Appropriate scaling for non-square matrices Checklist I have read the CONTRIBUTING document I have run pre-commit run --all-files to format my code / installed pre-commit prior to committing changes I have added
The standard deviation of the truncated_normal_initializer for initializing all weight matrices. 133 + layer_norm_eps (`float`, *optional*, defaults to 1e-05): 134 + The epsilon used by the layer normalization layers. 135 + 136 + Examples: 137 + 138 + ```python 139 + >>> ...
Implement the Op in C++. This implementation is called a "kernel", and there can be multiple kernels for different architectures (e.g. CPUs, GPUs) or input / output types. Create a Python wrapper. This wrapper is the public API to create the Op. A default wrapper is generated from the...
Implement the Op in C++. This implementation is called a "kernel", and there can be multiple kernels for different architectures (e.g. CPUs, GPUs) or input / output types. Create a Python wrapper. This wrapper is the public API to create the Op. A default wrapper is generated from the...
Implement the Op in C++. This implementation is called a "kernel", and there can be multiple kernels for different architectures (e.g. CPUs, GPUs) or input / output types. Create a Python wrapper. This wrapper is the public API to create the Op. A default wrapper is generated from the...
Implement the Op in C++. This implementation is called a "kernel", and there can be multiple kernels for different architectures (e.g. CPUs, GPUs) or input / output types. Create a Python wrapper. This wrapper is the public API to create the Op. A default wrapper is generated from the...
Implement the Op in C++. This implementation is called a "kernel", and there can be multiple kernels for different architectures (e.g. CPUs, GPUs) or input / output types. Create a Python wrapper. This wrapper is the public API to create the Op. A default wrapper is generated from the...
Implement the Op in C++. This implementation is called a "kernel", and there can be multiple kernels for different architectures (e.g. CPUs, GPUs) or input / output types. Create a Python wrapper. This wrapper is the public API to create the Op. A default wrapper is generated from the...
Implement the Op in C++. This implementation is called a "kernel", and there can be multiple kernels for different architectures (e.g. CPUs, GPUs) or input / output types. Create a Python wrapper. This wrapper is the public API to create the Op. A default wrapper is generated from the...
To analyze the results of the classification model focusing on the identification of NTLs, error matrices were generated with the proposed applications. Table 11 presents the results of the error matrix for the model with temperature input, which has as a differential the input variables Pearson’s...