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  /external/tensorflow/tensorflow/core/util/
bcast_test.cc 16 #include "tensorflow/core/util/bcast.h"
26 string BCast(const tensorflow::BCast::Vec& x, const tensorflow::BCast::Vec& y,
28 tensorflow::BCast b(x, y, fewer_dims_optimization);
48 EXPECT_EQ("invalid", BCast({5, 3, 2}, {3}, use_optimization));
49 EXPECT_EQ("invalid", BCast({5, 3, 2}, {2, 2}, use_optimization));
50 EXPECT_EQ("invalid", BCast({5, 3, 2}, {10, 1, 1}, use_optimization));
52 BCast({1, 2, 1, 2, 1, 2}, {2, 4, 2, 1, 2, 1}, use_optimization));
58 EXPECT_EQ(BCast({11, 7, 5, 3, 2}, {11, 7, 5, 3, 2})
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bcast.h 28 // BCast is a helper for broadcasting binary tensor operation.
43 // BCast takes the shape of two tensors and computes a few vectors of
49 // BCast b(x.shape(), y.shape());
69 class BCast {
85 BCast(const Vec& x, const Vec& y, const bool fewer_dims_optimization = true);
86 ~BCast() {}
106 static TensorShape ToShape(const BCast::Vec& vec);
110 const BCast::Vec& vec) {
130 TF_DISALLOW_COPY_AND_ASSIGN(BCast);
bcast.cc 16 #include "tensorflow/core/util/bcast.h"
22 void BCast::Reverse(Vec* shape) { std::reverse(shape->begin(), shape->end()); }
24 BCast::BCast(const Vec& sx, const Vec& sy, const bool fewer_dims_optimization) {
158 BCast::Vec BCast::FromShape(const TensorShape& shape) {
160 BCast::Vec ret(N);
167 TensorShape BCast::ToShape(const BCast::Vec& vec) {
  /external/tensorflow/tensorflow/compiler/tf2xla/kernels/
cwise_ops.h 25 #include "tensorflow/core/util/bcast.h"
62 const gtl::ArraySlice<int64>& rhs_shape, const BCast& broadcast_helper,
74 const BCast& broadcast_helper);
cwise_ops.cc 28 #include "tensorflow/core/util/bcast.h"
42 BCast bcast(BCast::FromShape(lhs_shape), BCast::FromShape(rhs_shape));
43 if (!bcast.IsValid()) {
49 TensorShape bcast_shape = BCast::ToShape(bcast.output_shape());
80 rhs_shape.dim_sizes(), bcast, extend_dimension);
92 const BCast& broadcast_helper)
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bcast_ops.cc 25 #include "tensorflow/core/util/bcast.h"
41 gtl::InlinedVector<BCast::Vec, 2> shapes;
49 shapes.push_back(BCast::Vec(shape.begin(), shape.end()));
51 BCast bcast(shapes[0], shapes[1]);
52 OP_REQUIRES(ctx, bcast.IsValid(),
57 const int64 len = bcast.output_shape().size();
60 output.flat<int32>()(i) = static_cast<int32>(bcast.output_shape()[i]);
90 gtl::InlinedVector<BCast::Vec, 4> shapes;
99 BCast::Vec vec
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binary_ops.cc 42 const BCast& broadcast_helper, \
70 const BCast& broadcast_helper) {
94 const BCast& broadcast_helper) {
  /external/tensorflow/tensorflow/core/kernels/
betainc_op.cc 30 #include "tensorflow/core/util/bcast.h"
83 auto merged_shape_vec = BCast::FromShape(merged_shape);
84 BCast a_shaper(BCast::FromShape(a_shape), merged_shape_vec);
85 BCast b_shaper(BCast::FromShape(b_shape), merged_shape_vec);
86 BCast x_shaper(BCast::FromShape(x_shape), merged_shape_vec);
97 functor.BCast(ctx->eigen_device<Device>(), a_value, \
98 BCast::ToIndexArray<NDIM>(a_shaper.x_bcast()), b_value,
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substr_op.cc 28 #include "tensorflow/core/util/bcast.h"
95 // Create BCast helper with shape of input and pos/len
96 BCast bcast(BCast::FromShape(input_shape), BCast::FromShape(pos_shape));
