typename Tin, typename Binary>
227 struct functor_traits<scalar_left<Tout, Tin, Binary>> {
234 template <typename Tout, typename Tin, typename Binary>
236 typedef Tout result_type;
245 EIGEN_DEVICE_FUNC inline Tout operator()(const Tin& left) const {
256 template <typename Tout, typename Tin, typename Binary>
257 struct functor_traits<scalar_right<Tout, Tin, Binary>> {
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| D | gather_functor.cc | 33 typename TTypes<T, 3>::Tensor Tout); \
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| D | gather_nd_op.h | 41 typename TTypes<T>::Matrix Tout);
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| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | py_func_test.py | 485 output = script_ops.eager_py_func(matmul, inp=[a, x], Tout=dtypes.int32)
500 output = script_ops.eager_py_func(matmul, inp=[a, x], Tout=dtypes.float32)
509 output = script_ops.eager_py_func(matmul, inp=[a, x], Tout=dtypes.float32)
519 lambda a, x: [matmul(a, x)], inp=[a, x], Tout=[dtypes.float32])
529 output = script_ops.eager_py_func(no_return_value, inp=[], Tout=[])
543 return script_ops.eager_py_func(matmul, inp=[a, x], Tout=dtypes.float32)
578 return_variable, inp=[], Tout=dtypes.float32)
590 y = script_ops.eager_py_func(f, inp=[x], Tout=dtypes.float32)
601 y = script_ops.eager_py_func(f, inp=[x], Tout=dtypes.float32)
614 Tout=[dtypes.float32, dtypes.float32])
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_StatefulPartitionedCall.pbtxt | 13 attr { name: "Tout" description: "A list of output types." }
19 and 'Tout'. The function body of f will be placed and partitioned across
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| D | api_def_PartitionedCall.pbtxt | 12 attr { name: "Tout" description: "A list of output types." }
18 and 'Tout'. The function body of f will be placed and partitioned across
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| /external/tensorflow/tensorflow/python/data/experimental/ops/ |
| D | prefetching_ops.py | 127 Tout=[dtypes.string],
160 … Tout=self._input_dataset._element_structure._flat_types, # pylint: disable=protected-access
190 Tout=[dtypes.int64],
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| /external/tensorflow/tensorflow/python/data/ops/ |
| D | multi_device_iterator_ops.py | 58 Tout=[dtypes.string],
93 Tout=self._structure._flat_types, # pylint: disable=protected-access
121 Tout=[dtypes.int64],
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| /external/tensorflow/tensorflow/compiler/tf2xla/g3doc/ |
| D | cpu_supported_ops.md | 14 `Angle` | `Tout={double,float}`<br>`T={complex64}`
44 `Complex` | `Tout={complex64}`<br>`T={double,float}`
45 `ComplexAbs` | `Tout={double,float}`<br>`T={complex64}`
107 `Imag` | `Tout={double,float}`<br>`T={complex64}`
169 `RandomUniformInt` | `T={int32,int64}`<br>`Tout={int32,int64}`
173 `Real` | `Tout={double,float}`<br>`T={complex64}`
244 `SymbolicGradient` | `Tout={bool,complex64,double,float,int32,int64,uint32,uint6…
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| /external/tensorflow/tensorflow/core/grappler/optimizers/data/ |
| D | function_utils_test.cc | 191 key: "Tout"
379 key: "Tout"
444 key: "Tout"
|