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ci/official/utilities/extract_resultstore_links.py
return result_store_links def indent_xml(elem, level=0) -> None: """Indents and newlines the XML for better output.""" indent_str = '\n' + level * ' ' if len(elem): # pylint: disable=g-explicit-length-test # `if elem` not valid if not elem.text or not elem.text.strip(): elem.text = indent_str + ' ' if not elem.tail or not elem.tail.strip(): elem.tail = indent_str for elem in elem:
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) -
ci/official/containers/linux_arm64/devel.usertools/squash_testlogs.py
).group(0) for testsuite in r: testsuite._elem.set("source_file", source_file) # Remove empty testcases for p in testsuite._elem.xpath(".//testcase"): if not len(p): # pylint: disable=g-explicit-length-test testsuite._elem.remove(p) # Change "testsuite > testcase,system-out" to "testsuite > testcase > error" for p in testsuite._elem.xpath(".//system-out"):
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 18 19:00:37 GMT 2023 - 4.8K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/grad_test_helper.cc
ASSERT_EQ(errors::OK, s.code()) << s.message(); auto num_elem_numerical = TF_TensorElementCount(numerical_tensor); TF_Tensor* analytical_tensor; s = GetValue(outputs[i], &analytical_tensor); ASSERT_EQ(errors::OK, s.code()) << s.message(); auto num_elem_analytical = TF_TensorElementCount(analytical_tensor); ASSERT_EQ(num_elem_numerical, num_elem_analytical); float* dnumerical = new float[num_elem_numerical]{0};
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker_test.cc
TF_Tensor* numerical_tensor; s = GetValue(numerical_grad.get(), &numerical_tensor); ASSERT_EQ(errors::OK, s.code()) << s.message(); auto num_elem_numerical = TF_TensorElementCount(numerical_tensor); ASSERT_EQ(num_elem_numerical, num_grad); float* dnumerical = new float[num_elem_numerical]{0}; memcpy(&dnumerical[0], TF_TensorData(numerical_tensor), TF_TensorByteSize(numerical_tensor));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Apr 14 10:03:59 GMT 2023 - 6.5K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker.cc
// Get number of elements and fill data. int num_elems = TF_TensorElementCount(theta_tensor); vector<float> theta_data(num_elems); memcpy(theta_data.data(), TF_TensorData(theta_tensor), TF_TensorByteSize(theta_tensor)); // Initialize space for the numerical gradient. vector<float> dtheta_approx(num_elems); // Get theta shape and store in theta_dims.
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)