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Results 11 - 16 of 16 for MAX_POOL_2D (0.47 sec)

  1. tensorflow/compiler/mlir/lite/schema/schema.fbs

      FLOOR = 8,
      FULLY_CONNECTED = 9,
      HASHTABLE_LOOKUP = 10,
      L2_NORMALIZATION = 11,
      L2_POOL_2D = 12,
      LOCAL_RESPONSE_NORMALIZATION = 13,
      LOGISTIC = 14,
      LSH_PROJECTION = 15,
      LSTM = 16,
      MAX_POOL_2D = 17,
      MUL = 18,
      RELU = 19,
      // NOTE(aselle): RELU_N1_TO_1 used to be called RELU1, but it was renamed
      // since different model developers use RELU1 in different ways. Never
      // create another op called RELU1.
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 03 18:01:23 UTC 2024
    - 41.7K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/lite/stablehlo/transforms/uniform_quantized_stablehlo_to_tfl_pass.cc

          // iteration.
          input_dims.push_back(static_cast<int64_t>(dim_to_expand));
        }
        return input;
      }
    };
    
    // Rewrites quantized stablehlo.reduce_window with max to tfl.max_pool_2d.
    class RewriteQuantizedReduceWindowOpWithMax
        : public OpRewritePattern<stablehlo::ReduceWindowOp> {
     public:
      using OpRewritePattern<stablehlo::ReduceWindowOp>::OpRewritePattern;
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Apr 22 09:00:19 UTC 2024
    - 99.8K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir

      %5 = arith.addf %0, %1 : tensor<1x1x1x16xf32>
      %6 = arith.addf %2, %5 : tensor<1x1x1x16xf32>
      func.return %6 : tensor<1x1x1x16xf32>
    
    // CHECK-LABEL: func @maxPool2D
    // CHECK:  "tfl.max_pool_2d"(%arg0) <{filter_height = 3 : i32, filter_width = 6 : i32, fused_activation_function = "NONE", padding = "VALID", stride_h = 3 : i32, stride_w = 1 : i32}> : (tensor<1x1x1x16xf32>) -> tensor<1x1x1x16xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jun 05 01:54:33 UTC 2024
    - 153.4K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/lite/tests/optimize.mlir

      %0 = "tfl.max_pool_2d"(%arg0) {filter_height = 3 : i32, filter_width = 3 : i32, fused_activation_function = "NONE", padding = "VALID", stride_h = 2 : i32, stride_w = 2 : i32} : (tensor<1x147x147x16xf32>) -> tensor<1x73x73x16xf32>
      %1 = "tfl.relu"(%0) : (tensor<1x73x73x16xf32>) -> tensor<1x73x73x16xf32>
      func.return %1 : tensor<1x73x73x16xf32>
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 16 20:31:41 UTC 2024
    - 284.1K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/lite/ir/tfl_ops.td

        return quant::GetFixedOutputRange(is_signed, bit_width, result_type,
            /*scale=*/16.0 / 256, /*zero_point=*/127);
      }
      }];
    }
    
    def TFL_MaxPool2DOp : TFL_Op<"max_pool_2d", [
        TFL_OperandHasRank<0, 4>,
        PredOpTrait<"input and output must have same element type",
          TFL_TCresVTEtIsSameAsOp<0, 0>>,
        Pure,
        SameOperandsAndResultsScale,
        QuantizableResult,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 19:09:08 UTC 2024
    - 186K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/lite/schema/schema_generated.h

    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 21 18:21:50 UTC 2024
    - 1M bytes
    - Viewed (0)
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