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tensorflow/compiler/mlir/lite/tests/quantize-dynamic-range.mlir
// BLOCK-LABEL: QuantizeConv2D func.func @QuantizeConv2D(%arg0: tensor<1x224x224x3xf32>) -> tensor<1x112x112x64xf32> { %w = arith.constant dense<1.270000e+02> : tensor<64x3x3x3xf32> %b = arith.constant dense<-1.23697901> : tensor<64xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 23 21:09:00 UTC 2024 - 23.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/quantize-numeric-verify.mlir
^bb0(%arg0: tensor<1x224x224x3x!quant.uniform<u8:f32, 7.812500e-03:128>>): %cst = arith.constant dense<-1.23697901> : tensor<32xf32> %2 = "tfl.dequantize"(%arg0) : (tensor<1x224x224x3x!quant.uniform<u8:f32, 7.812500e-03:128>>) -> tensor<1x224x224x3xf32> %w = arith.constant dense<-1.0> : tensor<32x3x3x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 15.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-dynamic-range.mlir
func.func @NotQuantizeConst() -> tensor<1x1x12x512xf32> { %w = arith.constant dense<-1.23697901> : tensor<1x1x12x512xf32> func.return %w : tensor<1x1x12x512xf32> // CHECK: %[[w:.*]] = arith.constant dense<-1.23697901> : tensor<1x1x12x512xf32> // CHECK: return %[[w:.*]] // Float16: %[[w:.*]] = arith.constant dense<-1.23697901> : tensor<1x1x12x512xf32> // Float16: return %[[w:.*]] } // CHECK-LABEL: QuantizeCustomOp
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 38.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/quantize.mlir
^bb0(%arg0: tensor<1x224x224x3x!quant.uniform<u8:f32, 7.812500e-03:128>>): %cst = arith.constant dense<-1.23697901> : tensor<32xf32> %2 = "tfl.dequantize"(%arg0) : (tensor<1x224x224x3x!quant.uniform<u8:f32, 7.812500e-03:128>>) -> tensor<1x224x224x3xf32> %w = arith.constant dense<-1.0> : tensor<32x3x3x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 23:10:13 UTC 2024 - 39.7K bytes - Viewed (0)