Update tf.MatrixBandPart, tf.ResourceApplyAdagradV2 and tf.ResourceApplyMomentum summaries and descriptions to match between TensorFlow op definitions and TensorFlow MLIR ODS.
PiperOrigin-RevId: 308338605 Change-Id: I31c240b984ac4f1f873379910682d935ad50ac07
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@ -3979,8 +3979,7 @@ cublas.
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def TF_MatrixBandPartOp : TF_Op<"MatrixBandPart", [AllTypesMatch<["input", "band"]>, NoSideEffect]> {
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let summary = [{
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Copy a tensor setting everything outside a central band in each innermost matrix
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to zero.
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Copy a tensor setting everything outside a central band in each innermost matrix to zero.
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}];
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let description = [{
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@ -26,10 +26,8 @@ END
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Rank `k` tensor of the same shape as input. The extracted banded tensor.
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END
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}
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summary: "Copy a tensor setting everything outside a central band in each innermost matrix"
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summary: "Copy a tensor setting everything outside a central band in each innermost matrix to zero."
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description: <<END
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to zero.
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The `band` part is computed as follows:
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Assume `input` has `k` dimensions `[I, J, K, ..., M, N]`, then the output is a
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tensor with the same shape where
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@ -42,6 +42,6 @@ END
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summary: "Update \'*var\' according to the adagrad scheme."
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description: <<END
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accum += grad * grad
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var -= lr * grad * (1 / sqrt(accum))
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var -= lr * grad * (1 / (sqrt(accum) + epsilon))
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END
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}
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@ -46,9 +46,9 @@ var - lr * momentum * accum, so in the end, the var you get is actually
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var - lr * momentum * accum.
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END
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}
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summary: "Update \'*var\' according to the momentum scheme. Set use_nesterov = True if you"
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summary: "Update \'*var\' according to the momentum scheme."
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description: <<END
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want to use Nesterov momentum.
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Set use_nesterov = True if you want to use Nesterov momentum.
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accum = accum * momentum + grad
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var -= lr * accum
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