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  /external/tensorflow/tensorflow/compiler/xla/service/cpu/
runtime_fft.cc 29 const void* run_options_ptr, void* out, void* operand, int32 fft_type,
35 operand, fft_type, fft_rank, input_batch,
runtime_fft.h 25 void* operand, tensorflow::int32 fft_type, tensorflow::int32 fft_rank,
runtime_fft_impl.h 180 int32 fft_type, int64 input_batch, int64 fft_length0,
182 CHECK(::xla::FftType_IsValid(fft_type)) << fft_type;
183 switch (fft_type) {
207 LOG(FATAL) << "Unsupported FFT type: " << fft_type;
215 int32 fft_type, int32 fft_rank, int64 input_batch,
220 device, out, operand, fft_type, input_batch, fft_length0, 0, 0);
223 internal::EigenFftWithRank<2, EigenDevice>(device, out, operand, fft_type,
228 internal::EigenFftWithRank<3, EigenDevice>(device, out, operand, fft_type,
ir_emitter.cc     [all...]
  /external/tensorflow/tensorflow/compiler/tf2xla/kernels/
fft_ops.cc 41 explicit GenericFftOp(OpKernelConstruction* ctx, FftType fft_type,
43 : XlaOpKernel(ctx), fft_type_(fft_type), fft_rank_(fft_rank) {}
83 : GenericFftOp(ctx, /*fft_type=*/FftType::FFT, /*fft_rank=*/FFTRank) {}
93 : GenericFftOp(ctx, /*fft_type=*/FftType::IFFT, /*fft_rank=*/FFTRank) {}
103 : GenericFftOp(ctx, /*fft_type=*/FftType::RFFT, /*fft_rank=*/FFTRank) {}
113 : GenericFftOp(ctx, /*fft_type=*/FftType::IRFFT, /*fft_rank=*/FFTRank) {}
  /external/tensorflow/tensorflow/compiler/xla/service/gpu/
fft_thunk.h 66 FftThunk(FftType fft_type, tensorflow::gtl::ArraySlice<int64> fft_length,
fft_thunk.cc 111 FftThunk::FftThunk(FftType fft_type,
118 fft_type_(FftTypeToSeType(fft_type)),
ir_emitter_unnested.cc     [all...]
  /external/tensorflow/tensorflow/compiler/xla/service/
hlo.proto 128 xla.FftType fft_type = 31;
shape_inference.h 119 const Shape& in, FftType fft_type,
hlo_instruction.h 262 // Creates an FFT op, of the type indicated by fft_type.
264 const Shape& shape, HloInstruction* operand, FftType fft_type,
1092 FftType fft_type() const { function in class:xla::HloInstruction
    [all...]
shape_inference.cc     [all...]
hlo_instruction.cc 148 instruction->fft_type_ = proto.fft_type();
342 const Shape& shape, HloInstruction* operand, FftType fft_type,
346 instruction->fft_type_ = fft_type;
    [all...]
hlo_verifier.cc 87 ShapeInference::InferFftShape(fft->operand(0)->shape(), fft->fft_type(),
    [all...]
user_computation.cc     [all...]
  /external/tensorflow/tensorflow/compiler/xla/tools/parser/
hlo_parser_test.cc 591 ROOT %fft = c64[8,32]{1,0} fft(c64[8,32]{1,0} %input), fft_type=FFT, fft_length={32}
603 ROOT %fft = c64[5,8,32]{2,1,0} fft(c64[5,8,32]{2,1,0} %input), fft_type=IFFT, fft_length={8,32}
615 ROOT %fft = c64[5,64,17]{2,1,0} fft(f32[5,64,32]{2,1,0} %input), fft_type=RFFT, fft_length={64,32}
627 ROOT %fft = f32[5,64,128,64]{3,2,1,0} fft(c64[5,64,128,33]{3,2,1,0} %input), fft_type=IRFFT, fft_length={64,128,64}
    [all...]
hlo_parser.cc 702 optional<FftType> fft_type; local
704 attrs["fft_type"] = {/*required=*/true, AttrTy::kFftType, &fft_type};
712 shape, operands[0], *fft_type, *fft_length));
    [all...]
  /external/tensorflow/tensorflow/compiler/xla/
xla_data.proto 514 FftType fft_type = 1;
  /external/tensorflow/tensorflow/compiler/xla/client/
computation_builder.cc 734 const ComputationDataHandle& operand, const FftType fft_type,
739 request->set_fft_type(fft_type);
    [all...]
computation_builder.h 419 FftType fft_type,
    [all...]

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