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Results 1 - 3 of 3 for 32x4x4x128xf32 (0.11 sec)

  2. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/prepare-quantize-dynamic-range.mlir 

    // PerTensor-LABEL: QuantizeTransposeConvWeightOnly
func.func @QuantizeTransposeConvWeightOnly(%arg0: tensor<32x4x4x128xf32>, %arg1: tensor<4xi32>) -> tensor<1x32x42x128xf32> {
  %0 = "quantfork.stats"(%arg0) {layerStats = dense<[0.000000e+00, 1.000000e+01]> : tensor<2xf32>} : (tensor<32x4x4x128xf32>) -> tensor<32x4x4x128xf32>
  %w = arith.constant dense<127.0> : tensor<1x32x42x128xf32>
  %b = arith.constant dense<0.0> : tensor<1x32x42x128xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 38.2K bytes
    - Viewed (0)
  3. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/prepare-quantize-signed.mlir 

    // PerTensor: "tfl.fully_connected"(%arg0, %[[dq]]
}

// CHECK-LABEL: QuantizeTransposeConv
// PerTensor-LABEL: QuantizeTransposeConv
func.func @QuantizeTransposeConv(%arg0: tensor<32x4x4x128xf32>, %arg1: tensor<4xi32>) -> tensor<1x32x42x128xf32> {
  %w = arith.constant dense<127.0> : tensor<1x32x42x128xf32>
  %b = arith.constant dense<0.0> : tensor<1x32x42x128xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 18.4K bytes
    - Viewed (0)
  4. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/quantize-dynamic-range.mlir 

    // PerChannelWeightOnly-LABEL: QuantizeTransposeConvWeightOnly
// PerTensorWeightOnly-LABEL: QuantizeTransposeConvWeightOnly
func.func @QuantizeTransposeConvWeightOnly(%arg0: tensor<32x4x4x128xf32>, %arg1: tensor<4xi32>) -> tensor<1x32x42x128xf32> {
  %w = arith.constant dense<127.0> : tensor<1x32x42x128xf32>
  %b = arith.constant dense<0.0> : tensor<1x32x42x128xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 23 21:09:00 UTC 2024
    - 23.2K bytes
    - Viewed (0)
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