/external/tensorflow/tensorflow/compiler/xla/service/cpu/ |
D | runtime_fft_test.cc | 29 EXPECT_EQ(::xla::FftType::IRFFT, static_cast<::tensorflow::int32>( in TEST() 30 ::tensorflow::xla::FftType::IRFFT)); in TEST()
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D | runtime_fft_impl.h | 34 IRFFT = 3, // Inverse real FFT; fft_length / 2 + 1 complex in, enumerator 223 case FftType::IRFFT: in EigenFftWithRank()
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/external/tensorflow/tensorflow/core/ops/compat/ops_history_v1/ |
D | IRFFT.pbtxt | 2 name: "IRFFT" 17 name: "IRFFT"
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/external/tensorflow/tensorflow/core/ops/compat/ops_history_v2/ |
D | IRFFT.pbtxt | 2 name: "IRFFT" 17 name: "IRFFT"
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/external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
D | fft_ops.cc | 54 if (fft_type_ == FftType::RFFT || fft_type_ == FftType::IRFFT) { in Compile() 65 if (fft_type_ == FftType::IRFFT) { in Compile() 161 : GenericFftOp(ctx, /*fft_type=*/FftType::IRFFT, /*fft_rank=*/FFTRank) {} in IRFFTOp()
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/external/tensorflow/tensorflow/core/api_def/base_api/ |
D | api_def_IRFFT.pbtxt | 2 graph_op_name: "IRFFT" 39 Along the axis `IRFFT` is computed on, if `fft_length / 2 + 1` is smaller
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/external/tensorflow/tensorflow/core/api_def/python_api/ |
D | api_def_IRFFT.pbtxt | 2 graph_op_name: "IRFFT"
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/external/tensorflow/tensorflow/core/api_def/java_api/ |
D | api_def_IRFFT.pbtxt | 2 graph_op_name: "IRFFT"
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/external/tensorflow/tensorflow/compiler/mlir/xla/ |
D | attribute_exporter.cc | 148 case mlir::mhlo::FftType::IRFFT: in ConvertFftType() 149 return xla::FftType::IRFFT; in ConvertFftType()
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D | attribute_importer.cc | 135 case FftType::IRFFT: in ConvertFftType() 136 return mlir::mhlo::FftType::IRFFT; in ConvertFftType()
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/external/tensorflow/tensorflow/compiler/mlir/hlo/include/mlir-hlo/Dialect/mhlo/IR/ |
D | hlo_ops_base_enums.td | 42 def HLO_FFT_TYPE_IRFFT : StrEnumAttrCase<"IRFFT">;
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/external/tensorflow/tensorflow/compiler/xla/service/gpu/ |
D | fft_thunk.cc | 71 case FftType::IRFFT: in FftTypeToSeType()
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/external/tensorflow/tensorflow/compiler/xla/service/ |
D | hlo_evaluator.cc | 1003 const bool inverse = fft_type == FftType::IFFT || fft_type == FftType::IRFFT; in Sweep() 1004 const bool input_is_truncated = fft_type == FftType::IRFFT; in Sweep() 1139 const bool input_is_truncated = fft_type == FftType::IRFFT; in CopyDataFromInput() 1247 const bool output_is_float = fft_type == FftType::IRFFT; in CopyDataToOutput() 1295 if (fft_type == FftType::IRFFT && output_elt_type != PrimitiveType::F32) { in CheckParameters() 1299 if (fft_type != FftType::IRFFT && output_elt_type != PrimitiveType::C64) { in CheckParameters()
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D | shape_inference_test.cc | 904 FftType type = FftType::IRFFT; in TEST_F() 915 FftType type = FftType::IRFFT; in TEST_F() 934 FftType type = FftType::IRFFT; in TEST_F()
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D | hlo_parser_test.cc | 843 …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_l… in CreateTestCases()
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D | shape_inference.cc | 1923 case IRFFT: { in InferFftShape()
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/external/tensorflow/tensorflow/compiler/xla/python/ |
D | xla_compiler.cc | 584 .value("IRFFT", FftType::IRFFT); in BuildXlaCompilerSubmodule()
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D | xla_client_test.py | 1417 ops.Fft(ops.Constant(c, a), xla_client.FftType.IRFFT, [3, 4, 8])
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/external/tensorflow/tensorflow/lite/g3doc/guide/ |
D | op_select_allowlist.md | 211 * `raw_ops.IRFFT`
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/external/tensorflow/tensorflow/compiler/tf2xla/g3doc/ |
D | gpu_supported_ops.md | 102 `IRFFT` |
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D | cpu_supported_ops.md | 102 `IRFFT` |
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/external/tensorflow/tensorflow/compiler/xla/ |
D | xla_data.proto | 561 IRFFT = 3; // Inverse real FFT; fft_length / 2 + 1 complex in, enumerator
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/external/tensorflow/tensorflow/compiler/xla/g3doc/ |
D | operation_semantics.md | 1386 : : : IRFFT to right-size the : 1401 | `IRFFT` | Inverse real-to-complex FFT (i.e. takes complex, returns real). | 1412 (effectively) performed first (RFFT; last for IRFFT), which is why the innermost
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/external/tensorflow/tensorflow/compiler/tests/ |
D | randomized_tests.cc | 1557 TEST_F(OpTest, IRFFT) { in TEST_F() argument
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/external/tensorflow/tensorflow/compiler/mlir/xla/tests/ |
D | legalize-tf.mlir | 1899 …// CHECK: "mhlo.fft"(%[[SLICED]]) {fft_length = dense<5> : tensor<1xi64>, fft_type = "IRFFT"} : (t… 1900 %0 = "tf.IRFFT"(%arg0, %fftlength) : (tensor<8xcomplex<f32>>, tensor<1xi32>) -> tensor<5xf32>
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