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Results 1 - 3 of 3 for FakeQuantWithMinMaxVars (0.77 sec)
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tensorflow/compiler/mlir/lite/transforms/prepare_tf.cc
struct ReorderFakeQuantPattern : public RewritePattern { explicit ReorderFakeQuantPattern(MLIRContext *context) : RewritePattern( ReorderOp::getOperationName(), 2, context, {"tf.FakeQuantWithMinMaxVars", ReorderOp::getOperationName()}) {} LogicalResult findTargetOps( ReorderOp &casted_op, PatternRewriter &rewriter, Operation::operand_range &max, Operation::operand_range &min,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 21:49:50 UTC 2024 - 64.6K bytes - Viewed (0) -
tensorflow/compiler/jit/mark_for_compilation_pass.cc
"RandomGammaGrad", "Igammac", "FFT", "FFT2D", "FFT3D", "FakeParam", "FakeQuantWithMinMaxArgs", "FakeQuantWithMinMaxArgsGradient", "FakeQuantWithMinMaxVars", "FakeQuantWithMinMaxVarsGradient", "FakeQuantWithMinMaxVarsPerChannel", "FakeQuantWithMinMaxVarsPerChannelGradient", "Gather", "GatherNd", "GatherV2",
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/tests/lower_tf.mlir
// CHECK-DAG: %[[VAL34:.*]] = "tf.AddV2"(%[[VAL33]], %[[VAL26]]) : (tensor<?x?xf32>, tensor<f32>) -> tensor<?x?xf32> %0 = "tf.FakeQuantWithMinMaxVars"(%arg0, %arg1, %arg2) {narrow_range = false, num_bits = 8 : i64} : (tensor<?x?xf32>, tensor<f32>, tensor<f32>) -> tensor<?x?xf32> // CHECK: return %[[VAL34]] func.return %0 : tensor<?x?xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 92K bytes - Viewed (0)