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Results 1 - 10 of 56 for _values (1.01 sec)
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tensorflow/c/experimental/gradients/tape/tape_operation.cc
} Status TapeOperation::SetAttrBoolList(const char* attr_name, 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]; } forward_op_.attrs.Set(attr_name, gtl::ArraySlice<const bool>(b.get(), num_values));
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Tue Jun 07 01:53:35 GMT 2022 - 9K bytes - Viewed (1) -
tensorflow/c/experimental/filesystem/modular_filesystem.cc
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].real_val = values[i]; } option_value.values = &option_values[0]; option.value = &option_value; UniquePtrTo_TF_Status plugin_status(TF_NewStatus(), TF_DeleteStatus);
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/eager/c_api_test.cc
tensorflow::AttrValueMap attr_values = ExtractAttrs(minOp); tensorflow::AttrValueMap::const_iterator attr_found = attr_values.find("T"); EXPECT_NE(attr_found, attr_values.cend()); EXPECT_EQ(attr_found->second.type(), tensorflow::DataType::DT_FLOAT); attr_found = attr_values.find("Tidx"); EXPECT_NE(attr_found, attr_values.cend());
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_test_util.cc
ResetOutputValues(); output_values_.resize(outputs_.size(), nullptr); const TF_Output* inputs_ptr = inputs_.empty() ? nullptr : &inputs_[0]; TF_Tensor* const* input_values_ptr = input_values_.empty() ? nullptr : &input_values_[0]; const TF_Output* outputs_ptr = outputs_.empty() ? nullptr : &outputs_[0]; TF_Tensor** output_values_ptr = output_values_.empty() ? nullptr : &output_values_[0];
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/eager/abstract_operation.h
int num_values) = 0; virtual Status SetAttrTypeList(const char* attr_name, const DataType* values, int num_values) = 0; virtual Status SetAttrBoolList(const char* attr_name, const unsigned char* values, int num_values) = 0; virtual Status SetAttrShapeList(const char* attr_name, const int64_t** dims,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jul 14 16:20:41 GMT 2021 - 6.8K bytes - Viewed (0) -
tensorflow/c/experimental/grappler/grappler.cc
include_input_tensor_values, include_output_tensor_values); if (!s.ok()) { tsl::Set_TF_Status_from_Status(status, s); } } void TF_GetInputPropertiesListSize(TF_GraphProperties* graph_properties, const char* name, int* num_values, TF_Status* status) {
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Sep 06 19:12:29 GMT 2023 - 15K bytes - Viewed (1) -
tensorflow/c/eager/gradients.cc
return op_->SetAttrTypeList(attr_name, values, num_values); } Status SetAttrBoolList(AbstractOperation* op_, const char* attr_name, const unsigned char* values, int num_values, ForwardOperation* forward_op_) { std::unique_ptr<bool[]> b(new bool[num_values]); for (int i = 0; i < num_values; ++i) { b[i] = values[i]; }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 19.3K bytes - Viewed (0) -
tensorflow/c/experimental/grappler/grappler.h
TF_Bool aggressive_shape_inference, TF_Bool include_input_tensor_values, TF_Bool include_output_tensor_values, TF_Status* s); // Get the size of input OpInfo::TensorProperties given node name. TF_CAPI_EXPORT extern void TF_GetInputPropertiesListSize( TF_GraphProperties* graph_properties, const char* name, int* num_values, TF_Status* status);
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Aug 03 18:08:43 GMT 2022 - 12.5K bytes - Viewed (0) -
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/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)