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Results 31 - 40 of 273 for hector (0.19 sec)
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tensorflow/c/experimental/gradients/custom_gradient_test.cc
#include "tensorflow/c/tf_status_helper.h" #include "tensorflow/core/platform/errors.h" #include "tensorflow/core/platform/test.h" namespace tensorflow { namespace gradients { namespace internal { namespace { using std::vector; class CustomGradientTest : public ::testing::TestWithParam<std::tuple<const char*, bool, bool>> { protected: void SetUp() override { TF_StatusPtr status(TF_NewStatus());
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 4.8K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_context.h
virtual bool UsesTFRT() = 0; // List attributes of available devices virtual void ListDevices(std::vector<DeviceAttributes>* devices) = 0; // Add `devices` into context's device manager. Context's device manager // will take ownership and maintain devices' lifetime. virtual Status AddDevices(std::vector<std::unique_ptr<Device>> devices) = 0; // Block until all pending nodes are finished.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 06 08:34:00 GMT 2023 - 12.3K bytes - Viewed (0) -
tensorflow/c/experimental/grappler/grappler_test.cc
ASSERT_EQ(status.message(), "'optimize_func' field in TP_Optimizer must be set."); } TEST(TF_GrapplerItem, NodesToPreserve) { GrapplerItem item; item.fetch = std::vector<string>{"Conv", "BiasAdd"}; std::unordered_set<string> nodes_preserved = item.NodesToPreserve(); TF_GrapplerItem* c_item = reinterpret_cast<TF_GrapplerItem*>(&item); int list_total_size = 0;
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Thu Apr 13 22:30:58 GMT 2023 - 11.6K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/grad_test_helper.cc
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); ASSERT_EQ(errors::OK, s.code()) << s.message();
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_graph.cc
limitations under the License. ==============================================================================*/ #include <memory> #include <utility> #include <vector> #include "absl/strings/str_cat.h" #include "tensorflow/c/c_api.h" #include "tensorflow/c/eager/abstract_context.h" #include "tensorflow/c/eager/c_api_internal.h"
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 15.4K bytes - Viewed (1) -
tensorflow/c/eager/unified_api_testutil.cc
absl::flat_hash_set<int> null_indices; { AbstractContextPtr func_ctx(BuildFunction(fn_name)); std::vector<AbstractTensorHandle*> func_inputs; func_inputs.reserve(inputs.size()); TF_RETURN_IF_ERROR( CreateParamsForInputs(func_ctx.get(), inputs, &func_inputs)); std::vector<AbstractTensorHandle*> model_outputs; model_outputs.resize(outputs.size());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 5.7K bytes - Viewed (0) -
istioctl/pkg/writer/envoy/configdump/testdata/endpoint/configdump.json
"@type": "type.googleapis.com/envoy.config.endpoint.v3.ClusterLoadAssignment", "cluster_name": "zipkin", "policy": { "overprovisioning_factor": 140 } } }, { "endpoint_config": {
Json - Registered: Wed May 08 22:53:08 GMT 2024 - Last Modified: Tue Jul 12 02:25:59 GMT 2022 - 66K bytes - Viewed (0) -
tensorflow/c/c_api_experimental_test.cc
} // Checks the expected result of shape inference for the given `op`. void CheckOutputShapes( TFE_Op* op, const std::vector<absl::optional<std::vector<int64_t>>>& input_shapes_vec, const std::vector<TF_Tensor*>& input_tensors, const absl::optional<std::vector<int64_t>>& expected_shape) { // Create input_shapes. TF_ShapeAndTypeList* input_shapes =
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jan 17 22:27:52 GMT 2023 - 13.1K bytes - Viewed (1) -
src/cmd/asm/internal/asm/testdata/amd64error.s
MOVL (AX)(X0*1), AX // ERROR "invalid instruction" MOVL (AX)(Y0*1), AX // ERROR "invalid instruction" // VSIB/VM is invalid without vector index. // TODO(quasilyte): improve error message (#21860). // "invalid VSIB address (missing vector index)" VPGATHERQQ Y2, (BP), Y1 // ERROR "invalid instruction" // AVX2GATHER mask/index/dest #UD cases.
Others - Registered: Tue Apr 30 11:13:12 GMT 2024 - Last Modified: Wed Jun 14 00:03:57 GMT 2023 - 8.9K bytes - Viewed (0) -
src/main/resources/fess_indices/_aws/fess/doc.json
"analyzer": "standard_analyzer", "search_analyzer": "standard_search_analyzer", "term_vector": "with_positions_offsets" }, "content": { "type": "text", "analyzer": "standard_analyzer", "search_analyzer": "standard_search_analyzer", "term_vector": "with_positions_offsets" }, "content_minhash": { "type": "keyword", "index": false
Json - Registered: Mon May 06 08:04:11 GMT 2024 - Last Modified: Tue Aug 15 11:50:35 GMT 2023 - 11.7K bytes - Viewed (0)