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tensorflow/c/experimental/gradients/grad_test_helper.h
Model model, Model grad_model, AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, bool use_function, double abs_error = 1e-2); void CheckTensorValue(AbstractTensorHandle* t, absl::Span<const float> manuals, absl::Span<const int64_t> dims, double abs_error = 1e-2); Model BuildGradModel(Model forward, GradientRegistry registry); } // namespace internal } // namespace gradients
C - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Thu Jan 14 20:36:51 GMT 2021 - 1.5K bytes - Viewed (0) -
ci/official/containers/linux_arm64/builder.devtoolset/gcc9-fixups.patch
index fcf956a..e2c5d29 100644 --- a/sysdeps/ieee754/dbl-64/k_rem_pio2.c +++ b/sysdeps/ieee754/dbl-64/k_rem_pio2.c @@ -172,7 +172,8 @@ int __kernel_rem_pio2(double *x, double *y, int e0, int nx, int prec, const int3 /* compute q[0],q[1],...q[jk] */ for (i=0;i<=jk;i++) { - for(j=0,fw=0.0;j<=jx;j++) fw += x[j]*f[jx+i-j]; q[i] = fw;
Others - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 18 14:52:45 GMT 2023 - 8.9K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3" build --python_path="/usr/local/bin/python3" # Build TensorFlow v2 build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1 # Prevent double-compilation of some TF code, ref. b/183279666 (internal) # > TF's gen_api_init_files has a genrule to run the core TensorFlow code # > on the host machine. If we don't have --distinct_host_configuration=false,
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Nov 21 12:25:39 GMT 2023 - 5.8K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# Build TensorFlow v2 build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1 # Use lld as the linker build --linkopt="-fuse-ld=lld" build --linkopt="-lm" build --linkopt="-Wl,--undefined-version" # Prevent double-compilation of some TF code, ref. b/183279666 (internal) # > TF's gen_api_init_files has a genrule to run the core TensorFlow code # > on the host machine. If we don't have --distinct_host_configuration=false,
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Nov 21 12:25:39 GMT 2023 - 6.3K bytes - Viewed (0) -
tensorflow/c/c_api_test.cc
TF_DeleteStatus(s); } TEST(CAPI, DataTypeEnum) { EXPECT_EQ(TF_FLOAT, static_cast<TF_DataType>(tensorflow::DT_FLOAT)); EXPECT_EQ(TF_DOUBLE, static_cast<TF_DataType>(tensorflow::DT_DOUBLE)); EXPECT_EQ(TF_INT32, static_cast<TF_DataType>(tensorflow::DT_INT32)); EXPECT_EQ(TF_UINT8, static_cast<TF_DataType>(tensorflow::DT_UINT8));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
tensorflow/c/experimental/filesystem/modular_filesystem.cc
return StatusFromTF_Status(plugin_status.get()); } Status ModularFileSystem::SetOption(const std::string& name, const std::vector<double>& values) { if (ops_->set_filesystem_configuration == nullptr) { return errors::Unimplemented( "Filesystem does not support SetConfiguration()"); } if (values.empty()) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Sep 06 19:12:29 GMT 2023 - 23.1K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/grad_test_helper.cc
namespace gradients { namespace internal { void CompareNumericalAndAutodiffGradients( Model model, Model grad_model, AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, bool use_function, double abs_error) { auto num_inputs = inputs.size(); std::vector<AbstractTensorHandle*> outputs(num_inputs); auto s = RunModel(grad_model, ctx, inputs, absl::MakeSpan(outputs), /*use_function=*/use_function);
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/c_api_unified_experimental_test.cc
TEST_P(UnifiedCAPI, TestBasicGraph) { std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status( TF_NewStatus(), TF_DeleteStatus); // Start a new function / execution context. string fn_name = "double"; TF_ExecutionContext* graph_ctx = TF_CreateFunction(fn_name.c_str(), status.get()); ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get()); auto* placeholder_t =
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 19 21:44:52 GMT 2023 - 39.1K bytes - Viewed (0) -
tensorflow/c/c_test_util.cc
return TF_NewTensor(TF_INT32, nullptr, 0, values, num_bytes, &Int32Deallocator, nullptr); } TF_Tensor* DoubleTensor(double v) { const int num_bytes = sizeof(double); double* values = new double[1]; values[0] = v; return TF_NewTensor(TF_DOUBLE, nullptr, 0, values, num_bytes, &DoubleDeallocator, nullptr); } TF_Tensor* FloatTensor(float v) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:52 GMT 2021 - 17.8K bytes - Viewed (2) -
tensorflow/c/c_test_util.h
// Create 1 dimensional tensor with values from `values` TF_Tensor* Int32Tensor(const std::vector<int32_t>& values); TF_Tensor* Int32Tensor(int32_t v); TF_Tensor* DoubleTensor(double v); TF_Tensor* FloatTensor(float v); TF_Operation* Placeholder(TF_Graph* graph, TF_Status* s, const char* name = "feed", TF_DataType dtype = TF_INT32,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 09 01:06:53 GMT 2018 - 6K bytes - Viewed (0)