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Results 1 - 6 of 6 for Hatch (5.06 sec)

  1. tensorflow/c/c_api.cc

    #include <algorithm>
    #include <cstring>
    #include <limits>
    #include <memory>
    #include <optional>
    #include <unordered_set>
    #include <utility>
    #include <vector>
    
    #include "absl/strings/match.h"
    // Required for IS_MOBILE_PLATFORM
    #include "tensorflow/core/platform/platform.h"  // NOLINT
    
    #if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
    #include "tensorflow/c/experimental/filesystem/modular_filesystem.h"
    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)
  2. tensorflow/c/experimental/gradients/custom_gradient_test.cc

                                  absl::Span<AbstractTensorHandle* const> inputs,
                                  absl::Span<AbstractTensorHandle*> outputs) {
      Tape tape(/*persistent=*/false);
      tape.Watch(inputs[0]);  // Watch x.
      AbstractTensorHandle* exp_output;
      TF_RETURN_IF_ERROR(ops::Exp(ctx, inputs[0], &exp_output, "Exp"));
      std::unique_ptr<GradientFunction> gradient_function(
          new PassThroughGradientFunction);
    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)
  3. tensorflow/c/experimental/gradients/grad_test_helper.cc

                 absl::Span<AbstractTensorHandle* const> inputs,
                 absl::Span<AbstractTensorHandle*> outputs) -> Status {
        Tape tape(/*persistent=*/false);
        for (size_t i{}; i < inputs.size(); ++i) {
          tape.Watch(inputs[i]);
        }
        std::vector<AbstractTensorHandle*> temp_outputs(1);
        AbstractContextPtr tape_ctx(new TapeContext(ctx, &tape, grad_registry));
        TF_RETURN_IF_ERROR(
    C++
    - Registered: Tue Mar 26 12:39:09 GMT 2024
    - Last Modified: Wed Feb 28 13:53:47 GMT 2024
    - 5K bytes
    - Viewed (0)
  4. tensorflow/c/c_api_function.cc

    ==============================================================================*/
    
    #include <algorithm>
    #include <unordered_map>
    #include <unordered_set>
    #include <utility>
    
    #include "absl/strings/match.h"
    #include "tensorflow/c/c_api_internal.h"
    #include "tensorflow/c/tf_buffer_internal.h"
    #include "tensorflow/core/framework/attr_value_util.h"
    #include "tensorflow/core/framework/function.h"
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Mon Apr 15 03:35:10 GMT 2024
    - 13.6K bytes
    - Viewed (2)
  5. tensorflow/c/eager/c_api_experimental.cc

    #include "tensorflow/c/eager/c_api_experimental.h"
    
    #include <cstdint>
    #include <memory>
    #include <utility>
    #include <vector>
    
    #include "absl/container/flat_hash_map.h"
    #include "absl/strings/match.h"
    #include "absl/time/time.h"
    #include "tensorflow/c/c_api.h"
    #include "tensorflow/c/eager/c_api_internal.h"
    #include "tensorflow/c/eager/tfe_context_internal.h"
    #include "tensorflow/c/eager/tfe_op_internal.h"
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Thu Apr 11 23:52:39 GMT 2024
    - 35.9K bytes
    - Viewed (3)
  6. tensorflow/c/c_api_test.cc

        // Compare that the graphs match.
        GraphDef expected_gdef;
        GraphDef gdef;
        EXPECT_TRUE(GetGraphDef(expected_graph_, &expected_gdef));
        EXPECT_TRUE(GetGraphDef(graph_, &gdef));
        TF_EXPECT_GRAPH_EQ(expected_gdef, gdef);
    
        // Compare that the output of the gradients of both graphs match.
        RunGraphsAndCompareOutputs(grad_outputs, expected_grad_outputs);
      }
    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)
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