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Results 1 - 2 of 2 for ParallelDynamicStitch (0.27 sec)
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tensorflow/compiler/jit/mark_for_compilation_pass.cc
"MaxPoolGradGradV2", "MaxPoolGradV2", "MaxPoolV2", "Multinomial", "NextAfter", "NonMaxSuppressionV3", "NonMaxSuppressionV4", "ParallelDynamicStitch", "ParameterizedTruncatedNormal", "PartitionedCall", "Polygamma", "PopulationCount", "Qr", "QuantizeAndDequantizeV2", "QuantizeAndDequantizeV3",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 12:19:41 UTC 2024 - 85.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
Values are merged in order, so if an index appears in both `indices[m][i]` and `indices[n][j]` for `(m,i) < (n,j)` the slice `data[n][j]` will appear in the merged result. If you do not need this guarantee, ParallelDynamicStitch might perform better on some devices. For example: ```python indices[0] = 6 indices[1] = [4, 1] indices[2] = [[5, 2], [0, 3]] data[0] = [61, 62]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0)