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Results 1 - 2 of 2 for BroadcastGradientArgs (0.44 sec)
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tensorflow/cc/gradients/math_grad.cc
Output s_max = Shape(scope, max); Output min_mask = Less(scope, x, min); Output max_mask = Greater(scope, x, max); auto r_min = internal::BroadcastGradientArgs(scope, s_x, s_min); auto r_max = internal::BroadcastGradientArgs(scope, s_x, s_max); Output grad = grad_inputs[0]; Output zeros = ZerosLike(scope, grad); Output x_grad =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Aug 25 18:20:20 UTC 2023 - 50.7K bytes - Viewed (0) -
tensorflow/compiler/jit/mark_for_compilation_pass.cc
"Range", "Rank", "Reshape", "Shape", "ShapeN", "Size", "Squeeze", "Transpose", "ZerosLike", "OnesLike", "BiasAdd" /*PW + Broadcast*/, "BroadcastArgs", "BroadcastGradientArgs", "OneHot", "Concat", "ConcatV2", "ConcatOffset", "Const", "MirrorPad", "MirrorPadGrad", "Pack", "Pad", "PadV2", "Reverse", "ReverseV2", "ReverseSequence", "Slice", "Split",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 12:19:41 UTC 2024 - 85.3K bytes - Viewed (0)