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ner-dl.linux._sparse_feature_cross_op.so Maven / Gradle / Ivy

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clock_gettime() failedINFOFATALWARNINGERRORabsl::LogSeverity()RUNNING_ON_VALGRINDVALGRIND_SLOWDOWN
Generates sparse cross form a list of sparse tensors.

The op takes two lists, one of 2D `SparseTensor` and one of 2D `Tensor`, each
representing features of one feature column. It outputs a 2D `SparseTensor` with
the batchwise crosses of these features.

For example, if the inputs are

    inputs[0]: SparseTensor with shape = [2, 2]
    [0, 0]: "a"
    [1, 0]: "b"
    [1, 1]: "c"

    inputs[1]: SparseTensor with shape = [2, 1]
    [0, 0]: "d"
    [1, 0]: "e"

    inputs[2]: Tensor [["f"], ["g"]]

then the output will be

    shape = [2, 2]
    [0, 0]: "a_X_d_X_f"
    [1, 0]: "b_X_e_X_g"
    [1, 1]: "c_X_e_X_g"

if hashed_output=true then the output will be

    shape = [2, 2]
    [0, 0]: HashCombine(
                Fingerprint64("f"), HashCombine(
                    Fingerprint64("d"), Fingerprint64("a")))
    [1, 0]: HashCombine(
                Fingerprint64("g"), HashCombine(
                    Fingerprint64("e"), Fingerprint64("b")))
    [1, 1]: HashCombine(
                Fingerprint64("g"), HashCombine(
                    Fingerprint64("e"), Fingerprint64("c")))

indices: 2-D.  Indices of each input `SparseTensor`.
values: 1-D.   values of each `SparseTensor`.
shapes: 1-D.   Shapes of each `SparseTensor`.
dense: 2-D.    Columns represented by dense `Tensor`.
output_indices: 2-D.  Indices of the concatenated `SparseTensor`.
output_values: 1-D.  Non-empty values of the concatenated or hashed
  `SparseTensor`.
output_shape: 1-D.  Shape of the concatenated `SparseTensor`.
internal_type: {int64, string}dense_types: list({int64, string}) >= 0sparse_types: list({int64, string}) >= 0
Generates sparse cross form a list of sparse tensors.

The op takes two lists, one of 2D `SparseTensor` and one of 2D `Tensor`, each
representing features of one feature column. It outputs a 2D `SparseTensor` with
the batchwise crosses of these features.

For example, if the inputs are

    inputs[0]: SparseTensor with shape = [2, 2]
    [0, 0]: "a"
    [1, 0]: "b"
    [1, 1]: "c"

    inputs[1]: SparseTensor with shape = [2, 1]
    [0, 0]: "d"
    [1, 0]: "e"

    inputs[2]: Tensor [["f"], ["g"]]

then the output will be

    shape = [2, 2]
    [0, 0]: "a_X_d_X_f"
    [1, 0]: "b_X_e_X_g"
    [1, 1]: "c_X_e_X_g"

if hashed_output=true then the output will be

    shape = [2, 2]
    [0, 0]: FingerprintCat64(
                Fingerprint64("f"), FingerprintCat64(
                    Fingerprint64("d"), Fingerprint64("a")))
    [1, 0]: FingerprintCat64(
                Fingerprint64("g"), FingerprintCat64(
                    Fingerprint64("e"), Fingerprint64("b")))
    [1, 1]: FingerprintCat64(
                Fingerprint64("g"), FingerprintCat64(
                    Fingerprint64("e"), Fingerprint64("c")))

