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Results 1 - 2 of 2 for 1x1x1x8x16xf32 (0.28 sec)
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tensorflow/compiler/mlir/lite/tests/prepare-quantize.mlir
} : (tensor<1x6x6x16xf32>) -> tensor<1x1x1x16xf32> func.return %1 : tensor<1x1x1x16xf32> // CHECK: %0 = "tfl.dequantize"(%arg0) // CHECK: %1 = "tfl.average_pool_2d"(%0) // CHECK: %2 = "tfl.quantize"(%1) // CHECK: %3 = "tfl.dequantize"(%2) // CHECK: return %3 : tensor<1x1x1x16xf32> } // CHECK-LABEL: QuantizeMaximum
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 67.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize_patterns.td
// Move binary op batched RHS before reshape: // binary(reshape(lhs), rhs) => reshape(binary(lhs, flatten(rhs))) // Pattern targetted here is as follows- // [input, lhr, rhs] == [<1x1024x128>, <1x1024x8x16>, <1x1x8x16xf32>] // This is valid only when the- // 1.last dimension of lhs is equal to the number of elements in constant rhs. // 2.Reduded shape of rhs, here <8x16> is equal to last dimensions of lhs.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 66.4K bytes - Viewed (0)