| /external/tensorflow/tensorflow/core/kernels/ |
| reduction_ops_test.cc | 27 static Graph* ToScalar(const string& reduce, int num_x, int num_y) {
29 Tensor data(DataTypeToEnum<T>::value, TensorShape({num_x, num_y}));
39 static Graph* ColReduce(const string& reduce, int num_x, int num_y) {
41 Tensor data(DT_FLOAT, TensorShape({num_x, num_y}));
50 static Graph* RowReduce(const string& reduce, int num_x, int num_y) {
52 Tensor data(DT_FLOAT, TensorShape({num_x, num_y}));
61 static Graph* ThreeDYReduce(const string& reduce, int num_y, int num_z) {
63 Tensor data(DT_FLOAT, TensorShape({4, num_y, num_z}));
72 static Graph* ThreeDXZReduce(const string& reduce, int num_y, int num_z) {
74 Tensor data(DT_FLOAT, TensorShape({4, num_y, num_z}))
89 testing::ItemsProcessed(static_cast<int64>(iters) * num_x * num_y); local
97 testing::ItemsProcessed(static_cast<int64>(iters) * num_x * num_y); local
105 testing::ItemsProcessed(static_cast<int64>(iters) * num_x * num_y); local
113 testing::ItemsProcessed(static_cast<int64>(iters) * num_x * num_y); local
121 testing::ItemsProcessed(static_cast<int64>(iters) * num_x * num_y); local
[all...] |
| scan_ops_test.cc | 36 static Graph* ColCumsum(int num_x, int num_y, bool reverse = false) {
38 Tensor data(DT_FLOAT, TensorShape({num_x, num_y}));
47 static Graph* RowCumsum(int num_x, int num_y, bool reverse = false) {
49 Tensor data(DT_FLOAT, TensorShape({num_x, num_y}));
58 static Graph* ThreeDYCumsum(int num_y, int num_z, bool reverse = false) {
60 Tensor data(DT_FLOAT, TensorShape({32, num_y, num_z}));
77 static void DoRowCumsum(int iters, const string& device, int num_x, int num_y,
79 testing::ItemsProcessed(static_cast<int64>(iters) * num_x * num_y); local
80 testing::BytesProcessed(static_cast<int64>(iters) * num_x * num_y *
82 test::Benchmark(device, RowCumsum(num_x, num_y, reverse)).Run(iters)
87 testing::ItemsProcessed(static_cast<int64>(iters) * num_x * num_y); local
95 testing::ItemsProcessed(static_cast<int64>(iters) * num_x * num_y); local
[all...] |
| /external/tensorflow/tensorflow/stream_executor/ |
| fft.h | 99 uint64 num_y, Type type,
104 uint64 num_y, uint64 num_z,
114 Stream *stream, uint64 num_x, uint64 num_y, Type type, bool in_place_fft,
119 Stream *stream, uint64 num_x, uint64 num_y, uint64 num_z, Type type,
218 uint64 num_y, fft::Type type, \
221 Stream *stream, uint64 num_x, uint64 num_y, uint64 num_z, \
227 Stream *stream, uint64 num_x, uint64 num_y, fft::Type type, \
230 Stream *stream, uint64 num_x, uint64 num_y, uint64 num_z, \
|
| /external/tensorflow/tensorflow/core/graph/ |
| gradients.cc | 103 const int num_y = n->num_outputs(); local
104 CHECK_EQ(num_y, grads.size());
110 // The gradient node should have num_x + num_y inputs.
125 CHECK_EQ(ndef.input_size(), num_x + num_y);
282 const int num_y = y_grad_node_outputs_.size(); local
283 for (int i = 0; i < num_y; ++i) {
344 // "n" has num_x inputs and num_y outputs.
346 const int num_y = n->num_outputs(); local
352 CHECK_EQ(1, num_y);
358 dy.resize(num_y, {nullptr, 0})
[all...] |
| /external/tensorflow/tensorflow/stream_executor/cuda/ |
| cuda_fft.cc | 325 uint64 num_y, fft::Type type,
328 uint64 elem_count[2] = {num_x, num_y};
332 LOG(ERROR) << "Plan Parameters: num_x: " << num_x << " num_y: " << num_y; local
340 Stream *stream, uint64 num_x, uint64 num_y, fft::Type type,
343 uint64 elem_count[2] = {num_x, num_y};
347 LOG(ERROR) << "Plan Parameters: num_x: " << num_x << " num_y: " << num_y; local
356 uint64 num_y, uint64 num_z,
360 uint64 elem_count[3] = {num_x, num_y, num_z}
[all...] |
| /external/tensorflow/tensorflow/stream_executor/rocm/ |
| rocm_fft.cc | 404 uint64 num_y, fft::Type type,
407 uint64 elem_count[2] = {num_x, num_y};
418 Stream *stream, uint64 num_x, uint64 num_y, fft::Type type,
421 uint64 elem_count[2] = {num_x, num_y};
433 uint64 num_y, uint64 num_z,
437 uint64 elem_count[3] = {num_x, num_y, num_z};
448 Stream *stream, uint64 num_x, uint64 num_y, uint64 num_z, fft::Type type,
451 uint64 elem_count[3] = {num_x, num_y, num_z};
|
| /external/tensorflow/tensorflow/cc/framework/ |
| gradients.cc | 449 const int num_y = n->num_outputs(); local
451 dy.resize(num_y, {nullptr, 0});
453 for (int i = 0; i < num_y; ++i) {
492 if (IsPrimitiveOpWithNoGrad(n->type_string()) || num_no_grad == num_y) {
503 if (num_no_grad > 0 && num_no_grad < num_y) {
|
| /external/tensorflow/tensorflow/core/common_runtime/ |
| function.cc | 2021 const int num_y = static_cast<int>(gbody_->ret_nodes.size()); local
[all...] |
