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Results 1 - 3 of 3 for MatMulOp (0.06 sec)

  1. tensorflow/c/eager/c_api_test_util.h

    // Return an add op multiplying `a` by `b`.
    TFE_Op* AddOp(TFE_Context* ctx, TFE_TensorHandle* a, TFE_TensorHandle* b);
    
    // Return a matmul op multiplying `a` by `b`.
    TFE_Op* MatMulOp(TFE_Context* ctx, TFE_TensorHandle* a, TFE_TensorHandle* b);
    
    // Return an identity op.
    TFE_Op* IdentityOp(TFE_Context* ctx, TFE_TensorHandle* a);
    
    // Return a shape op fetching the shape of `a`.
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Mon Jul 17 23:43:59 UTC 2023
    - 7.7K bytes
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  2. tensorflow/c/eager/c_api_remote_test.cc

      auto* h1_task1 =
          TFE_TensorHandleCopyToDevice(h1_task0, ctx, remote_device_name, status);
      ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
    
      TFE_Op* matmul = MatMulOp(ctx, h0_task1, h1_task1);
      TFE_OpSetDevice(matmul, remote_device_name, status);
      EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
    
      TFE_TensorHandle* retvals[1];
      int num_retvals = 1;
    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_remote_test_util.cc

        ASSERT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);
      } else {
        // Handles are on task0 (local), and task2, but op is on task1.
        matmul = MatMulOp(ctx, h0_task0, h1_task2);
      }
      if (remote) {
        TFE_OpSetDevice(matmul, task1_name, status);
        ASSERT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);
      } else if (!async) {
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Fri Dec 11 22:56:03 UTC 2020
    - 9.1K bytes
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