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Results 11 - 13 of 13 for conv4 (0.04 sec)
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tensorflow/compiler/jit/mark_for_compilation_pass.cc
{"BN", {"FusedBatchNorm", "FusedBatchNormV2", "FusedBatchNormV3", "_FusedBatchNormEx", "FusedBatchNormGrad", "FusedBatchNormGradV2", "FusedBatchNormGradV3"}}, {"Conv", {"_FusedConv2D"}}, {"SORT", {"TopKV2"}}, // XLA version much faster then TF version. {"MISC", // clang-format off {"ApproxTopK", "BroadcastTo", "ExpandDims", "Fill", "NoOp",
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/lite/stablehlo/transforms/compose_uniform_quantized_type_pass.cc
// Replace filter uses with uniform quantized filter. rewriter.replaceAllUsesWith(filter_op->getResult(0), quantized_filter_constant_op.getResult()); // Replace conv op with a new convolution op that has quantized output type. // Quantize -> Dequantize following r3. auto output_uniform_quantize_call_op = cast<func::CallOp>( *combined_scale_multiply_op.getResult().user_begin());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 64.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/g3doc/_includes/tf_passes.md
return ... } func @_func(%input: tensor<2x112x112x12xf32>, %filter: tensor<7x7x3x64xf32>) { %filter_transform = "tf.Pad/tf.Transpose/tf.Reshape"(%filter): tensor<7x7x3x64xf32>) -> tensor<4x4x12x64xf32> %conv = "tf.Conv2D"(%input, %filter_transfrom) {strides = [1, 1, 1, 1]}: (tensor<2x112x112x12xf32>, tensor<4x4x12x64xf32>) -> tensor<2x112x112x64xf32> } } ```
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Aug 02 02:26:39 UTC 2023 - 96.4K bytes - Viewed (0)