ction(c){var d=!1;e.valAttr("dimension")&&(d=a.formUtils.checkImageDimension(c,e.valAttr("dimension"),h)),!d&&e.valAttr("ratio")&&(d=a.formUtils.checkImageRatio(c,e.valAttr("ratio"),h)),d?(j.errorMessage=h.wrongFileDim+" "+e.valAttr("has-not-valid-dim"),b(!1)):b(!0)},function(a){throw a})}else b(!0)},errorMessage:"",errorMessageKey:""}),a(b).one("validatorsLoaded formValidationSetup",function(b,c,d){var e;e=c?c.find('input[type="file"]'):a('input[type="file"]'),a.formUtils.dialogs.removeInputSty...

// Information about the shape of a Tensor and its type.
struct TF_ShapeAndType {
  // Number of dimensions. -1 indicates unknown rank.
  int num_dims;
  // Array of dimensions. -1 indicates unknown dim.
  int64_t* dims;
  // The data type. May be 0 to denote unknown type.
  TF_DataType dtype;
};

typedef struct TF_ShapeAndType TF_ShapeAndType;

// A list of TF_ShapeAndType elements..

      shape.dims = nullptr;
      continue;
    }
    shape.dims = new int64_t[shape.num_dims];
    for (size_t j = 0; j < shape.num_dims; ++j) {
      shape.dims[j] = c.Value(c.Dim(shape_handle, j));
    }
  }
  if (output_shapes != nullptr) *output_shapes = output_shapes_result;

  // TODO(bgogul): Set output_resource_shapes_and_types.
}

    return;
  }

  // Rank is greater than 0, so fill in the values, if known, and
  // -1 for unknown values.
  for (int i = 0; i < num_dims; ++i) {
    auto dim = ic->Dim(shape, i);
    int64_t value = -1;
    if (ic->ValueKnown(dim)) {
      value = ic->Value(dim);
    }
    dims[i] = value;
  }
}

// TF_OperationDescription functions ------------------------------------------

extern "C" {

#undef EXPECT_TF_META

TEST(CAPI, TestTensorAligned) {
  int64_t dim = 7;
  size_t tensor_size_bytes = dim * TF_DataTypeSize(TF_FLOAT);
  TF_Tensor* a = TF_AllocateTensor(
      /*dtype=*/TF_FLOAT, /*dims=*/&dim, /*num_dims=*/1,
      /*len=*/tensor_size_bytes);
  float* data = reinterpret_cast<float*>(TF_TensorData(a));
  for (int i = 0; i < dim; ++i) {
    data[i] = 0;
  }
  if (TF_TensorDefaultAlignment() > 0) {

t-Samhain","An D\xf9bhlachd"],monthsShort:["Faoi","Gear","M\xe0rt","Gibl","C\xe8it","\xd2gmh","Iuch","L\xf9n","Sult","D\xe0mh","Samh","D\xf9bh"],monthsParseExact:!0,weekdays:["Did\xf2mhnaich","Diluain","Dim\xe0irt","Diciadain","Diardaoin","Dihaoine","Disathairne"],weekdaysShort:["Did","Dil","Dim","Dic","Dia","Dih","Dis"],weekdaysMin:["D\xf2","Lu","M\xe0","Ci","Ar","Ha","Sa"],longDateFormat:{LT:"HH:mm",LTS:"HH:mm:ss",L:"DD/MM/YYYY",LL:"D MMMM YYYY",LLL:"D MMMM YYYY HH:mm",LLLL:"dddd, D MMMM YYYY ...

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* `tf.argmax`: `dimension` becomes `axis` * `tf.argmin`: `dimension` becomes
`axis` * `tf.count_nonzero`: `reduction_indices` becomes `axis` *
`tf.expand_dims`: `dim` becomes `axis` * `tf.reduce_all`: `reduction_indices`
becomes `axis` * `tf.reduce_any`: `reduction_indices` becomes `axis` *
`tf.reduce_join`: `reduction_indices` becomes `axis` * `tf.reduce_logsumexp`:

pkg math, func Cbrt(float64) float64
pkg math, func Ceil(float64) float64
pkg math, func Copysign(float64, float64) float64
pkg math, func Cos(float64) float64
pkg math, func Cosh(float64) float64
pkg math, func Dim(float64, float64) float64
pkg math, func Erf(float64) float64
pkg math, func Erfc(float64) float64
pkg math, func Exp(float64) float64
pkg math, func Exp2(float64) float64
pkg math, func Expm1(float64) float64