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Results 1 - 5 of 5 for reduce (0.42 sec)
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tensorflow/c/eager/parallel_device/parallel_device_test.cc
TF_SetAttrString(reduce_desc, "final_op", final_op.c_str(), final_op.length()); TF_SetAttrIntList(reduce_desc, "subdiv_offsets", nullptr, 0); TF_AddInput(reduce_desc, x); TF_Operation* reduce_op = TF_FinishOperation(reduce_desc, status); if (TF_GetCode(status) != TF_OK) return; TF_Operation* operations[]{placeholder_op, reduce_op}; TF_Output y{reduce_op, 0}; const char* output_name = "y";
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 29.3K bytes - Viewed (1) -
tensorflow/c/eager/gradient_checker.cc
TF_DeleteTensor(model_out_tensor); // If the output is a scalar, then return the scalar output if (num_dims_out == 0) { outputs[0] = model_out.release(); return absl::OkStatus(); } // Else, reduce sum the output to get a scalar // Will sum all dimensions, so get a Tensor containing [0,...,num_dims_out-1]. AbstractTensorHandlePtr sum_dims; { vector<int32_t> vals(num_dims_out);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7.3K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device.cc
// Non-parallel tensors from _EagerConst/tf.constant are implicitly // broadcast, i.e. set as the input to each parallel operation. This // allows code like "tf.constant(1.)" or "tf.reduce_sum(..., axis=1)" // (where the value starts on the host), without allowing other implicit // copies/broadcasts. Other implicit copies may be supported eventually,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 29 22:05:31 GMT 2023 - 18.3K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib_test.cc
TFE_NewOp(context.get(), "AssertAndCollective", status.get()), TFE_DeleteOp); ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get()); std::unique_ptr<ParallelTensor> reduced_values = parallel_device.ScalarsFromSequence<float>({1.0, 2.0}, context.get(), status.get()); ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 15.3K bytes - Viewed (0) -
tensorflow/c/eager/custom_device_test.cc
num_retvals = 1; executed = false; TFE_Execute(matmul.get(), &retval, &num_retvals, status.get()); EXPECT_FALSE(executed); ASSERT_FALSE(TF_GetCode(status.get()) == TF_OK); // Custom devices can refuse to do type-based dispatch (as hcustom1 is // configured to do) matmul.reset(MatMulOp(context.get(), hcustom1.get(), hcpu.get())); num_retvals = 1; executed = false;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 27 23:39:24 GMT 2020 - 18.4K bytes - Viewed (0)