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tensorflow/compiler/mlir/lite/tests/prepare-quantize-post-training.mlir
%10 = "tfl.pseudo_const"() {value = dense<[-1.59288621, 0.904723584]> : tensor<2xf32>} : () -> tensor<2xf32> %11 = "tfl.pseudo_const"() {value = dense<[-0.323118627, 1.77580559]> : tensor<2xf32>} : () -> tensor<2xf32> %12 = "tfl.pseudo_const"() {value = dense<[-1.0347594, -1.09994471]> : tensor<2xf32>} : () -> tensor<2xf32> %13 = "tfl.pseudo_const"() {value = dense<[-2.03072214, -1.63648951]> : tensor<2xf32>} : () -> tensor<2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 52.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/raise-target-subgraphs.mlir
// CHECK-DAG: %[[VAL_1:.*]] = "tfl.pseudo_const"() <{value = dense<1.000000e+00> : tensor<16x3x3x3xf32>}> : () -> tensor<16x3x3x3xf32> // CHECK-DAG: %[[VAL_2:.*]] = "tfl.pseudo_const"() <{value = dense<1.000000e+00> : tensor<16xf32>}> : () -> tensor<16xf32> // CHECK-DAG: %[[VAL_3:.*]] = "tfl.pseudo_const"() <{value = dense<1.000000e+00> : tensor<16x3x3x16xf32>}> : () -> tensor<16x3x3x16xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 74.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize.mlir
%arg1: tensor<32x3x3x3x!quant.uniform<u8<1:255>:f32:3, {1.0,2.0,3.0}>>) -> tensor<1x112x112x32xf32> { %bias = "tfl.pseudo_const"() {value = dense<1.000000e+00> : tensor<32xf32>} : () -> tensor<32xf32> %input = "tfl.dequantize"(%arg0) : (tensor<1x224x224x3x!quant.uniform<u8:f32, 1.5>>) -> tensor<1x224x224x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 67.5K bytes - Viewed (0)