| /external/tensorflow/tensorflow/core/ops/compat/ops_history_v1/ |
| D | IFFT.pbtxt | 2 name: "IFFT"
13 name: "IFFT"
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| /external/tensorflow/tensorflow/core/ops/compat/ops_history_v2/ |
| D | IFFT.pbtxt | 2 name: "IFFT"
13 name: "IFFT"
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| /external/tensorflow/tensorflow/compiler/xla/service/cpu/ |
| D | runtime_fft_test.cc | 25 EXPECT_EQ(::xla::FftType::IFFT, in TEST()
26 static_cast<::tensorflow::int32>(::tensorflow::xla::FftType::IFFT)); in TEST()
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| D | runtime_fft_impl.h | 32 IFFT = 1, // Inverse FFT; complex in, complex out. enumerator
198 case FftType::IFFT: in EigenFftWithRank()
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| /external/tensorflow/tensorflow/core/api_def/java_api/ |
| D | api_def_IFFT.pbtxt | 2 graph_op_name: "IFFT"
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| /external/tensorflow/tensorflow/core/api_def/python_api/ |
| D | api_def_IFFT.pbtxt | 2 graph_op_name: "IFFT"
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| /external/tensorflow/tensorflow/compiler/mlir/xla/ |
| D | attribute_exporter.cc | 144 case mlir::mhlo::FftType::IFFT: in ConvertFftType()
145 return xla::FftType::IFFT; in ConvertFftType()
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| D | attribute_importer.cc | 131 case FftType::IFFT: in ConvertFftType()
132 return mlir::mhlo::FftType::IFFT; in ConvertFftType()
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_IFFT.pbtxt | 2 graph_op_name: "IFFT"
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| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| D | fft_ops.cc | 126 : GenericFftOp(ctx, /*fft_type=*/FftType::IFFT, /*fft_rank=*/FFTRank) {} in IFFTOp()
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| /external/tensorflow/tensorflow/compiler/mlir/hlo/include/mlir-hlo/Dialect/mhlo/IR/ |
| D | hlo_ops_base_enums.td | 40 def HLO_FFT_TYPE_IFFT : StrEnumAttrCase<"IFFT">;
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| /external/tensorflow/tensorflow/compiler/xla/service/gpu/ |
| D | fft_thunk.cc | 68 case FftType::IFFT: in FftTypeToSeType()
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| /external/eigen/unsupported/Eigen/ |
| D | FFT | 51 * IFFT(FFT(x)) = Kx; this is done to avoid a vector-by-value multiply.
55 * How Eigen/FFT differs: invertible scaling is performed so IFFT( FFT(x) ) = x.
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| /external/tensorflow/tensorflow/compiler/xla/python/ |
| D | xla_compiler.cc | 582 .value("IFFT", FftType::IFFT) in BuildXlaCompilerSubmodule()
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| D | xla_client_test.py | 1406 ops.Fft(ops.Constant(c, a), xla_client.FftType.IFFT, shape[-3:])
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| /external/tensorflow/tensorflow/compiler/mlir/xla/tests/hlo_to_lhlo_with_xla/ |
| D | hlo_text_to_lhlo_no_opt.hlotxt | 661 // CHECK-SAME: fft_type = "IFFT"
664 ROOT %fft = c64[5,8,32] fft(c64[5,8,32] %input), fft_type=IFFT, fft_length={8,32}
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| /external/tensorflow/tensorflow/lite/g3doc/guide/ |
| D | op_select_allowlist.md | 208 * `raw_ops.IFFT`
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| /external/tensorflow/tensorflow/compiler/tf2xla/g3doc/ |
| D | gpu_supported_ops.md | 99 `IFFT` |
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| D | cpu_supported_ops.md | 99 `IFFT` |
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| /external/tensorflow/tensorflow/compiler/xla/service/ |
| D | hlo.proto | 147 // FFT type (FFT, IFFT, etc).
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| D | shape_inference_test.cc | 847 FftType type = FftType::IFFT; in TEST_F()
857 FftType type = FftType::IFFT; in TEST_F()
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| D | hlo_parser_test.cc | 819 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} in CreateTestCases()
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| D | hlo_evaluator.cc | 1003 const bool inverse = fft_type == FftType::IFFT || fft_type == FftType::IRFFT; in Sweep()
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| D | shape_inference.cc | 1889 case IFFT: in InferFftShape()
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| /external/tensorflow/tensorflow/compiler/xla/ |
| D | xla_data.proto | 559 IFFT = 1; // Inverse FFT; complex in, complex out. enumerator
|