97 OP_REQUIRES(context, bcast.IsValid(),
101 TensorShape output_shape = BCast::ToShape(bcast.result_shape());
108 // Reshape tensors according to BCast result
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cwise_ops_common.cc 58 bcast(BCast::FromShape(in0.shape()), BCast::FromShape(in1.shape())) {
59 if (!bcast.IsValid()) {
65 const TensorShape output_shape = BCast::ToShape(bcast.output_shape());
72 ndims = static_cast<int>(bcast.x_reshape().size());
bcast_ops.cc 20 #include "tensorflow/core/util/bcast.h"
34 gtl::InlinedVector<BCast::Vec, 4> shapes;
40 BCast::Vec vec;
46 BCast bcast(shapes[0], shapes[1]);
47 OP_REQUIRES(ctx, bcast.IsValid(),
51 Output(ctx, 0, bcast.output_shape());
57 void Output(OpKernelContext* ctx, int idx, const BCast::Vec& v) {
83 gtl::InlinedVector<BCast::Vec, 4> shapes;
89 BCast::Vec vec
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sparse_dense_binary_op_shared.cc 46 #include "tensorflow/core/util/bcast.h"
87 const auto lhs_dims = BCast::FromShape(TensorShape(shape_vec));
88 const auto rhs_dims = BCast::FromShape(dense_t->shape());
89 BCast b(lhs_dims, rhs_dims, false); // false for keeping the same num dims.
129 .broadcast(BCast::ToIndexArray<NDIM>(b.y_bcast())); \
cwise_ops_common.h 35 #include "tensorflow/core/util/bcast.h"
51 // Sets up bcast with the shape of in0 and in1, ensures that the bcast
62 BCast bcast; member in struct:tensorflow::BinaryOpShared::BinaryOpState
94 BCast* bcast = &state.bcast; variable
122 functor::BinaryFunctor<Device, Functor, 2>().BCast(
123 eigen_device, out->shaped<Tout, 2>(bcast->result_shape())
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betainc_op.h 36 void BCast(const Device& d, typename TTypes<T, NDIM>::ConstTensor a,
quantized_mul_op.cc 31 #include "tensorflow/core/util/bcast.h"
293 BCast bcast(BCast::FromShape(x.shape()), BCast::FromShape(y.shape()));
294 if (!bcast.IsValid()) {
302 0, BCast::ToShape(bcast.output_shape()), &z));
317 const int ndims = bcast.x_reshape().size();
356 LOG(INFO) << "bcast.x_reshape()=
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quantized_add_op.cc 32 #include "tensorflow/core/util/bcast.h"
466 BCast bcast(BCast::FromShape(x.shape()), BCast::FromShape(y.shape()));
467 if (!bcast.IsValid()) {
475 0, BCast::ToShape(bcast.output_shape()), &z));
499 const int ndims = bcast.x_reshape().size();
548 LOG(INFO) << "bcast.x_reshape()=
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cwise_ops_gpu_common.cu.h 78 void BCast(const GPUDevice& d,
cwise_ops_sycl_common.h 81 void BCast(const SYCLDevice& d,
cwise_ops.h 972 // TODO(zhifengc): makes BCast a template member function on NDIMS
974 void BCast(const Device& d,
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  /external/tensorflow/tensorflow/core/grappler/optimizers/
constant_folding.cc 41 #include "tensorflow/core/util/bcast.h"
406 BCast::Vec* shape, int64* min_id) {
454 BCast::Vec shape1;
458 BCast::Vec shape2;
476 // Beware: the reduction dimensions computed by the BCast class are valid iff
506 BCast bcast(shape1, shape2);
507 if (!bcast.IsValid()) {
511 BCast::Vec reduce_dims[2];
512 reduce_dims[0] = bcast.grad_x_reduce_idx()
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  /external/clang/lib/CodeGen/
CGBuiltin.cpp     [all...]

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