Search Options

Results per page
Sort
Preferred Languages
Advance

Results 51 - 60 of 83 for shape_1 (0.07 sec)

  1. ci/official/containers/linux_arm64/devel.usertools/wheel_verification.bats

        python3 -m pip install "$TF_WHEEL"
    }
    
    @test "TensorFlow is importable" {
        source /tf/venv/bin/activate
        python3 -c 'import tensorflow as tf; t1=tf.constant([1,2,3,4]); t2=tf.constant([5,6,7,8]); print(tf.add(t1,t2).shape)'
    }
    
    # Is this still useful?
    @test "TensorFlow has Keras" {
        source /tf/venv/bin/activate
        python3 -c 'import sys; import tensorflow as tf; sys.exit(0 if "keras" in tf.keras.__name__ else 1)'
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Tue Jan 23 02:14:00 UTC 2024
    - 2.7K bytes
    - Viewed (0)
  2. android/guava-tests/benchmark/com/google/common/hash/MessageDigestAlgorithmBenchmark.java

          }
        };
        ;
    
        public abstract byte[] hash(Algorithm algorithm, byte[] input);
      }
    
      private enum Algorithm {
        MD5("MD5", Hashing.md5()),
        SHA_1("SHA-1", Hashing.sha1()),
        SHA_256("SHA-256", Hashing.sha256()),
        SHA_384("SHA-384", Hashing.sha384()),
        SHA_512("SHA-512", Hashing.sha512());
    
        private final String algorithmName;
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Mon Dec 04 17:37:03 UTC 2017
    - 3.5K bytes
    - Viewed (0)
  3. guava-tests/benchmark/com/google/common/hash/MessageDigestAlgorithmBenchmark.java

          }
        };
        ;
    
        public abstract byte[] hash(Algorithm algorithm, byte[] input);
      }
    
      private enum Algorithm {
        MD5("MD5", Hashing.md5()),
        SHA_1("SHA-1", Hashing.sha1()),
        SHA_256("SHA-256", Hashing.sha256()),
        SHA_384("SHA-384", Hashing.sha384()),
        SHA_512("SHA-512", Hashing.sha512());
    
        private final String algorithmName;
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Mon Dec 04 17:37:03 UTC 2017
    - 3.5K bytes
    - Viewed (0)
  4. SECURITY.md

    inspected and debugged and it is intended to be used during the development
    phase.
    
    As part of the differences that make Eager mode easier to debug, the [shape
    inference
    functions](https://www.tensorflow.org/guide/create_op#define_the_op_interface)
    are skipped, and any checks implemented inside the shape inference code are not
    executed.
    
    The security impact of skipping those checks should be low, since the attack
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Wed Oct 16 16:10:43 UTC 2024
    - 9.6K bytes
    - Viewed (0)
  5. android/guava-testlib/src/com/google/common/collect/testing/DerivedCollectionGenerators.java

          return samples;
        }
    
        @Override
        public Set<K> create(Object... elements) {
          @SuppressWarnings("unchecked")
          K[] keysArray = (K[]) elements;
    
          // Start with a suitably shaped collection of entries
          Collection<Entry<K, V>> originalEntries = mapGenerator.getSampleElements(elements.length);
    
          // Create a copy of that, with the desired value for each key
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Wed Oct 30 16:15:19 UTC 2024
    - 18.2K bytes
    - Viewed (0)
  6. guava-testlib/src/com/google/common/collect/testing/google/DerivedGoogleCollectionGenerators.java

          return samples;
        }
    
        @Override
        public Set<V> create(Object... elements) {
          @SuppressWarnings("unchecked")
          V[] valuesArray = (V[]) elements;
    
          // Start with a suitably shaped collection of entries
          Collection<Entry<K, V>> originalEntries = mapGenerator.getSampleElements(elements.length);
    
          // Create a copy of that, with the desired value for each value
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Wed Oct 30 16:15:19 UTC 2024
    - 6.8K bytes
    - Viewed (0)
  7. android/guava-testlib/src/com/google/common/collect/testing/google/DerivedGoogleCollectionGenerators.java

          return samples;
        }
    
        @Override
        public Set<V> create(Object... elements) {
          @SuppressWarnings("unchecked")
          V[] valuesArray = (V[]) elements;
    
          // Start with a suitably shaped collection of entries
          Collection<Entry<K, V>> originalEntries = mapGenerator.getSampleElements(elements.length);
    
          // Create a copy of that, with the desired value for each value
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Wed Oct 30 16:15:19 UTC 2024
    - 6.8K bytes
    - Viewed (0)
  8. tensorflow/c/eager/c_api_unified_experimental_internal.h

     public:
      // Add a function parameter and return the corresponding tensor.
      virtual absl::Status AddParameter(DataType dtype,
                                        const PartialTensorShape& shape,
                                        TracingTensorHandle**) = 0;
    
      // Finalize this context and make a function out of it. The context is in a
      // invalid state after this call and must be destroyed.
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Sat Oct 12 05:11:17 UTC 2024
    - 5.2K bytes
    - Viewed (0)
  9. tensorflow/c/eager/gradient_checker.cc

      memcpy(theta_data.data(), TF_TensorData(theta_tensor),
             TF_TensorByteSize(theta_tensor));
    
      // Initialize space for the numerical gradient.
      vector<float> dtheta_approx(num_elems);
    
      // Get theta shape and store in theta_dims.
      int num_dims = TF_NumDims(theta_tensor);
      vector<int64_t> theta_dims(num_dims);
      GetDims(theta_tensor, theta_dims.data());
    
      // Initialize auxilary data structures.
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Sat Oct 12 05:11:17 UTC 2024
    - 7.3K bytes
    - Viewed (0)
  10. tensorflow/c/c_test_util.h

    TF_Operation* Neg(TF_Operation* n, TF_Graph* graph, TF_Status* s,
                      const char* name = "neg");
    
    TF_Operation* LessThan(TF_Output l, TF_Output r, TF_Graph* graph, TF_Status* s);
    
    TF_Operation* RandomUniform(TF_Operation* shape, TF_DataType dtype,
                                TF_Graph* graph, TF_Status* s);
    
    // Split `input` along the first dimension into 3 tensors
    TF_Operation* Split3(TF_Operation* input, TF_Graph* graph, TF_Status* s,
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Thu Aug 09 01:06:53 UTC 2018
    - 6K bytes
    - Viewed (0)
Back to top