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Results 1 - 3 of 3 for TF_ShapeInferenceContextNumInputs (0.29 sec)

  1. tensorflow/c/ops.cc

      Set_TF_Status_from_Status(status, s);
    }
    
    TF_DimensionHandle* TF_NewDimensionHandle() {
      return reinterpret_cast<TF_DimensionHandle*>(new DimensionHandle);
    }
    
    int64_t TF_ShapeInferenceContextNumInputs(TF_ShapeInferenceContext* ctx) {
      auto* cc_ctx = reinterpret_cast<InferenceContext*>(ctx);
      return cc_ctx->num_inputs();
    }
    
    void TF_ShapeInferenceContextGetInput(TF_ShapeInferenceContext* ctx, int i,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jul 28 22:41:35 UTC 2022
    - 10.9K bytes
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  2. tensorflow/c/ops.h

    // TF_ShapeInferenceContext to examine the input state and determine the output
    // shape.
    
    // Returns the number of inputs in the given shape inference context.
    TF_CAPI_EXPORT extern int64_t TF_ShapeInferenceContextNumInputs(
        TF_ShapeInferenceContext* ctx);
    
    // Returns a newly allocated shape handle. The shapes represented by these
    // handles may be queried or mutated with the corresponding
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 27 21:07:00 UTC 2023
    - 16.3K bytes
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  3. tensorflow/c/ops_test.cc

    TEST(OpsTest, ShapeInferenceConcatenateShapes) {
      NodeDef def;
      shape_inference::InferenceContext c(0, def, MakeOpDef(2, 0),
                                          {S({1, 2}), S({3, 4})}, {}, {}, {});
      ASSERT_EQ(2, TF_ShapeInferenceContextNumInputs(C_CTX(&c)));
      shape_inference::ShapeHandle a = c.input(0);
      shape_inference::ShapeHandle b = c.input(1);
      TF_ShapeHandle* result = TF_NewShapeHandle();
      TF_Status* status = TF_NewStatus();
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Aug 11 01:20:50 UTC 2021
    - 12.6K bytes
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