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Results 1 - 5 of 5 for TF_TensorData (0.07 sec)

  1. tensorflow/c/eager/gradient_checker.cc

      // Get number of elements and fill data.
      int num_elems = TF_TensorElementCount(theta_tensor);
      vector<float> theta_data(num_elems);
      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.
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Sat Oct 12 05:11:17 UTC 2024
    - 7.3K bytes
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  2. tensorflow/c/eager/c_api_remote_test.cc

      TF_Tensor* t = TFE_TensorHandleResolve(retvals[0], status);
      ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
      float product[4] = {0};
      EXPECT_EQ(sizeof(product), TF_TensorByteSize(t));
      memcpy(&product[0], TF_TensorData(t), TF_TensorByteSize(t));
      TF_DeleteTensor(t);
      EXPECT_EQ(7, product[0]);
      EXPECT_EQ(10, product[1]);
      EXPECT_EQ(15, product[2]);
      EXPECT_EQ(22, product[3]);
    
      TFE_DeleteTensorHandle(h0_task0);
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Wed Aug 12 00:14:22 UTC 2020
    - 5.4K bytes
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  3. tensorflow/c/eager/c_api_test_util.h

                                               const int64_t* dims, int num_dims) {
      TF_Status* status = TF_NewStatus();
      TF_Tensor* t = TFE_AllocateHostTensor(ctx, datatype, dims, num_dims, status);
      memcpy(TF_TensorData(t), data, TF_TensorByteSize(t));
      TFE_TensorHandle* th = TFE_NewTensorHandleFromTensor(ctx, t, status);
      CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
      TF_DeleteTensor(t);
      TF_DeleteStatus(status);
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Mon Jul 17 23:43:59 UTC 2023
    - 7.7K bytes
    - Viewed (0)
  4. tensorflow/c/eager/c_api_remote_test_util.cc

      ASSERT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);
      TFE_DeleteTensorHandle(retval_task0);
      float product[4] = {0};
      EXPECT_EQ(sizeof(product), TF_TensorByteSize(t));
      memcpy(&product[0], TF_TensorData(t), TF_TensorByteSize(t));
      TF_DeleteTensor(t);
      EXPECT_EQ(7, product[0]);
      EXPECT_EQ(10, product[1]);
      EXPECT_EQ(15, product[2]);
      EXPECT_EQ(22, product[3]);
    
      TFE_DeleteTensorHandle(h0_task0);
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Fri Dec 11 22:56:03 UTC 2020
    - 9.1K bytes
    - Viewed (0)
  5. tensorflow/c/eager/gradient_checker_test.cc

      auto num_elem_numerical = TF_TensorElementCount(numerical_tensor);
      ASSERT_EQ(num_elem_numerical, num_grad);
    
      float* dnumerical = new float[num_elem_numerical]{0};
      memcpy(&dnumerical[0], TF_TensorData(numerical_tensor),
             TF_TensorByteSize(numerical_tensor));
    
      for (int j = 0; j < num_grad; j++) {
        ASSERT_NEAR(dnumerical[j], expected_grad[j], abs_error);
      }
      delete[] dnumerical;
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Sat Oct 12 05:11:17 UTC 2024
    - 6.5K bytes
    - Viewed (0)
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