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Results 1 - 3 of 3 for 256x32x32x3xf32 (0.27 sec)
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tensorflow/compiler/mlir/lite/experimental/tac/tests/fold-constants-to-subgraph.mlir
} // ----- module { func.func @main(%arg0: tensor<256x32x32x3xf32>) -> tensor<256x30x30x16xf32> { %0 = "tfl.pseudo_const"() {value = dense<1.000000e+00> : tensor<16x3x3x3xf32>} : () -> tensor<16x3x3x3xf32> %1 = "tfl.pseudo_const"() {value = dense<1.000000e+00> : tensor<16xf32>} : () -> tensor<16xf32> %2 = func.call @fold_all_test(%arg0, %0, %1) : (tensor<256x32x32x3xf32>, tensor<16x3x3x3xf32>, tensor<16xf32>) -> tensor<256x30x30x16xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 10.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf-fake-quant-4bit.mlir
// CHECK: %[[R2:.*]] = "tf.Reshape"(%[[FQ]], %cst) // CHECK-SAME: tensor<2x1xf32> } // CHECK-LABEL: fakeQuantWithConv2D func.func @fakeQuantWithConv2D(tensor<256x32x32x3xf32>) -> (tensor<256x8x7x16xf32>) { ^bb0(%arg: tensor<256x32x32x3xf32>) : %in = arith.constant dense<0.0> : tensor<3x3x3x16xf32> %min = arith.constant dense<0.0> : tensor<f32> %max = arith.constant dense<15.0> : tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 22K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf-fake-quant.mlir
// CHECK: %[[R2:.*]] = "tf.Reshape"(%[[FQ]], %cst) // CHECK-SAME: tensor<2x1xf32> } // CHECK-LABEL: fakeQuantWithConv2D func.func @fakeQuantWithConv2D(tensor<256x32x32x3xf32>) -> (tensor<256x8x7x16xf32>) { ^bb0(%arg: tensor<256x32x32x3xf32>) : %in = arith.constant dense<0.0> : tensor<3x3x3x16xf32> %min = arith.constant dense<0.0> : tensor<f32> %max = arith.constant dense<255.0> : tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.4K bytes - Viewed (0)