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Results 1 - 2 of 2 for ReduceSum (0.08 sec)
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tensorflow/cc/gradients/array_grad.cc
// all the gradients from the shape it fills. // We use ReduceSum to implement this, which needs an argument providing // the indices of all the dimensions of the incoming gradient. // grad(x) = reduce_sum(grad(y), [0..rank(grad(y))]) auto all_dims = Range(scope, Const(scope, 0), Rank(scope, grad_inputs[0]), Const(scope, 1)); grad_outputs->push_back(ReduceSum(scope, grad_inputs[0], all_dims)); return scope.status();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 10 23:33:32 UTC 2023 - 31.7K bytes - Viewed (0) -
tensorflow/cc/gradients/linalg_grad.cc
scope, Slice1dHelper(scope, x_shape, bx_start, bx_end), Slice1dHelper(scope, y_shape, by_start, by_end)); grad_x = Reshape( scope, ReduceSum(scope, grad_x, Add(scope, bx_start, args.r0)), x_shape); grad_y = Reshape( scope, ReduceSum(scope, grad_y, Add(scope, by_start, args.r1)), y_shape); grad_outputs->push_back(grad_x); grad_outputs->push_back(grad_y); return scope.status(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 07 23:11:54 UTC 2022 - 20.4K bytes - Viewed (0)