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tensorflow/c/eager/c_api_test.cc
TFE_TensorHandle* input1 = TestMatrixTensorHandle(ctx); TFE_TensorHandle* input2 = TestMatrixTensorHandle(ctx); TFE_TensorHandle* dim = TestScalarTensorHandle(ctx, 0); TFE_Op* concatOp = TFE_NewOp(ctx, "Concat", status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_TensorHandle* inputs[] = {input1, input2}; TFE_OpAddInput(concatOp, dim, status);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 20:50:20 GMT 2023 - 94.6K bytes - Viewed (1) -
tensorflow/c/c_api_test.cc
TEST(CAPI, Status) { TF_Status* s = TF_NewStatus(); EXPECT_EQ(TF_OK, TF_GetCode(s)); EXPECT_EQ(string(), TF_Message(s)); TF_SetStatus(s, TF_CANCELLED, "cancel"); EXPECT_EQ(TF_CANCELLED, TF_GetCode(s)); EXPECT_EQ(string("cancel"), TF_Message(s)); TF_DeleteStatus(s); } void Deallocator(void* data, size_t, void* arg) { tensorflow::cpu_allocator()->DeallocateRaw(data);
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) -
tensorflow/c/c_api.h
// order, and type) the op declaration. For example, the "Concat" op // has registration: // REGISTER_OP("Concat") // .Input("concat_dim: int32") // .Input("values: N * T") // .Output("output: T") // .Attr("N: int >= 2") // .Attr("T: type"); // that defines two inputs, "concat_dim" and "values" (in that order).
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 26 21:08:15 GMT 2023 - 82.3K bytes - Viewed (3)