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tensorflow/c/checkpoint_reader.cc
new TensorSliceReader::VarToDataTypeMap); v2_reader_->Seek(kHeaderEntryKey); for (v2_reader_->Next(); v2_reader_->Valid(); v2_reader_->Next()) { if (filtered_keys.count(string(v2_reader_->key())) > 0) continue; CHECK(entry.ParseFromArray(v2_reader_->value().data(), v2_reader_->value().size())) << entry.InitializationErrorString(); string key(v2_reader_->key());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Aug 25 21:29:12 GMT 2023 - 5.5K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker_test.cc
absl::Span<AbstractTensorHandle*> outputs) { return ops::Mul(ctx, inputs[0], inputs[1], &outputs[0], "Mul"); } // TODO(vnvo2409): Add more tests from `python/ops/gradient_checker_v2_test.py`. // These tests should not be confused with `[*]_grad_test` which compare the // result of `gradient_checker` and `[*]_grad`. The tests here test the // functionality of `gradient_checker` by comparing the result with expected
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/c_api_function_test.cc
ASSERT_NE(func_, nullptr); // Verify that FunctionDef has 2 attributes, "v1" and "v2". ASSERT_EQ(func_->record->fdef().signature().attr().size(), 2); EXPECT_EQ(func_->record->fdef().signature().attr(0).name(), "v1"); EXPECT_EQ(func_->record->fdef().signature().attr(0).type(), "int"); EXPECT_EQ(func_->record->fdef().signature().attr(1).name(), "v2"); EXPECT_EQ(func_->record->fdef().signature().attr(1).type(), "int"); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 20 22:08:54 GMT 2023 - 63.6K bytes - Viewed (6)