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Orion
Orion
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    • Compatibility
    • Numbers
      • Fixed Point
        • fp.new
        • fp.new_unscaled
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        • fp.abs
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        • fp.exp
        • fp.exp2
        • fp.log
        • fp.log2
        • fp.log10
        • fp.pow
        • fp.round
        • fp.sqrt
        • fp.sin
        • fp.atan
        • fp.sign
      • Complex Number
        • complex.acos
        • complex.acosh
        • complex.arg
        • complex.asin
        • complex.asinh
        • complex.atan
        • complex.atanh
        • complex.conjugate
        • complex.cos
        • complex.cosh
        • complex.exp
        • complex.exp2
        • complex.from_polar
        • complex.img
        • complex.ln
        • complex.log2
        • complex.log10
        • complex.mag
        • complex.new
        • complex.one
        • complex.pow
        • complex.real
        • complex.reciprocal
        • complex.sin
        • complex.sinh
        • complex.sqrt
        • complex.tan
        • complex.tanh
        • complex.to_polar
        • complex.zero
    • Operators
      • Tensor
        • tensor.new
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        • tensor.min_in_tensor
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        • tensor.max
        • tensor.stride
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        • tensor.reshape
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        • tensor.reduce_sum
        • tensor.argmax
        • tensor.argmin
        • tensor.matmul
        • tensor.exp
        • tensor.log
        • tensor.equal
        • tensor.greater
        • tensor.greater_equal
        • tensor.less
        • tensor.less_equal
        • tensor.abs
        • tensor.neg
        • tensor.ceil
        • tensor.cumsum
        • tensor.sin
        • tensor.cos
        • tensor.asin
        • tensor.flatten
        • tensor.sinh
        • tensor.asinh
        • tensor.cosh
        • tensor.acosh
        • tensor.tanh
        • tensor.atan
        • tensor.acos
        • tensor.sqrt
        • tensor.or
        • tensor.xor
        • tensor.onehot
        • tensor.slice
        • tensor.concat
        • tensor.gather
        • tensor.quantize_linear
        • tensor.dequantize_linear
        • tensor.qlinear_add
        • tensor.qlinear_mul
        • tensor.qlinear_matmul
        • tensor.qlinear_concat
        • tensor.qlinear_leakyrelu
        • tensor.qlinear_conv
        • tensor.nonzero
        • tensor.squeeze
        • tensor.unsqueeze
        • tensor.sign
        • tensor.clip
        • tensor.identity
        • tensor.and
        • tensor.where
        • tensor.bitwise_and
        • tensor.bitwise_xor
        • tensor.bitwise_or
        • tensor.resize
        • tensor.round
        • tensor.scatter
        • tensor.array_feature_extractor
        • tensor.binarizer
        • tensor.reduce_sum_square
        • tensor.reduce_l2
        • tensor.reduce_l1
        • tensor.reduce_prod
        • tensor.gather_elements
        • tensor.gather_nd
        • tensor.reduce_min
        • tensor.shrink
        • tensor.reduce_mean
        • tensor.pow
        • tensor.is_nan
        • tensor.is_inf
        • tensor.not
        • tensor.erf
        • tensor.reduce_log_sum
        • tensor.reduce_log_sum_exp
        • tensor.unique
        • tensor.compress
        • tensor.layer_normalization
        • tensor.scatter_nd
        • tensor.dynamic_quantize_linear
        • tensor.optional
        • tensor.reverse_sequence
        • tensor.split_to_sequence
        • tensor.range
        • tensor.hann_window
        • tensor.hamming_window
        • tensor.blackman_window
        • tensor.random_uniform_like
        • tensor.label_encoder
      • Neural Network
        • nn.relu
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        • nn.softmax
        • nn.softmax_zero
        • nn.logsoftmax
        • nn.softsign
        • nn.softplus
        • nn.linear
        • nn.hard_sigmoid
        • nn.thresholded_relu
        • nn.gemm
        • nn.grid_sample
        • nn.col2im
        • nn.conv_transpose
        • nn.conv
        • nn.conv_integer
        • nn.depth_to_space
        • nn.space_to_depth
        • nn.max_pool
        • nn.deform_conv
      • Machine Learning
        • Tree Ensemble Classifier
          • tree_ensemble_classifier.predict
        • Tree Ensemble Regressor
          • tree_ensemble_regressor.predict
        • Linear Classifier
          • linear_classifier.predict
        • Linear Regressor
          • linear_regressor.predict
        • SVM Regressor
          • svm_regressor.predict
        • SVM Classifier
          • svm_classifier.predict
        • Sequence
          • sequence.sequence_construct
          • sequence.sequence_empty
          • sequence.sequence_length
          • sequence.sequence_at
          • sequence.sequence_empty
          • sequence.sequence_erase
          • sequence.sequence_insert
          • sequence.concat_from_sequence
        • Normalizer
          • normalize.predict
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    • Tutorials
      • MNIST Classification with Orion
      • Implement new operators in Orion
      • Verifiable Linear Regression Model
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      • Verifiable Principal Components Analysis
      • Provable MLR: Forecasting AAVE's Lifetime Repayments
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  1. Framework
  2. Operators
  3. Tensor

tensor.acos

#tensor.acos

    fn acos(self: @Tensor<T>) -> Tensor<T>;

Computes the arccosine (inverse of cosine) of all elements of the input tensor.

Args

  • self(@Tensor<T>) - The input tensor.

Returns

A new Tensor<T> of the same shape as the input tensor with the arccosine value of all elements in the input tensor.

Type Constraints

Constrain input and output types to fixed point tensors.

Example

use core::array::{ArrayTrait, SpanTrait};

use orion::operators::tensor::{TensorTrait, Tensor, FP8x23Tensor};
use orion::numbers::{FP8x23, FixedTrait};

fn acos_example() -> Tensor<FP8x23> {
    let tensor = TensorTrait::<FP8x23>::new(
        shape: array![2].span(),
        data: array![FixedTrait::new_unscaled(0, false), FixedTrait::new_unscaled(1, false),]
            .span(),
    );

    return tensor.acos();
}
>>> [13176794, 0]
// The fixed point representation of
// [1.5707..., 0]
Previoustensor.atanNexttensor.sqrt

Last updated 1 year ago

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