indices: 2-D.  Indices of each input `SparseTensor`.
values: 1-D.   values of each `SparseTensor`.
shapes: 1-D.   Shapes of each `SparseTensor`.
dense: 2-D.    Columns represented by dense `Tensor`.
output_indices: 2-D.  Indices of the concatenated `SparseTensor`.
output_values: 1-D.  Non-empty values of the concatenated or hashed
  `SparseTensor`.
output_shape: 1-D.  Shape of the concatenated `SparseTensor`.
tensorflow/contrib/layers/kernels/sparse_feature_cross_kernel.ccInput indices should be a matrix but received shape Expected D2 of index to be 2 got Input values should be a std::vector but received shape Expected size of values to be Input shapes should be a std::vector but received shape shape should imply a 2D tensor, but got Dense inputs should be a matrix but received shape SparseFeatureCrossOpSparseFeatureCrossOpSparseFeatureCrossOpSparseFeatureCrossOpSparseFeatureCrossOpSparseFeatureCrossOpfeature_counts_.size() == feature_start_indices_.size()external/com_google_absl/absl/strings/escaping.ccThis can't happen; base64 decoder state = %d\x cannot be followed by a non-hex digit\u must be followed by 4 hex digits: \invalid surrogate character (0xD800-DFFF): \\U must be followed by 8 hex digits: \ exceeds Unicode limit (0x10FFFF)Output pointer must not be nullptr.external/com_google_absl/absl/strings/numbers.ccexternal/com_google_absl/absl/strings/str_split.ccbasic_string::_S_construct null not valid/sys/devices/system/cpu/cpu0/tsc_freq_khzFN10tensorflow6StatusEPNS_15shape_inference16InferenceContextEEN10tensorflow4core10RefCountedEPFN10tensorflow6StatusEPNS_15shape_inference16InferenceContextEE*N10tensorflow12_GLOBAL__N_115ColumnInterfaceIxEE*N10tensorflow12_GLOBAL__N_118SparseTensorColumnIxEE*N10tensorflow12_GLOBAL__N_115ColumnInterfaceISsEE*N10tensorflow12_GLOBAL__N_118SparseTensorColumnISsEE*N10tensorflow12_GLOBAL__N_115ColumnInterfaceIN4absl11string_viewEEE*N10tensorflow12_GLOBAL__N_118SparseTensorColumnIN4absl11string_viewEEE*N10tensorflow12_GLOBAL__N_117DenseTensorColumnIxEE*N10tensorflow12_GLOBAL__N_117DenseTensorColumnISsEE*N10tensorflow12_GLOBAL__N_117DenseTensorColumnIN4absl11string_viewEEEZN10tensorflow20SparseFeatureCrossOpILb1ExLb1EE7ComputeEPNS_15OpKernelContextEEUlxxE_ZN10tensorflow20SparseFeatureCrossOpILb0ESsLb1EE7ComputeEPNS_15OpKernelContextEEUlxxE_ZN10tensorflow20SparseFeatureCrossOpILb0EN4absl11string_viewELb1EE7ComputeEPNS_15OpKernelContextEEUlxxE_ZN10tensorflow20SparseFeatureCrossOpILb1ExLb0EE7ComputeEPNS_15OpKernelContextEEUlxxE_ZN10tensorflow20SparseFeatureCrossOpILb0ESsLb0EE7ComputeEPNS_15OpKernelContextEEUlxxE_ZN10tensorflow20SparseFeatureCrossOpILb0EN4absl11string_viewELb0EE7ComputeEPNS_15OpKernelContextEEUlxxE_N10tensorflow14kernel_factory15OpKernelFactoryEN10tensorflow20SparseFeatureCrossOpILb0EN4absl11string_viewELb0EEEN10tensorflow20SparseFeatureCrossOpILb0ESsLb0EEEN10tensorflow20SparseFeatureCrossOpILb1ExLb0EEEN10tensorflow20SparseFeatureCrossOpILb0EN4absl11string_viewELb1EEEN10tensorflow20SparseFeatureCrossOpILb0ESsLb1EEEN10tensorflow20SparseFeatureCrossOpILb1ExLb1EEEr??r??r??r??"??"??"??"??H!7?H!7?H!7?H!7s?o???O@?/;j?

	
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