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Results 21 - 23 of 23 for 1x6x6x3xf32 (0.63 sec)

  2. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/tests/add_dump_tensor_op.mlir 

        %1 = "tf.PartitionedCall"(%arg0, %cst, %cst_0) {_tfl_quant_trait = "fully_quantizable", config = "", config_proto = "", executor_type = "", f = @composite_conv2d_with_bias_and_relu6_fn_1} : (tensor<1x2x2x3xf32>, tensor<2x2x3x2xf32>, tensor<2xf32>) -> tensor<*xf32> loc(callsit...
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Mar 22 22:55:22 UTC 2024
    - 37.9K bytes
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  3. github.com/tensorflow/tensorflow

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

      func.return %mm : tensor<1x3x3x3xf32>

// CHECK: %[[mm:.*]] = "tfl.batch_matmul"(%arg0, %arg0) <{adj_x = false, adj_y = true}>
// CHECK: return %[[mm:.*]]

// PerTensor: %[[mm:.*]] = "tfl.batch_matmul"(%arg0, %arg0) <{adj_x = false, adj_y = true}>
// PerTensor: return %[[mm:.*]]
}

// CHECK-LABEL: NotQuantizeConst
// Float16-LABEL: NotQuantizeConst
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
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  4. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tensorflow/tests/constant-fold.mlir 

    }

// Test no fold because of the broadcast.
func.func @DontRemoveTrivialMul(%arg0: tensor<1x6x8x1xf32>) -> tensor<1x6x8x1xf32> {
  %0 = "tf.Const"() {value = dense<2.000000e+00> : tensor<f32>} : () -> tensor<f32>
  %1 = "tf.Mul"(%arg0, %0) : (tensor<1x6x8x1xf32>, tensor<f32>) -> tensor<1x6x8x1xf32>
  func.return %1 : tensor<1x6x8x1xf32>
  // CHECK-LABEL: DontRemoveTrivialMul
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jan 31 23:22:24 UTC 2024
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