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Results 61 - 70 of 98 for 2x4xf32 (0.1 sec)

  1. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/fold_constant_transpose.mlir

    func.func @transpose_simple_1d() -> tensor<2xf32> {
      %0 = stablehlo.constant dense<[0.000000e+0, 1.000000e+0]> : tensor<2xf32>
      %1 = stablehlo.transpose %0, dims = [0] : (tensor<2xf32>) -> tensor<2xf32>
      return %1 : tensor<2xf32>
    }
    // CHECK-DAG: %[[CONST_0:.+]] = stablehlo.constant dense<[0.000000e+00, 1.000000e+00]> : tensor<2xf32>
    // CHECK-NOT: transpose
    // CHECK: return %[[CONST_0]] : tensor<2xf32>
    
    // -----
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Mar 12 08:06:02 UTC 2024
    - 2.2K bytes
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  2. tensorflow/compiler/mlir/tensorflow/tests/rewrite_tpu_embedding_ops.mlir

      func.return
    }
    
    // CHECK-LABEL: func @no_embedding_ops
    func.func @no_embedding_ops(%arg0: tensor<2x2xf32>) -> (tensor<2x2xf32>) {
      // CHECK: tf.Add
      %0 = "tf.Add"(%arg0, %arg0) : (tensor<2x2xf32>, tensor<2x2xf32>) -> tensor<2x2xf32>
      func.return %0 : tensor<2x2xf32>
    }
    
    // CHECK-LABEL: func @nested_embedding_op
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 4.2K bytes
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  3. tensorflow/compiler/mlir/lite/experimental/tac/tests/e2e/simple-graph.mlir

      %3 = "tfl.pack"(%1, %2) {axis = 0 : i32, values_count = 2 : i32} : (tensor<1xf32>, tensor<1xf32>) -> tensor<2x1xf32>
      func.return %3 : tensor<2x1xf32>
    }
    
    // CHECK: %[[CST:.*]] = arith.constant dense<1> : tensor<4xi32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 1.6K bytes
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  4. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize/quantize_weight_only.mlir

        return %2 : tensor<1x3xf32>
      }
    
      func.func private @composite_dot_general_fn(%arg0: tensor<1x2xf32>, %arg1: tensor<2x3xf32>) -> tensor<1x3xf32> attributes {_from_xla_call_module} {
        %0 = stablehlo.dot_general %arg0, %arg1, contracting_dims = [1] x [0] : (tensor<1x2xf32>, tensor<2x3xf32>) -> tensor<1x3xf32>
        return %0 : tensor<1x3xf32>
      }
    }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 17:10:32 UTC 2024
    - 4.8K bytes
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  5. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/convert_func_to_bfloat16.mlir

    // CHECK-LABEL: @add_f32(%arg0: tensor<3x3xbf16>, %arg1: tensor<3x3xbf16>) -> tensor<3x3xbf16>
    func.func @add_f32(%arg0: tensor<3x3xf32>, %arg1: tensor<3x3xf32>) -> tensor<3x3xf32> {
      // CHECK-NOT: f32
      // CHECK: stablehlo.add
      %0 = stablehlo.add %arg0, %arg1: (tensor<3x3xf32>, tensor<3x3xf32>) -> tensor<3x3xf32>
      return %0 : tensor<3x3xf32>
    }
    
    // -----
    
    // CHECK-LABEL: @add_f64(%arg0: tensor<3x3xbf16>, %arg1: tensor<3x3xbf16>) -> tensor<3x3xbf16>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Feb 08 22:40:14 UTC 2024
    - 6K bytes
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  6. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions_weight_only.mlir

        return %1 : tensor<1x3xf32>
      }
    
      func.func private @composite_dot_general_fn(%arg0: tensor<1x2xf32>, %arg1: tensor<2x3xf32>) -> tensor<1x3xf32> attributes {_from_xla_call_module} {
        %0 = stablehlo.dot_general %arg0, %arg1, contracting_dims = [1] x [0] : (tensor<1x2xf32>, tensor<2x3xf32>) -> tensor<1x3xf32>
        return %0 : tensor<1x3xf32>
      }
    }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 09 05:56:10 UTC 2024
    - 9.4K bytes
    - Viewed (0)
  7. 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)
  8. 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
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  9. tensorflow/compiler/mlir/lite/experimental/tac/tests/get-alternative-subgraph.mlir

    // CHECK:           %[[VAL_9:.*]] = "tfl.reshape"(%[[VAL_8]], %[[VAL_4]]) {tac.device = "GPU", tac.inference_type = "FLOAT"} : (tensor<2xf32>, tensor<2xi32>) -> tensor<2x1xf32>
    // CHECK:           return %[[VAL_9]] : tensor<2x1xf32>
    // CHECK:         }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 20.1K bytes
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  10. tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/quantization.mlir

      %3 = "tfl.dequantize"(%2) : (tensor<2x2x!quant.uniform<u8:f32, 1.0>>) -> tensor<2x2xf32>
      func.return %3 : tensor<2x2xf32>
    
    // CHECK-NEXT: %[[Q:.*]] = "tfl.quantize"(%arg0) <{qtype = tensor<1x2x!quant.uniform<u8:f32, 1.000000e+00>>}> : (tensor<1x2xf32>) -> tensor<1x2x!quant.uniform<u8:f32, 1.000000e+00>>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 4.3K bytes
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