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run_crossprod_solve

Source: R/mod_predict_latent_factor.R
run_crossprod_solve.Rd

Internal function to executes a Python script that performs matrix computations using TensorFlow with provided inputs. Retries up to three times if the output file validation fails.

Usage

run_crossprod_solve(
  tf_environ,
  s1,
  s2,
  post_eta,
  path_out,
  denom,
  chunk_size = 1000L,
  threshold_mb = 2000L,
  tf_use_single = TRUE,
  verbose = TRUE,
  solve_chunk_size = 50L,
  solve_max_attempts = 5L,
  lf_commands_only = FALSE
)

Arguments

tf_environ

Character. Path to the Python environment. This argument is required if use_tf is TRUE under Windows. Defaults to NULL.

s1

Character. Path to the input file containing s1 coordinates.

s2

Character Path to the input file containing s2 coordinates.

post_eta

Character. Path to the file containing the post_eta matrix data.

path_out

Character. Path to rds file where the output results will be saved.

denom

Numeric. The denominator value used in the computation.

chunk_size

Numeric (Optional). Size of chunks to process at a time. Default is 1000.

threshold_mb

Numeric (Optional). Memory threshold (in MB) to manage processing. Default is 2000.

tf_use_single

Logical. Whether to use single precision for the TensorFlow calculations. Defaults to FALSE.

verbose

Logical. If TRUE, logs detailed information during execution. Default is TRUE.

solve_chunk_size

Integer. Chunk size for solve_and_multiply Python function. Default is 50L.

solve_max_attempts

Integer. Maximum number of attempts to run solve and crossprod internal function run_crossprod_solve. Default is 5L.

lf_commands_only

Logical. If TRUE, returns the command to run the Python script. Default is FALSE.

Value

Returns the path_out if successful. Returns NULL if all attempts fail.

Details

  • The function checks for the existence of required input files and the Python executable in the specified virtual environment.

  • Executes the Python script using system2.

  • Verifies the output file validity using ecokit::check_data. Retries up to 3 times if the output is invalid.

  • Generates detailed logs if verbose is set to TRUE.

Author

Ahmed El-Gabbas