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configure.py
looping. """ default = environ_cp.get(var_name) or var_default full_query = '%s [Default is %s]: ' % ( ask_for_var, default, ) for _ in range(n_ask_attempts): val = get_from_env_or_user_or_default(environ_cp, var_name, full_query, default) if check_success(val): break if not suppress_default_error:
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1) -
tensorflow/c/eager/gradient_checker.cc
namespace tensorflow { namespace gradients { using namespace std; // ================== Helper functions ================= // Fills data with values [start,end) with given step size. void Range(vector<int32_t>* data, int32_t start, int32_t end, int32_t step = 1) { for (int32_t i = start; i < end; i += step) { (*data)[i] = i; } } // Fills out_dims with the dimensions of the given tensor.
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7.3K bytes - Viewed (0) -
ci/official/utilities/extract_resultstore_links.py
with open(file_path, 'r', encoding='utf-8', errors='ignore') as f: log_lines = f.read().splitlines() result_store_links: ResultDictType = {} current_url = None for i in range(len(log_lines)): line = log_lines[i] result_store_line_match = re.search(RESULT_STORE_LINK_RE, line) if not result_store_line_match: continue url = result_store_line_match.group(1)
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Nov 08 17:50:27 GMT 2023 - 10.9K bytes - Viewed (0)