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Results 11 - 20 of 107 for 7x5xf32 (0.29 sec)

  1. tensorflow/compiler/mlir/lite/tests/optimize.mlir

      %1 = "tfl.reshape"(%0, %cst3) : (tensor<4x2xf32>, tensor<2xi32>) -> tensor<1x8xf32>
      %2 = "tfl.mul"(%0, %cst2) {fused_activation_function = "RELU6"} : (tensor<4x2xf32>, tensor<2xf32>) -> tensor<4x2xf32>
    
      func.return %1, %2 : tensor<1x8xf32>, tensor<4x2xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 16 20:31:41 UTC 2024
    - 284.1K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model/multi_variables_v1.py

    # CHECK-SAME:             -> (tensor<5x5xf32> {{{.*}}})
    # CHECK-SAME: attributes {{.*}} tf_saved_model.exported_names = ["key"]
    
    # CHECK-NEXT: [[R0:%.*]] = "tf.ReadVariableOp"([[ARG0]]) {{{.*}}} : (tensor<!tf_type.resource<tensor<5x3xf32>>>) -> tensor<5x3xf32>
    # CHECK-NEXT: [[R1:%.*]] = "tf.ReadVariableOp"([[ARG1]]) {{{.*}}} : (tensor<!tf_type.resource<tensor<3x5xf32>>>) -> tensor<3x5xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Oct 31 08:49:35 UTC 2023
    - 2.6K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/tensorflow/tests/unroll-batch-matmul.mlir

      // CHECK: return %[[MATMUL_1]] : tensor<4x6xf32>
    }
    
    // -----
    
    func.func @batchMatMulMatrixAdjXY(%arg0: tensor<5x4xf32>, %arg1: tensor<6x5xf32>) -> tensor<4x6xf32> {
      %0 = "tf.BatchMatMul"(%arg0, %arg1) {adj_x = true, adj_y = true} : (tensor<5x4xf32>, tensor<6x5xf32>) -> tensor<4x6xf32>
      func.return %0 : tensor<4x6xf32>
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Dec 06 18:42:28 UTC 2023
    - 63.7K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model/multi_arguments_results_v1.py

    # CHECK-LABEL:      func @key(
    # CHECK-SAME:   %[[ARG0:.*]]: tensor<3x5xf32> {tf_saved_model.index_path = ["y"]}
    # CHECK-SAME:   %[[ARG1:.*]]: tensor<5x3xf32> {tf_saved_model.index_path = ["x"]}
    # CHECK-SAME:                  tensor<3x3xf32> {tf_saved_model.index_path = ["t"]}
    # CHECK-SAME:                  tensor<5x5xf32> {tf_saved_model.index_path = ["s"]}
    # CHECK-SAME: attributes {{.*}} tf_saved_model.exported_names = ["key"]
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Sep 28 21:37:05 UTC 2021
    - 3.5K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/lite/tests/quantize-dynamic-range-float16.mlir

          time_major = false} : (
            tensor<1x2x3xf32>,
            tensor<1x1xf32>, tensor<1x1xf32>, tensor<1x1xf32>, tensor<1x1xf32>,
            tensor<1x1xf32>, tensor<1x1xf32>, tensor<1x1xf32>, tensor<1x1xf32>,
            none, none, none,
            tensor<3xf32>, tensor<3xf32>, tensor<3xf32>, tensor<3xf32>,
            none, none,
            tensor<1x3xf32>, tensor<1x3xf32>,
            none, none, none, none) -> tensor<1x2x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 4.6K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/lite/tests/prepare-quantize-post-training-16bits.mlir

          time_major = false} : (
            tensor<1x2x3xf32>,
            tensor<1x1xf32>, tensor<1x1xf32>, tensor<1x1xf32>, tensor<1x1xf32>,
            tensor<1x1xf32>, tensor<1x1xf32>, tensor<1x1xf32>, tensor<1x1xf32>,
            none, none, none,
            tensor<3xf32>, tensor<3xf32>, tensor<3xf32>, tensor<3xf32>,
            none, none,
            tensor<1x3xf32>, tensor<1x3xf32>,
            none, none, none, none) -> tensor<1x2x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 26.1K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/merge-fusion-with-dequantize.mlir

        return %1 : tensor<1x3xf32>
      }
    }
    
    // -----
    
    // Do not merge when function is not quantized function.
    
    module attributes {tf_saved_model.semantics} {
      // CHECK-LABEL: func.func private @merge_relu_fusion
      func.func private @merge_relu_fusion(%arg0: tensor<1x4xf32>) -> tensor<1x3xf32> {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 04 23:45:53 UTC 2024
    - 14K bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/tfrt/tests/ifrt/rewrite_cluster_to_ifrt_call.mlir

      %outputs_2 = "tf.add"(%outputs_0, %outputs_1): (tensor<1x1xf32>, tensor<1x1xf32>) -> tensor<1x1xf32>
      return %outputs_2 : tensor<1x1xf32>
    }
    
    // CHECK-LABEL: @_func
    func.func private @_func(%arg0: tensor<1x3xf32>, %arg1: tensor<3x1xf32>) -> (tensor<1x1xf32>) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sat Feb 17 07:28:40 UTC 2024
    - 9K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/insert_calibration_statistics_saver.mlir

        return %3 : tensor<1x3xf32>
      }
      func.func private @composite_matmul_with_bias_fn_2(%arg0: tensor<1x4xf32>, %arg1: tensor<4x3xf32>, %arg2: tensor<3xf32>) -> tensor<1x3xf32> attributes {tf_quant.composite_function} {
        %0 = "tf.MatMul"(%arg0, %arg1) <{grad_a = false, grad_b = false, transpose_a = false, transpose_b = false}> {attr_map = "0:transpose_a,1:transpose_b", device = ""} : (tensor<1x4xf32>, tensor<4x3xf32>) -> tensor<1x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 01:09:50 UTC 2024
    - 24.3K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/quantization/tensorflow/tests/insert_custom_aggregation_ops.mlir

        %0 = stablehlo.dot_general %arg0, %arg1, contracting_dims = [1] x [0], precision = [DEFAULT, DEFAULT] : (tensor<1x4xf32>, tensor<4x3xf32>) -> tensor<1x3xf32>
        %1 = stablehlo.add %0, %arg2 : tensor<1x3xf32>
        return %1 : tensor<1x3xf32>
      }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 10 04:07:09 UTC 2024
    - 32.1K bytes
    - Viewed (0)
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