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Results 1 - 9 of 9 for valides (0.28 sec)
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tensorflow/c/eager/c_api_test.cc
TF_DeleteTensor(tensor); TFE_DeleteTensorHandle(tensor_handle); std::vector<int64_t> values(4, 1); TFE_OpSetAttrIntList(op, "ksize", values.data(), values.size()); TFE_OpSetAttrIntList(op, "strides", values.data(), values.size()); const int BUFFER_SIZE = 10; char buffer[BUFFER_SIZE]; std::strncpy(buffer, "VALID", BUFFER_SIZE); TFE_OpSetAttrString(op, "padding", buffer, std::strlen(buffer));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 20:50:20 GMT 2023 - 94.6K bytes - Viewed (1) -
tensorflow/c/c_api_test.cc
EXPECT_EQ(2, TF_NumDims(out)); EXPECT_EQ(4, TF_Dim(out, 0)); EXPECT_EQ(1, TF_Dim(out, 1)); float* values = static_cast<float*>(TF_TensorData(out)); // These values are defined to be (input / 2) + 2. EXPECT_EQ(2, values[0]); EXPECT_EQ(2.5, values[1]); EXPECT_EQ(3, values[2]); EXPECT_EQ(3.5, values[3]); csession.CloseAndDelete(s); EXPECT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
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
option_value.num_values = values.size(); std::vector<TF_Filesystem_Option_Value_Union> option_values(values.size()); for (size_t i = 0; i < values.size(); i++) { memset(&option_values[i], 0, sizeof(option_values[i])); option_values[i].buffer_val.buf = const_cast<char*>(values[i].c_str()); option_values[i].buffer_val.buf_length = values[i].size(); } option_value.values = &option_values[0];
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/nn_grad_test.cc
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 8.3K bytes - Viewed (0) -
tensorflow/c/checkpoint_reader.cc
// First pass: filters out the entries of the slices. std::unordered_set<string> filtered_keys; BundleEntryProto entry; v2_reader_->Seek(kHeaderEntryKey); for (v2_reader_->Next(); v2_reader_->Valid(); v2_reader_->Next()) { CHECK(entry.ParseFromArray(v2_reader_->value().data(), v2_reader_->value().size())) << entry.InitializationErrorString();
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/unified_api_testutil.h
absl::Span<AbstractTensorHandle*> outputs, bool use_function); Status BuildImmediateExecutionContext(bool use_tfrt, AbstractContext** ctx); // Return a tensor handle with given type, values and dimensions. template <class T, TF_DataType datatype> Status TestTensorHandleWithDims(AbstractContext* ctx, const T* data, const int64_t* dims, int num_dims,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 4K bytes - Viewed (0) -
ci/official/envs/rbe
# TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX. "Available" means there is # an entry in tensorflow/.bazelrc for build:rbe_TFCI_BAZEL_TARGET... # ^^^^ # This env is only valid when RBE is available on the selected platform, since # it enables a derived --config setting. If RBE is not available (i.e. there # is no --config setting), bazel would fail and quit. This script does a quick
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jan 10 19:39:41 GMT 2024 - 2K bytes - Viewed (0) -
tensorflow/c/c_api.cc
const unsigned char* values, int num_values) { std::unique_ptr<bool[]> b(new bool[num_values]); for (int i = 0; i < num_values; ++i) { b[i] = values[i]; } desc->node_builder.Attr(attr_name, ArraySlice<const bool>(b.get(), num_values)); } void TF_SetAttrType(TF_OperationDescription* desc, const char* attr_name,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
RELEASE.md
dispatch to logical ops. This brings them more in line with Python and NumPy behavior. * Adds `tf.SparseTensor.with_values`. This returns a new SparseTensor with the same sparsity pattern, but with new provided values. It is similar to the `with_values` function of `RaggedTensor`. * Adds `StatelessCase` op, and uses it if none of case branches has stateful ops.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8)